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M2040-641 IBM Exceptional Web Experience Sales Mastery Test v1

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M2040-641 exam Dumps Source : IBM Exceptional Web Experience Sales Mastery Test v1

Test Code : M2040-641
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Vendor Name : IBM
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IBM IBM Exceptional Web Experience

Ephox can provide an exceptional wealthy textual content enhancing event at IBM's awesome internet event convention | killexams.com Real Questions and Pass4sure dumps

PALO ALTO, CA--(Marketwired - June 06, 2013) - Ephox (ephox.com), a long-time IBM business accomplice, will demonstrate how its rich text editing utility, EditLive!, can simplify the process of developing and contributing net content at the 2013 IBM remarkable web adventure event. The conference, which makes a speciality of how agencies can carry enticing web experiences, takes region in Berlin, Germany, June eleven-13, 2013. 

In January, Ephox unveiled EditLive! for IBM Connections, a prosperous textual content editor that lets Connections users readily create first-rate content. EditLive! for IBM Connections extends an extended partnership with IBM, during which EditLive! has empowered non-technical authors with the skill to create extremely good content material within IBM net content manager.

"great content is the important thing to an exceptional net event," according to Tom Smith, Ephox VP of worldwide income and advertising and marketing. "Ephox rich text editing options support businesses readily make a contribution more content material and speed up the adoption of IBM Connections, making certain they maximize their enterprise consequences."

EditLive! offers an outstanding wealthy text editing journey which in turn empowers users to create extremely good content, whether it's in IBM Connections or IBM internet content material supervisor. content material authors may also be greater productive and contribute bigger excellent content material, therefore increasing the value of the platform and their enterprise.

exciting capabilities of the EditLive! prosperous textual content editor consist of: clean reproduction and paste from Microsoft office, inline spell checking and thesaurus, photo import and modifying, accessibility compliance checking, inline track adjustments and commenting, and damaged hyperlink checking.

in addition to a June 12 speaking session titled "enhance ROI and Adoption through a very good editing adventure," conference attendees can see a demo of EditLive! for IBM Connections and IBM internet content material supervisor on the Ephox booth. 

About EphoxUsed by using tens of millions of builders and authors international, Ephox's EditLive! wealthy textual content enhancing software makes a speciality of remodeling the web construction journey with the aid of enhancing the productivity and great of web page authoring and administration. The enterprise's expertise is licensed by way of leading internet content material management carriers including IBM, EMC|Documentum, and Open text. For extra information, visit ephox.com/EditLive, follow us on Twitter, or like their facebook page. 

Embedded Video purchasable: http://youtu.be/caChTZQCxhQ


Rajat Paharia founding father of Bunchball to communicate at IBM outstanding web journey 2013 | killexams.com Real Questions and Pass4sure dumps

REDWOOD metropolis, CA, may also sixteen, 2013 (Marketwired by the use of COMTEX) -- Rajat Paharia, generally recognized as the father of gamification, subsequent week will demonstrate enterprise leaders, enterprise analysts and executives attending the IBM notable web adventure 2013 convention how strategically using game mechanics can inspire employees to fully interact with IBM Connections.

In a one-hour presentation on Tuesday, may additionally 21, Paharia will describe how the same proven gamification recommendations used to entice and maintain customers are assisting corporations motivate their employees to work smarter and collaborate stronger, and motivating social communities to share and take part extra.

Paharia is founder and chief product officer of Bunchball, the pioneer and market leader in gamification, and is the author of a impending book from McGraw-Hill: Loyalty three.0: how to Revolutionize client and employee Engagement with huge statistics and Gamification.

In his may additionally 21 talk, Paharia will outline precise-life case stories that illustrate how ingenious agencies are leveraging large facts and the tenets of motivational science to make use of gamification concepts that influence in more advantageous participation, sharing, collaboration, learning and fulfillment.

"corporations invested in IBM Connections are interested in making a more collaborative, responsive and an expert team of workers," spoke of Paharia. "but those results are workable most effective if employees make a corporation's social collaboration platform significant to their each day workflow. during this particular presentation for IBM Connections groups, we'll examine how organisations can stimulate the five intrinsic motivators that exist in every grownup -- the want to be self reliant, to achieve, to enhance, to make a change, and to join with others -- in ways in which create a collaborative lifestyle of loyal and dedicated IBM Connections users."

adventure particulars:

WHAT: IBM super internet journey 2013: "the usage of Gamification to Ignite the widespread Adoption and Utilization of IBM Connections and net event solutions"

WHO: Rajat Paharia, Founder and Chief Product Officer, Bunchball

WHEN: Tuesday, might also 21 at 11:15 a.m.

the place: Wilford Room A, Hilton Chicago, 720 South Michigan Avenue, Chicago, Illinois, 60605

About Bunchball: Bunchball is the market chief and visionary in gamification. Bunchball makes it possible for organizations to enrich business performance throughout their ecosystem through growing extremely energetic and loyal valued clientele, personnel, and partners. Bunchball's complete suite of imaginitive cloud-based mostly solutions empowers corporations to interact and encourage, leading to more desirable employee productiveness, customer loyalty, viewers engagement, and ROI. Bunchball's world-type shoppers encompass Adobe, HP, Cisco, MTV, Comcast, LiveOps, VMware and Hasbro. primarily based in Silicon Valley, Bunchball's investors encompass Granite Ventures, Triangle height companions, Northport Investments, and Correlation Ventures. For greater counsel, discuss with www.bunchball.com, their weblog at www.gamification.com, or follow @bunchball.

MEDIA CONTACT: Mina Manchester Bateman community (415) 697-2565 e mail: mmanchester@bateman-neighborhood.com

source: Bunchball

mailto:mmanchester@bateman-neighborhood.com

(C) 2013 Marketwire L.P. All rights reserved.


New IBM application Transforms the Digital journey | killexams.com Real Questions and Pass4sure dumps

ARMONK, N.Y., July 13, 2012 /PRNewswire/ -- IBM (NYSE: IBM) nowadays announced new software that helps CMOs and CIOs radically change the digital journey for employees, customers and fans throughout a vast range of cellular gadgets. 

(picture: http://pictures.prnewswire.com/prnh/20120713/NY40055) (brand: http://pictures.prnewswire.com/prnh/20090416/IBMLOGO)

the brand new utility brings together the power of social networking, analytics and cellular computing to entrance workplace operations and externally to customers, permitting companies to create remarkable web experiences. in consequence, businesses can benefit sooner insight on client buying patterns and client sentiment enabling them to more directly attain and interact their audiences. 

As a part of today's information, IBM is also announcing the completion of a digital transformation task with the All England lawn Tennis membership. by using touring the brand new www.wimbledon.com from quite a lot of contraptions together with the iPhone, iPad, Android and different pills, fans can share assistance, interact with and fasten to The Championships as in the event that they have been truly there seeing the plays in precise-time.   

The website additionally integrates with a brand new online tv channel, reside @ Wimbledon, alongside IBM's precise time match analysis device, SlamTracker, bringing the most finished digital event to buyers.

"Working with IBM, they now have created a new digital experience that goals to showcase the great thing about Wimbledon to their millions of enthusiasts world wide. It enables them to really engage with the Wimbledon journey as never earlier than," said Mick Desmond, commercial Director at the All England lawn Tennis membership.  "friends can follow the progress of their favourite gamers, view clips of reside matches, view highlights of the day's motion and get ratings and results delivered in real-time.  it's an increasingly interactive and engaging online adventure that draws lovers, avid gamers and the media in ever-stronger numbers."

With the starting to be number of cell instruments, social networks and social media equipment on the upward push, CMOs fight to reach their audiences. at the equal time, CIOs are struggling to give access to company statistics on all sorts of device for a geographically disbursed team of workers. Given the enterprise realignment between advertising and technology, the CMO and CIO can not have the funds for to function on separate degrees. To succeed, they may must forge a shared agenda to deliver enterprise consequences through innovation and effectivity, working collectively to streamline their technology needs. The convergence of social and mobile is prompting businesses to revisit many years-historic website to create exquisite internet experiences to reach and engage with their audiences.

constructing on these increased calls for, IBM is supplying a new customer adventure Suite giving thousands and thousands of advertising experts the power to manipulate and combine all kinds of information on their internet websites and then analyze it for deeper perception into customer purchasing patterns and sentiment. also delivered nowadays, the brand new IBM Intranet journey Suite pulls together enterprise tips and facts, personalised content and news, and social media and analytics, enabling employees to connect, collaborate and entry guidance at anytime, from anywhere.

At European industrial automation expertise brand Omron, employees are connecting abilities and technical knowledge through the corporation's Intranet, helping to meet the particular wants of their shoppers. Omron gives you a superb internet experience to its 1,seven-hundred European employees via a single conversation platform that embeds crucial social information into the each day workflow.  Omron has sped potential sharing across boundaries and between departments, enabling personnel to guide purchasers more advantageous and sooner.

"the realm is changing and is fitting increasingly linked and social," stated Michel Min, Head of Strategic communication & eMarketing, Omron Europe B.V. "as a result of this, they recognize their clients are changing as smartly, which is why or not it's more and more critical to ensure their sales teams have the correct guidance at the right time."

Analytics to support marketers engage Audiences

From digital advertising and cellular commerce, to websites and social media, entrepreneurs are inundated -- regularly paralyzed -- via facts accrued from buyers by way of searches, purchase histories, facebook "likes" and comments on Twitter. combine that with data about in-keep traffic, conversations with name facilities and updates from suppliers, modern day marketers confront a daily deluge of statistics waiting to be sifted for nuggets of intelligence they could act upon to raise their business.

with the aid of 2017, the CMO can have stronger handle of the IT funds than the CIO, according to Gartner(1). advertising budgets will grow 7-8 % over the next one year, which is 2-three instances that of IT budgets. despite the fact, despite their growing to be reliance on technology and their hovering budgets, CMOs conveniently admit they lack the competencies that IT requires.  in line with the IBM CMO examine, while seventy nine % of CMOs are expecting excessive stages of complexity of their job over the next five years, handiest forty eight % feel prepared to contend with it. 

because of this, it be critical for CMOs to no longer most effective be privy to and monitor the social conversation, but to definitely take into account the sentiment and have interaction one-on-one with that customer. Taking it one step further would be to combine these conversations without delay into the corporation's net web page, presenting one location to each community and store.

the brand new IBM client adventure Suite offers CMOs with the power to manipulate and integrate all kinds of information on their web websites and then analyze it for deeper perception into client buying patterns and sentiment. internet records has evolved today to consist of social media, videos, and web-based mostly varieties, as well as common business facts comparable to financial, customer and order statistics, and transactions.  The utility suite pulls collectively IBM's market-leading business portal, web content management, forms, and business social networking software into a single view.

CIOs developing excellent Intranets To help employees profit insight from data Deluge

the new IBM utility additionally helps company leaders prolong their company intranet to a huge range of cellular devices with a view to deepen employee collaboration and tips sharing.

in response to IDC, personnel typically see up to a 30 p.c boost in productiveness using social equipment internally to comprehensive their work(2). With limitless entry to any class of information, buyers are expecting this same degree of information availability in their skilled lives, in an effort to work successfully and reach business goals right now.

the brand new IBM Intranet journey application brings the vigour of social and analytics capabilities to CIOs and features of business employees helping agencies innovate and evolve their inside operations and communications. The solution pulls together company guidance and statistics, personalised content and information, and social media and analytics, enabling personnel to join, collaborate and access assistance at anytime, from anywhere.

as an example, IBM's new intranet platform offers HR executives and business leaders with utility to aid personnel more suitable engage throughout networks and enterprise units, and entry advice from quite a lot of sources including external and inside news feeds.

Working with IBM and its partner Portico, Omron created an award-winning company intranet, called Ozone internally, assisting to create a single-source conversation and collaboration platform for all 1,700 European employees. The IBM Intranet journey Suite integrates with external social media, including Twitter, LinkedIn and YouTube, enabling employees to choose and choose which applications they desire in their Intranet view. as an example, a income manager can leverage the Cognos utility integration to make certain a transparent view into month-to-month revenue reviews by means of location, in addition to competitive history on new product updates and forecasts.

"it be essential to present principal social tips within the correct business context embedded in worker's every day workflow," persevered Min. "through measuring, inspecting and filtering social assistance, after which injecting these insights to the right americans on the right time, true company cost will also be generated by bringing technical understanding directly to the client."

Omron has the ambition to join personnel global, with its Ozone intranet being multiplied into Asia these days. Omron Europe is also trying out mobile access for all normal gadgets together with the iPad.

Sources:(1) Gartner Webinar, by way of 2017 the CMO Will Spend greater on IT Than the CIO, January 2012  (2) IDC, Measuring for fulfillment: Social company ROI, Doc # DR2011_T7_ET, Mar 2011   

Media Contact:Hanna Smigala IBM Media relations 1-720-342-5343smigala@us.ibm.com

supply IBM company


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iPhoney: Test Your Site for iPhone Compatibility | killexams.com real questions and Pass4sure dumps

Can’t afford an iPhone (or don’t live in the US) but eager to check how your site might look on the hottest device of the moment?

Screenshot of sitepoint.com as viewed in the iPhoney application Enter the iPhoney: a small (1.3MB) desktop application that simulates web browsing on the newly released device.

iPhoney is not an iPhone simulator but instead is designed for web developers who want to create 320 by 480 (or 480 by 320) websites for use with iPhone. It gives you a canvas on which to test the visual quality of your designs.

This cleverly named app is a great tool for developers who want a rough idea of whether their site will be usable by the one million iPhone owners who signed up in the first six days. With sales like that, it’s conceivable that, within a few years, visitors browsing on an iPhone could amount to a significant percentage of your site’s visitors.

Sure, developers have always been able to resize their window to test how a site renders on smaller screens, but the beauty of this app is:

  • You can instruct it to send the iPhone User Agent string, in case the site you’re checking performs any content negotiation based on this string.
  • You can instruct it to disable plugins such as Flash and JavaScript, which aren’t yet supported by the iPhone.
  • You can quickly rotate the viewport, as you can on the real thing.
  • Resizing your browser just isn’t as much fun as loading up an iPhone look-alike on your screen.
  • iPhoney is only available for Mac at this point, although given the recent release of Safari for Windows, and the fact that the code has been open sourced, I imagine that a Windows port is not far off.

    Ah, the beauty of having users who are passionate about your product — they’ll create stuff that supports and promotes it all on their own! I don’t know why phone companies don’t offer something like this as a free download — what better way to promote your phone, while at the same time providing a way for developers to ensure that the Web works as it should for more customers?

    Matthew Magain is a UX designer with over 15 years of experience creating exceptional digital experiences for companies such as IBM, Australia Post, and sitepoint.com. He is currently the Chief Doodler at Sketch Group, Co-founder of UX Mastery, and recently co-authored Everyday UX, an inspiring collection of interviews with some of the best UX Designers in the world. Matthew is also the creator of Charlie Weatherburn and the Flying Machine.

    The Best Self-Service Business Intelligence (BI) Tools of 2018 | killexams.com real questions and Pass4sure dumps

    Analytics Beyond Spreadsheets

    For many years, Microsoft Excel and other spreadsheets were the tools of choice for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing complex datasets in Excel can still be frustrating. Sometimes you start with the wrong kind of data, for example, or you may not know how to manipulate the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The need has arisen for effective tools that people of all skill levels can use to make sense of the wealth of information created by businesses every single day.

    Spreadsheets also fall down when the data isn't well-structured or can't be sorted out in neat rows and columns. And, if you have millions of rows or very sparse matrices, then the data in a spreadsheet can be painful to enter and it can be hard to visualize your data. Spreadsheets also have issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the same spreadsheet.

    A spreadsheet containing up-to-the-minute data can also be a problem, particularly if you have exported graphics that need to be refreshed when the data changes. Finally, spreadsheets aren't good for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

    While spreadsheets and self-service BI tools both make use of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a way to store and display calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is all about the math more than the model itself.

    This is all a long-winded way of saying that when businesses use a spreadsheet, they are actively sabotaging themselves and their ability to consistently get valuable insights from their data. BI tools are specficially designed to help businesses better understand their data, and can prove to be a huge benefit to those upgrading from what a limited spreadsheet can do.

    What Is Business Intelligence?

    Defining BI is tricky. When you examine what it does and why companies use it, it can start to sound vague and nebulous. After all, many different kinds of software offer analytics features, and all businesses want to improve. Understanding what a BI is or isn't can be unclear.

    BI is an umbrella term meant to cover all of the activities necessary for a company to turn raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own existence and operations. The ultimate goal is being able to increase profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and contract information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can do regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the art of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this steady progression towards more in-depth knowledge about the business, competitors, customers, industry, market, and suppliers, to name just a few possible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and complex to be entirely handled by mere humans. Early efforts to do these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of certain operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.

    While BI software still covers a variety of software applications used to analyze raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main difference between today's BI software and Big Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from small to large. Big Data analytics and apps handle data analysis for very large data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were popular half a decade or more ago required specialists, not just to use but also to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to get and understand the business—the company decision makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a series of "standard" reporting that analysts would run on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can be highly valuable in fast-moving situations.

    This problem has led to a growing new trend among new BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to be available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and decision makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management tool arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can take advantage of this distributed BI model. Key tools and critical data have moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with new BI software. This results in a whole new kind of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they need but how they need to use it.

    The emerging crop of BI tools all work hard at developing front-end tools that are more intuitive and easier to use than those of older generations—with varying degrees of success. However, that means a key criteria in any BI tool purchasing decision will be to evaluate who in the organization should access such tools and whether the tool is appropriately designed for that audience. Most BI vendors indicate they're looking for their tool suites to become as ubiquitous and easy to use for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. None have gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI tool suites tend to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should happen now), and predictive (what will happen later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a fast and effective method of transferring information from a machine to a human brain. The idea is to place digital information into a visual context so that the analytic output can be quickly ingested by humans, often at a glance. If this sounds like those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to reach more granular information on one or more aspects incorporated in the bigger picture. For example, new values can be added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can turn a static visual into an animation or a dashboard.

    The best visualizations do not seek artistic awards but instead are designed with function in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may look impressive at first glance but, if your audience needs help to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products offer more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are also third-party and even free data visualization tools that can be used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a business analyst. But I also kept in mind the viewpoint of users who might have no familiarity with data processing or analytics. I loaded and used the same data sets and posed the same queries, evaluating results and the processes involved.

    My aim was to evaluate cloud versions alone, as I often do analysis on the fly or at least on a variety of machines, as do legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One example of this is Tableau Desktop, a favorite tool of Microsoft Excel users who simply have an affinity for the desktop tool (and who just move to the cloud long enough to share and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop tool over a web tool anyway." Again, I don't doubt Microsoft's claim but that does seem weird to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop tool preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a pure cloud player. The tool is designed to analyze website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I found them, simply to let buyers know they exist. IBM Watson Analytics is one tool with the ability to extend to highly advanced features and was also one of the easiest to use upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, knowledge of data science. Instead, it works well by using natural language and keywords to form queries, a characteristic that can make it valuable to practically anyone. It's highly intuitive, very powerful, and easy to learn. Microsoft Power BI is a strong second as it, too, is powerful while also familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they all have their own pros and cons. We'll be adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet handle streaming data. For many users, that won't be a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer behavior patterns, streaming data can be invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and make streaming data and streaming analytics a must-have feature. Many of these tools will have to up their game accordingly so, unless you want to jump ship in a year or two, it's best to think ahead when considering BI and the IoT.

    BI and Big Data

    Another area in which self-service BI is taking off is in analyzing Big Data. This is a newer development in the database space but it's driving tremendous growth and innovation. The name is an apt descriptor because Big Data generally refers to huge data sets that are simply too big to be managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and social media tools (to name a few) that have become so popular over the last several years.

    Not only do these tools generate loads of new data, they also often generate a new kind of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this kind of data is heavy on text (even free-form text) while also containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this kind of data include the customer behavior-tracking tools you use to see what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath social media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this new information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. New data storage innovations such as data lakes are emerging to solve for this need, but organizations still relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter Big Data analysis standards. The golden standard here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query Big Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query all of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to perform your queries, but it's typically easier and more effective to use commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, all support this. However, each requires varying levels of configuration or even add-on tools to do so—with IBM, Microsoft, and Tableau offering exceptionally deep capabilities. However, both IBM and Microsoft will still expect customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the Right BI Tool

    Given the issues spreadsheets can have when used as ad hoc BI tools and how firmly ingrained they are in their psyches, finding the right BI tool isn't a simple process. Unlike spreadsheets, BI tools have major differences when it comes to how they consume data inputs and outputs and manipulate their tables. Some tools are better at exploration than analysis, and some require a fairly steep learning curve to really make use of their features. Finally, to make matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to claim the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will take some study and discussion with the people you'll be designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you have this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and stay there.

    In recent years, companies have been taking advantage of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is important to make sure that your employees actually know how to use these BI platforms so that you can make sure your investment was worthwhile. There are many ways of approaching this, but using the right online learning platform might be a good place to start looking.

    Given the wide price range of these products, you should segment your analytics needs before you make any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and make it easy to get started. Plus, they tend to have large ecosystems of add-ons and partners that can be a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop still has the largest collection of charts and visualizations and the biggest partner network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in their roundup. However, all three products received their Editors' Choice award. Tableau Desktop may have a big price tag depending on which version you choose but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to devote some effort to it. Microsoft Power BI and Tableau Desktop also have large and growing collections of data connectors, and both Microsoft and Tableau have their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' development teams so it's a good idea to spend some time looking through those community forums to get an idea where these companies are headed.

  • Pros: Extremely user-friendly. Fantastic automatic report generation. Impressive support availability.

    Cons: Automated reports can quickly become defaults. Steep learning curve that might confuse beginners.

    Bottom Line: Zoho Reports is a solid option for general business users who might not be knowledgeable in analytics software. It's also available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively fast analytics. Robust natural language querying.

    Cons: Unable to do real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes their Editors' Choice honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns their Editors' Choice honor for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: Enormous collection of data connectors and visualizations. User-friendly design. Impressive processing engine. Mature product with a large community of users.

    Cons: Full mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most mature offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might be too difficult for self-service business intelligence (BI). Analytics process still needs to be ironed out. Natural language capability can be limited.

    Bottom Line: Sisense is a complete platform that should be popular for experienced BI users. It may fall short for beginners, however.

    Read Review
  • Pros: Wide range of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. Steep learning curve. Unwelcoming to new analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already have business intelligence (BI) experience in their organization. Domo's a powerful BI tool with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer support has way too much automation. Focus on marketing and advertising can be frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest name in website and mobile app intelligence. It has a steep learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with general business users in mind. Solid return on investment.

    Cons: The data you can use is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners make it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plentiful extenders. Responsive pages make mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But be warned that there's a steep learning curve and a noted dependence on other SAP products for full functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. Complex queries are handled very well.

    Cons: Poorly designed user interface. Steep learning curve.

    Bottom Line: Chartio excels at building a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those new to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very deep SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for small teams.

    Bottom Line: Looker is a great self-service business intelligence (BI) tool that can help unify SQL and Big Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: Complex pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) tool that delivers the best collection of user access roles among the BI tools they tested, and also demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free trial available. Training webinars can be costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) tool WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very easy to get started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features found in Windows version. Online documentation could be improved.

    Bottom Line: While Tibco is still making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) tool Tibco Spotfire is a great way to start visualizing your Excel data.

    Read Review
  • Pros: Excellent analytical support for Intuit QuickBooks. Very easy setup.

    Cons: Installation and setup is a bit of chore. No support for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) tool for in-depth analysis of your Intuit QuickBooks files, though you'll need to look elsewhere for broader BI tasks.

    Read Review

  • Cambridge Technology Enterprises Ltd Management Discussions. | killexams.com real questions and Pass4sure dumps

    THE WORLD IS TRANSFORMING 2017

    The world is transforming and they are in the middle of the single largest transformation the world has even seen since the Industrial Revolution nearly 250 years ago. Big Data powered by Artificial Intelligence (AI) and Machine Learning is the next natural resource, like air, oil, water, and the convergence of Big Data and Cloud with AI and Machine Learning is a potential multi-trillion-dollar opportunity.

    AI is transforming the way businesses are defined, designed and delivered and enterprise value is captured. The trend is accelerating as a recent research from Gartner estimates that customers will be able to manage 85 percent of the interactions with an enterprise without human intervention by 2020. In the years to come, enterprises will adopt a differentiated IT strategy by implementing AI and exploring the potential of Big Data.

    TOP STRATEGIC IT INDUSTRY FORECASTS

    • According to a new research by Salesforce ‘State of the Connected Customer, 57 percent of consumers expect voice-activated smart assistants to have a major or moderate impact on their daily lives by 2020.

    • Gartner predicts that 30% of all companies will employ AI to augment at least one of their primary sales processes by 2020.

    • According to Gartner, 20% of companies will dedicate workers to monitor and guide neural networks by 2020.

    • As per McKinsey, the total annual external investment in AI was between $8B-$12B in 2016, with ML attracting nearly 60% of that investment.

    • IBM Watson forecasts a $2 trillion opportunity in the ML market over the next decade.

    • IDC estimates that by 2020, transactions on the internet will reach 450 billion per day and enterprise-generated content will exceed 240 exabytes i.e. 240 billion gigabytes daily.

    • A survey by Veritas states that over 70 percent of enterprises has the opinion that cloud is no more ‘optional for companies to remain competitive. • According to IDC, 60 percent of ML will run on Amazon, Google, IBM, or Microsoft by 2020.

    ARTIFICIAL INTELLIGENCE

    IDC predicts that the Cognitive Systems and AI market will grow from $8 Billion in 2016 to $47 Billion in 2020. Forrester predicts a 300% increase in AI investments in 2017 compared to 2016.

    "We are entering a new world. The technologies of machine learning, speech recognition, and natural language understanding are reaching a nexus of capability." –Amy Stapleton, Independent Industry Analyst : Opus Research

    Information and communications, Manufacturing and Financial Services are the early adopters of AI and will see the highest growth rates driven by AI in 2035. (Source – McKinsey and Accenture Research).

    AI can make immediate contributions towards critical business decisions leading to increased profitability for the organizations. Some of the areas where the impact of AI can be felt almost immediately are supply chain management, forecasting, inventory optimization and production scheduling in Manufacturing, improving efficiencies by reducing the errors in repetitive, manual tasks including credit scoring and first-level customer inquiries for financial services. AI drives significant cost, time and process-related savings rapidly for all the industries. Availability of high-speed bandwidth, computing resources and growth in Big Data are the three key drivers for Artificial Intelligence and will continue to fuel AI implementation by enterprises for long term benefits.

    The current AI wave is poised to finally break through

    Investment in AI is growing at a high rate, but adoption in 2017 remains low

    Machine Learning

    AI is a broad term that encompasses a lot of technologies with different capabilities to support decision making. One such technology is Machine Learning. Machine Learning implementation will grow as Machine Learning as a Service (MLaaS) and is estimated to grow from USD 613.4 Million in 2016 to USD 3,755.0 Million by 2021, at a CAGR of 43.7% from 2016 to 2021.

    ML contributions across industries cover range of functions like customer services, sales & marketing, production challenges, data analysis and predictive analysis for decision making. The data rich organizations have a clear advantage because of MLs ability to learn and improve continuously.

    Exponential Data Growth in terms of unstructured data and real-time data from IoT networks, and economics of digital storage and cloud computing are growth drivers for ML across industries. According to Gartner, 80% of enterprise data is unstructured and critical for strategic business decisions, further adding to an inevitable need for ML implementation.

    Big Data

    IDC estimates that worldwide revenues for Big Data and Business Analytics will grow from $130 Billion in 2016 to more than $203 Billion in 2020, at a CAGR of 11.7%. Large companies will be the primary adopters of the Big Data opportunity, expected to generate revenues exceeding $154 Billion in 2020.

    Big Data is making an impact across various business operations like customer sentiment analysis, hyper-personalized customer experiences, reducing churn rate of customers, understanding buying and media preference of customers, and fraud and risk management to mention a few. The major drivers for Big Data are business needs of innovation, potential for new insights and growth of data in various formats with huge potential to contribute to profitability of businesses.

    Cloud

    As per Gartner, public cloud services market is poised to grow up from $209.2 Billion in 2016 to $246.8 Billion in 2017. Infrastructure as a service (IaaS) will continue to drive highest growth and is projected to grow 36.8 percent in 2017 to reach $34.6 Billion.

    SaaS will continue to grow as second largest segment in cloud services market. Cloud services market will experience additional demand to migrate existing in-house infrastructure to the cloud because of Artificial Intelligence and Internet of Things (IoT).

    THE CONVERGENCE IS REAL NOW

    Data is growing faster than ever before. According to Marketing Cloud report by IBM, 90% of the data in the world today has been created in the last two years alone. Today, less than 1% of the worlds data is analysed, according to Digital Universe Study. Implementing AI technologies have the ability to harness the full potential of data.

    AI and Machine Learning have been discussed for decades but the convergence of Big Data and Cloud with AI and Machine Learning is real now for three reasons:

    a. Computing power: Computing resources available today are exceptional. With access to technologies like AWS, Microsoft Azure, computing power is no longer a constraint.

    b. Bandwidth: Better availability of high bandwidth has positively impacted accessibility.

    c. Data: Access to large volumes of unstructured and structured data is changing the information landscape at their disposal.

    THE PARADIGM SHIFT

    The last generation of trillion dollars were created out of traditional Indian IT technology businesses that were focused on back-end and costs. The next trillions of dollars will be created by front-end innovation driven technology companies focused on value.

    AI is going to transform businesses faster than ever and the first signs of this transformation are seen in sectors like:

    Energy: Advances in disruptive technologies will see potential challenges in Energy sector getting resolved. For instance, U.S. Energy Information Administration says that buildings account for 48.7 percent of overall energy consumption, more than any other industry. Powerful computation models built on Big Data and Cloud can help reduce dependency on energy, availability, costs and consumption.

    Lifesciences & Pharmaceuticals: The use of transformative technologies to understand the complexities that arise from the combination of a variety of data from areas like clinical research, plants and animal genomics could reveal completely innovative approaches to treatment of diseases.

    Data Infrastructure: There is a huge opportunity for Information Management in the areas like Data storage, Fraud Detection and Prevention, Compliance Reporting, Risk Management to name a few.

    THE TECHNOLOGICAL DISRUPTION

    AI will define industries both new ones and old leveraging Big Data, Cloud and Machine Learning to transform data into a valuable knowledge asset and a catalyst for disruption. Every human life and business in this world will be transformed with this disruption and millions of transformative businesses will be created. The result is a brave new world and a transformation of an old world.

    ABOUT CTE

    The Opportunity - Discovering AI is the new normal

    As the world transforms, businesses are going to end up with ‘haves and have-nots in the AI space. There will be businesses with resources to implement AI solutions and use AI to get to decisions, and there will be businesses standing still in the have-not space. According to a Forrester report "Predictions 2017: Artificial Intelligence Will Drive The Insights Revolution", businesses adopting AI will take revenues worth $1.2 trillion per annum from their less informed peers by 2020. Discovering the power of AI for your business will be the new normal.

    Your company solves the worlds complex and most interesting business challenges with AI, transforming organizations into "AI-first" leaders by enabling its customers to create AI solutions that transform their businesses and industries. Your companys products and services address all the transformational AI needs of an organization — from strategic workshops and ready-to-deploy solutions, to implementation of transformative business solutions through its AI as a Service (AIaaS) leveraging Big Data, Cloud & Machine Learning experience.

    Integrated Offerings

    Businesses need a lot of elements to implement AI. They need an element of Big Data and Cloud which is provided by Cambridge Bigdata where your company serves enterprise clients, then they need the elements of Cambridge Bizserve that allows to manage data, then they need elements of innovation offered by Cambridge Innovations that help businesses leapfrog and most importantly, draw insights to take the decisions, offered by Cambridge DataScience. Your companys offerings fit together because of its understanding towards the entire lifecycle of a business.

    Building the Foundation

    In 2015, your company envisaged a two-year business plan for 2015-16 and 2016-17 to focus on three areas – building partnerships, acquiring referenceable clients in its chosen verticals and acquiring relevant expertise in technologies. In 2016-17, your company achieved the revenues of INR 100 crores while serving marquee enterprise clients like Schneider Electric, Hills Pet Nutrition and Iron Mountain. In the last two years, your company has put together the foundation that allows it to be better prepared to take advantage of the market opportunity.

    PARTNERSHIPS

    Through its partner network, your company gains access to the best technology framework and solutions, strengthening its delivery capabilities.

    Amazon Web Services: Your company has developed deep relationship with AWS spanning all disciplines in the organization and has invested consistently in the AWS technology stack. Your company has successfully delivered several projects on AWSs technology, including; Redshift, SaaS applications, Dev/Test and QA environments, Architecture Design and Implementation, BI/BA, S3, Glacier and more. Your company is committed to continue building its AWS relationship and leveraging technology for the benefit of its customers. In 2017, your company has further strengthened its relationship with AWS by achieving Big Data Competency Status, Oracle Enterprise Applications Competency Status, DevOps Competency Status and Managed Service Provider Status.

    Atlassian: As an Atlassian Solution Partner, your company will be consulting, implementing and delivering solutions to customers, enabling them to unleash their teams potential. By leveraging products like by JIRA Software, JIRA Service Desk, JIRA Core, Status Page, Confluence, Trello and HipChat, customers are able to quickly collaborate on various issues and experience better project transparency.

    Apica: Apica is a leading provider of monitoring and load testing software. Your companys partnership with Apica will assist its customers to determine maximum capacity limits, monitor daily performance, establish performance benchmarks, reduce business risks and optimize infrastructure investments, resulting in lower bounce rates and higher revenues.

    CA Technologies: Your company has joined CA Technologies partner program to leverage their broad array of leading edge solutions. Partnering with CA gives its customers access to technology and technology experts that expands and accelerates their technology adoption cycle personalized for their specific needs.

    ForgeRock: Your company has joined ForgeRocks partner program to leverage ForgeRocks identity solutions.The partnership provides both existing and new customers with an added array of application migration, development and managed services offerings coupled with ForgeRocks Access Management, Identity Management, Identity Gateway and Directory Services. This will help customers that are looking for end-to-end solutions to take advantage of their full suite of offerings.

    Microsoft Azure: Your company provides Microsoft Azure deployment and migration services to help clients reduce cost and rapidly build, deploy and manage applications across a global network of Microsoft-managed data centers. Your company specializes in Cloud Assessment, Cloud Roadmap & Strategy, Cloud Migration and Consulting, Analytics, Big Data on Cloud and IoT.

    New Relic: Your company joined the New Relics partner program in 2014 and has been using New Relic technology since 2013. By incorporating New Relics solutions, your company benefits from an increased top line and critical product differentiation. Your company includes New Relics functionality in its offerings to provide monitoring capabilities to a large percentage of its customer base. Oracle Gold Partner: Your company has obtained Gold Partner status with Oracle making it eligible to develop, sell and implement the full stack of Oracle products and solutions.

    Pentaho: Your company has partnered with Pentaho which allows it to apply Pentahos business intelligence offerings to meet its customers need for powerful business analytics and data integration. Pentaho, a Hitachi Group company, is a leading data integration and business analytics company with an enterprise-class, open source-based platform for diverse big data deployments.

    Rackspace: Your company has joined the Rackspace Partner Network to provide its customers with a portfolio of Hybrid Cloud solutions. Rackspace is a leading provider of hybrid clouds, which enable businesses to run their workloads where they run most effectively – whether on the public cloud, a private cloud, dedicated servers, or a combination of these platforms.

    Tableau: Your company has obtained the status of Preferred Alliance Partner with Tableau making it eligible to integrate Tableaus software into its Cloud and Big Data solutions that it deploys to help clients unlock the power of data. The partnership will combine the global talent pool and client reach of your company with Tableaus breakthrough analytics technology.

    Focused on verticals: Your company has added a referenceable client in each of its verticals - Energy and Utilities, Life Sciences & Pharmaceuticals, Industrials, BFSI and Data Infrastructure.

    Certified Workforce: Your company is one of the few organizations in the world with 100 percent AWS certified Cloud Operations Center with the ability to provide 24/7 management of Public, Hybrid and Private cloud architectures.

    Certifications and Accreditations: Your company is appraised at the Level 5 of the CMMI Institutes Capability Maturity Model Integration (CMMI) v1.3 for its services. This indicates that CTE is operating on highly "Optimized" processes. There are only~30 companies appraised at this level for services in India.Your company is also certified withISO 9001:2008, ISO 27001:2005 which affirms that your company is highly committed to business solutions and processes it follows in serving its clients.

    Global Presence: In line with providing its global clients access to 24/7 development cycle, your company reinforced its U.S. presence and expanded its offshore delivery centers in India.

    VISION 2020

    Your company is pleased to announce its Vision 2020. For their Vision 2020, your company will focus on the following: a. Organic Growth: Over the next three years, on an average, your company expects an annual revenue of $10M approximately from each of its four growth drivers i.e. Cambridge Bigdata, Cambridge Bizserve, Cambridge DataScience and Cambridge Innovations. b. Upside from equity: Your company believes it will take 3-5 years to generate liquidity from its investments.

    c. Inorganic Growth: Your company has the potential to explore inorganic growth opportunities.

    Your company expects that the above three revenue streams will yield results in the next three years to hopefully achieve $50M revenues with focus on profitability.

    OUTLOOK

    Your company gives organizations unparalleled access to cutting-edge technology by bringing together the best-in-industry using its years of expertise in building solutions for some of the worlds largest and most innovative enterprises. Your companys expertise across multiple domains makes it the preferred choice for organizations seeking an AI Partner to innovate and leapfrog the market.

    THREATS, RISKS & CONCERNS

    The potential threats and risks are usually aligned either to change in the external environment such as changes in the technology/customer preferences/business dynamics or finding the right talent and retaining them. Your company is well positioned to minimize the potential identified threats and risks, and the way it does is detailed below:

    Changing Technological Trends

    With the moving pace of technology and the way these variables change with time, it becomes imperative for the service provider to keep up with the pace and adopt the learning curve. They constantly endeavor to stay ahead of the technology curve by building capabilities to meet the current and future needs of their customers.

    Training

    At CTE, all employees undergo relevant set of trainings imperative to serve the existing and future business needs. This helps greatly minimize the risk of change of technology.

    Attracting and Retaining Talent

    Finding the right kind of talent and retaining them could pose a challenge for any business like ours. The dynamic nature of technology, increasing demand from clients, etc., warrants the company to focus on finding the right kind of talent and their retention for its existence and delivering sustainable growth. Hiring the best of the breed talent forms the core belief at CTE.

    Exchange rate risk

    A substantial part of the CTEs revenues accrues in US dollars, therefore inevitably exposed to fluctuations in exchange rates of foreign currency. Any major change in foreign currency exchange rates will have an impact on the companys earnings.

    Competition

    The IT Services industry is intensely competitive with local and MNC players having a sizable presence. Competitive pressure could adversely affect pricing strategy for services impacting growth and profitability. Over the years, CTE has developed deep domain knowledge and delivery capabilities with skilled workforce which has made the organization to remain competitive.

    FINANCIAL OVERVIEW

    CONSOLIDATED FINANCIAL HIGHLIGHTS

    Snapshot (In INR Lakhs)

    Revenue 10060.36 6582.49 53% Total Expenditure 7854.94 5439.60 EBIDTA 2205.42 1142.89 93% Tax Expense / (Tax Benefit) 376.17 (251.21) Net Profit 1688.30 905.69 86% Fixed Assets 860.96 1900.45 Reserves & Surplus 2569.02 1915.82 34%

    a. Revenue

    Revenue increased by 53% to INR 10060.36 Lakhs for the year ended 31st March, 2017 as compared to INR 6582.49 Lakhs for the same period last year. b. Net Profit & Reserves and Surplus

    Net Profit increased by 86% to INR 1688.30 Lakhs for the year ended 31st March, 2017 as compared to INR 905.69 Lakhs for the same period last year. As a result of increase in the consolidated profit, Reserves and Surplus have increased from INR 1915.82 Lakhs in FY 2015-16 to INR 2569.02 Lakhs in FY 2016-17. Accumulated losses and unamortised goodwill as on March 31, 2016 have been adjusted against balance of Securities Premium Account. c. Fixed Assets

    Net fixed assets stood at INR 860.96 Lakhs as on 31st March, 2017 compared to INR 1900.45 Lakhs as on 31st March, 2016. d. EBIDTA

    The EBITDA increased by 93% at INR 2205.42 Lakhs for the year ended 31st March, 2017 as compared to INR 1142.89 Lakhs for the same period last year. e. Expenditure

    Total Expenditure increased to INR 7854.94 Lakhs for the year ended 31st March, 2017 as compared to INR 5439.60 Lakhs for the same period last year. Out of the above, Employee cost stood at INR 4186.42 Lakhs in FY 2016-17 as compared to INR 3407.25 Lakhs for the same period last year.

    STANDALONE FINANCIAL HIGHLIGHTS

    Snapshot (In INR Lakhs)

    Year 2016 – 17 2015 – 16 Growth Revenue 3865.55 2945.33 31% Total Expenditure 3396.21 2463.16 EBIDTA 469.34 482.17 -3% Tax Expense / (Tax Benefit) 269.86 (245.77) Net Profit 424.36 558.50 -24% Fixed Assets 118.86 836.19 Reserves & Surplus 756.43 1309.20 -42%

    Revenue increased by 31% to INR 3865.55 Lakhs for the year ended 31st March, 2017 as compared to INR 2945.33 Lakhs for the same period last year. b. Net Profit & Reserves and Surplus

    Net Profit decreased by 24% to INR 424.36 Lakhs for the year ended 31st March, 2017 as compared to INR 558.50 Lakhs for the same period last year. As a result of decrease in profits, and due to adjustment of accumulated losses and unamortised goodwill as on March 31, 2016 against balance of Securities Premium Account, Reserves and Surplus have decreased from INR 1309.20 Lakhs in FY 2015-16 to INR 756.43 Lakhs in FY 2016-17. c. Fixed Assets

    Net fixed assets stood at INR 118.86 Lakhs as on 31st March, 2017 compared to INR 836.19 Lakhs as on 31st March, 2016. d. EBIDTA

    The EBITDA decreased by 3% at INR 469.34 Lakhs for the year ended 31st March, 2017 as compared to INR 482.17 Lakhs for the same period last year.

    e. Expenditure

    Total Expenditure increased to INR 3396.21 Lakhs for the year ended 31st March, 2017 as compared to INR 2463.16 Lakhs for the same period last year. Out of the above, Employee cost stood at INR 2063.19 Lakhs in FY 2016-17 as compared to INR 1613.70 Lakhs for the same period last year. The details of the financial performance of your company are appearing in the Balance Sheet, Profit & Loss Account and other financial statements forming part of this Annual report.

    INTERNAL CONTROL SYSTEMS AND THEIR ADEQUACY

    Your companys board and management team monitor and make enhancements to your companys systems for internal control and risk management on an ongoing basis. Your companys efforts towards this go beyond what is mandatorily required, with active monitoring and review to ensure adequacy of control systems and to identify potential risks as well as recommend or implement measures to mitigate them.

    Your Company has a proper and adequate system of internal control to ensure that all assets are safeguarded and protected against loss from unauthorized use or disposition and that the transactions are authorized, reported and recorded correctly. Your companys internal control system is adequate considering the nature, size and complexity of its business. Your companys internal control systems provide, among other things, reasonable assurance of recording the transactions of its operations in all material respects and of providing protection against significant misuse or loss of company assets. These also enable your company to adhere to procedures, guidelines, and regulations as applicable in a transparent manner.

    Your companys internal control systems are supplemented by an internal audit program and periodic reviews by the management. Your company has appointed an independent audit firm as its Internal Auditors and the Audit observations are periodically reviewed by the Audit Committee of the Board of Directors and necessary directions are issued, wherever required.The existing internal control systems and their adequacy have been reviewed extensively during the year by internal auditors and statutory auditors. They have expressed an opinion that the internal control system is adequate and functioning effectively.

    HUMAN RESOURCES / INDUSTRIAL RELATIONS

    Your company is committed to create an environment of learning and development, promote internal talent and build an appreciating culture. Your Company has created platforms for recognizing and motivating employees for the good work they do in the organization. Sound human resource development policies of your Company ensures that each employee grows as an individual and contributes to the performance of your Company. It also works towards building a work culture aimed at achieving higher performance orientation.

    Our employees are their most important and valuable assets. All your Companys policies are focused towards a healthy, happy and prosperous work environment for its employees and thereby also fulfill the aspirations of the people at work. Your Company along with its subsidiaries ended the year with a headcount of 317. The key elements that define their culture include professional working environment, training and development, and compensation.

    DISCLAIMER

    Certain statements in this report or elsewhere in the Annual Report may contain statements concerning Cambridge Technology Enterprises Limited and its growth prospects, expected financial position, business strategy, future development of the companys operations, general economy, industry structure and other developments that are individually and collectively forward-looking statements. Such forward-looking statements are not guarantees of actual results, future performance or achievements and are subject to known and unknown risks, uncertainties and assumptions that are difficult to predict. These risks and uncertainties include, but are not limited to, the performance of the Indian economy and of the economies of various international markets, the performance of the industry in India and world-wide, competition, changes in government policies or regulations of India, changes relating to the administration of the company, the companys ability to successfully implement its strategy, the Companys future levels of growth and expansion, technological implementation, changes and advancements, changes in revenue, income or cash flows, the Companys market preferences and its exposure to market risks, as well as other risks. The Companys actual results, levels of activity, performance or achievements could differ materially and adversely from results expressed in or implied by this report. The Company assumes no obligation to update any forward-looking information contained in this report.



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    References :


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    weSRCH : https://www.wesrch.com/business/prpdfBU1HWO000LKEI
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