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SAN FRANCISCO, Oct. three, 2017 /PRNewswire/ -- Oracle OpenWorld -- Oracle today announced three fundamental enhancements to Oracle large statistics Platform Cloud. the brand new capabilities bring vital capabilities basic to big records tasks, and permit consumers to simplify and speed up facts-driven company outcomes whereas making it less demanding for them to leverage adaptive intelligence in their personal applications and functions.
large records tasks are critical to innovation, but may also be difficult to execute due to complexity and the gap in abilities required to coordinate all of the critical items. To support consumers address these issues and extra with no trouble control the total massive statistics lifecycle, Oracle is asserting integrated huge information features in Oracle Cloud Platform.
"massive facts initiatives are an important part of starting to be a company, however the manner is still complex and challenging for every person involved," said Greg Pavlik, senior vice president and CTO, Oracle Cloud Platform. "via supplying an conclusion-to-conclusion, unified platform that simplifies and accelerates massive data analytics tasks in the cloud, we're minimizing challenges and helping purchasers increase their expense of success. Their imaginative and prescient is to empower their customers to research any class of facts from any supply for every person."
Unveils Oracle Analytics Cloud, data Lake edition, for huge statistics Analytics Oracle is unveiling Oracle Analytics Cloud, records Lake version, which unlocks big data analytics at scale on Oracle huge information Cloud and Apache Spark. With Oracle Analytics Cloud, facts Lake, any analyst can now discover all facts in records lakes, mix it with own, business, or exterior sources to discover new insights, rapidly increase and enrich those statistics sets and persist them by using growing data flows that are completed at scale. A developed-in fast layer with Oracle Essbase and Oracle Database Cloud serves the consequent information throughout the enterprise, supplying quickly, interactive visualization and a layer of governance on massive records. The platform additional enhances analytics via providing options for facts enrichment and visualization powered by laptop gaining knowledge of to make analytics clients greater productive.
Oracle Analytics Cloud, information Lake edition, additionally introduces automated advent of computing device learning fashions, which may also be applied inline to intelligently augment records and records move advent and execution. furthermore, analysts can draw from tons of of Oracle advanced Analytics and Spark functions to further enrich their information and statistics flows.
Oracle Analytics Cloud is tightly built-in with Oracle Integration Cloud and Oracle massive statistics Cloud. collectively, this unified platform presents low complete can charge of ownership for probably the most finished set of analytics capabilities within the industry, from self-carrier visualization and data education on data at any scale to business reporting, superior analytics, dynamic user-pushed modeling, and self-discovering mobile analytics that give proactive insights.
adds AI Capabilities to Oracle huge information Cloud Oracle has embedded three computing device researching and analytics capabilities in Oracle huge facts Cloud, which reduce records movement and accelerate consequences. Oracle R advanced Analytics for Hadoop hurries up the algorithms accessible in SparkMLlib up to 32X; GPU help for Apache Spark and TensorFlow frameworks additional speed up algorithm efficiency for deep learning analytics; and Oracle large records Spatial and Graph allows valued clientele to find relationships and connections amongst purchasers, businesses, and property, and enrich multi-structured information with vicinity tips.
Oracle large data Cloud also now comprises Oracle huge records Connectors to provide quicker and less difficult information stream between Oracle Database and data lakes. moreover, Oracle adventure Hub Cloud additionally offers a fully computerized method to persist streaming records into Oracle Storage Cloud and integrates with Oracle information Integration Platform Cloud, helping to make constructing records lakes in the cloud both less complicated and more affordable than ever earlier than.
ultimately, Oracle is asserting two new services: Oracle Graph Cloud service is a totally managed, tremendously scalable, graph database and analytics engine with integrated development and visualization tools. Oracle NoSQL Database Cloud service is the handiest completely managed NoSQL database that offers valued clientele the choice of storing their data in the Oracle Cloud or in their own datacenter.
Unveils statistics Integration Platform Cloud Oracle is saying the Oracle information Integration Platform Cloud service, which gives you unified, finished business-grade data ingestion and ETL capabilities. The service additionally features a push-down processing mannequin for each streaming and batch ETL statistics pipelines for subsequent-generation data ingestion from all Oracle and non-Oracle information sources and functions. moreover, the carrier supports a big range of facts cleaning, statistics catalog, and metadata options for usual business records sources to aid make certain correct facts utilization and regulatory compliance.
Already an trade-diagnosed chief in streaming records systems, Oracle movement Analytics has been improved to run natively from Oracle Cloud Platform. Oracle stream Analytics is in line with core big information applied sciences like Apache Kafka and Apache Spark, and is tightly built-in with Oracle large statistics Cloud and Oracle experience Hub Cloud.
About Oracle The Oracle Cloud presents finished SaaS software suites for ERP, HCM and CX, plus foremost-in-class database Platform as a carrier (PaaS) and Infrastructure as a service (IaaS) from records centers all the way through the Americas, Europe and Asia. For more information about Oracle ORCL, +0.72% please seek advice from us at www.oracle.com.
About Oracle OpenWorld Oracle OpenWorld, the trade's most vital company and technology conference for the previous 20 years, hosts tens of thousands of in-adult attendees as well as millions on-line. dedicated to assisting organizations leverage Cloud for his or her innovation and growth, the conference delivers deep insight into business trends and breakthroughs driven through technology. Designed for attendees who are looking to connect, learn, explore and be inspired, Oracle OpenWorld presents greater than 2,500 educational sessions led by more than 2,000 consumers and companions sharing their experiences, first hand. With a whole lot of demos and arms-on labs, plus exhibitions from greater than 400 partners and shoppers from all over the world, Oracle OpenWorld has develop into a exhibit for main cloud technologies, from Cloud functions to Cloud Platform and Infrastructure. For more guidance; to register; or to watch Oracle OpenWorld keynotes, periods, and greater, talk over with www.oracle.com/openworld. be a part of the Oracle OpenWorld dialogue on Twitter.
safe Harbor Disclaimer The previous is intended to define their widely wide-spread product direction. it is intended for assistance applications only, and might now not be incorporated into any contract. It is not a commitment to carry any fabric, code, or performance, and should now not be relied upon in making paying for decisions. The building, unlock, and timing of any features or functionality described for Oracle's products remains on the sole discretion of Oracle corporation.
Statements listed here concerning Oracle's future plans, expectations, beliefs, and intentions are "forward-looking statements" and are field to cloth dangers and uncertainties. Such statements are in response to Oracle's existing expectations and assumptions, some of which might be past Oracle's manage. All information in this article is latest as of October 3, 2017 and Oracle undertakes no responsibility to replace any statement in light of recent advice or future movements.
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Oracle's new self sustaining Database Cloud can be cheaper, sooner and, with the addition of the Oracle Cyber protection gadget, safer than the rest from Amazon net services (AWS). as a minimum it truly is the fact Oracle executive Chairman and CTO Larry Ellison wants each person to remember from remaining week's Oracle Open World 2017 (OOW17) experience in San Francisco.
whether Oracle's claims are reasonable and correct comparisons is still to be seen, because the first unencumber of the Oracle self sustaining Database, through a knowledge Warehouse Cloud carrier, may not be available unless December. count on it being at least just a few extra months earlier than impartial reviewers can do unbiased assessments against rival cloud capabilities.
it would be about that same time -- six months from now -- that a number of other facts-linked bulletins from OOW17 will basically be available. Some notable OOW17 bulletins are commonly attainable nowadays, such because the Oracle big facts Cloud, Oracle event Hub and movement Analytics Cloud features, and the Oracle Analytics Cloud information Lake version. but no matter if it's the subsequent circular of Adaptive clever Apps, coming synthetic intelligence (AI) and computing device getting to know (ML) Platform as a provider capabilities, or a sequence of Oracle Analytics Cloud enhancements, many of the more interesting bulletins from OOW17 will emerge over the subsequent three to 6 months.
here's a rundown on nine bulletins to comply with over the arrival months.Oracle self sufficient Database Cloud
profitable the cloud war is, of route, vital for Oracle. Oracle has 480,000-plus purchasers, and it's No. 1 product, fingers down, is Oracle Database. If there may be a cloud corresponding to the domino thought, or not it's that as cloud database decisions go, so go the leisure of a consumer's cloud selections. accordingly, Ellison's more advantageous-faster-more affordable efficiency and price claims have been on monitor everywhere OOW17. He also instructed attendees that with discounts, the database service will start at as little as $300 per thirty days -- although the 1-CPU to 1 terabyte-of-facts specification appeared anemic, to assert the least.
In CEO Mark Hurd's keynote they heard that best about 14 % of construction workloads at the moment are operating in public clouds, however given transforming into cloud momentum he estimated that 80 % of creation workloads could be within the cloud by 2025. The lion's share of trendy database market is Oracle's to lose, so there's massive power to keep away from valued clientele from even considering options like Amazon RedShift or Amazon Aurora. The (in accordance-to-Oracle) can charge and efficiency claims flashed far and wide OOW17 have been a "stick to Oracle" message to on-premises valued clientele now because the cloud.
evaluation: it be essential to admire that the Oracle self sustaining Database Cloud is barely that -- a cloud-based mostly carrier. Oracle Database 18c application, when it arrives, might not have inherent autonomous capabilities. To be self sufficient it needs to be delivered as a service by means of Oracle. The identical goes for the on-premises deployment alternative, which might not be self reliant until or not it's delivered "Cloud at customer" trend, with an Oracle Cloud machine deployed in consumer statistics centers however managed via Oracle.
Oracle has been talking for as a minimum a few years in regards to the effectivity it good points through automation in the cloud, however the independent Database Cloud is asserted to bring these advantages to whereas new level.
Time will tell just how lots further oomph the ML-pushed autonomous tuning and optimization gives you in comparison to like-for-like Oracle 12c database features.
As for those assessments results versus Amazon, the comparison of Oracle Database on Oracle Cloud vs. Oracle Database on Amazon is a shoe-in for the domestic team given Oracle's potential to run the database on Exadata, which isn't an option for Amazon and which pushes down query processing to the storage layer, thereby cutting back the weight earlier than the query even gets to the database engine. Oracle DB on Exadata vs Redshift on Amazon is extra of an apples-to-apples evaluation. right here's where i am eager to see impartial look at various consequences.
Assuming that ML-driven database automation offers merits -- and i'm sure there might be many -- the good information is that Oracle has a slew of alternative self sufficient database services in the pipeline, including self sustaining OLTP, anticipated subsequent June, and autonomous NoSQL and Graph database functions likely to demonstrate up by OOW18.Oracle Adaptive clever Apps
introduced quite quietly at OOW16, Oracle Adaptive clever Apps are a family unit of cloud-based, laptop-researching powered apps that are integrated with Oracle cloud applications. The business spent the first half of 2016 inserting the mandatory computing device discovering records pipelines in location. the usage of a combination of client-selected SaaS information and third-party enrichment facts from the Oracle records Cloud, Adaptive clever Apps will convey consumer-tailored recommendations so that it will increase selections, outcomes, and enterprise outcomes.
commonly available nowadays are next most desirable presents and proposals, a subset of Adaptive intelligent experiences coming to the consumer event (CX) Cloud. Following the roadmap laid out ultimate yr, Oracle announced Adaptive intelligent Apps for HR, ERP, and provide Chain management at OOW17, but no one become predicting unlock dates for this next wave of sensible apps.
evaluation: Oracle Adaptive intelligent Apps for CX are only getting out of the gate. Two shoppers on hand at OOW17, group Sportia of Sweden and Moleskin of Italy, each said their deployments were just getting all started. this is later than I anticipated in my 2016 report on Adaptive intelligent Apps, however Oracle at all times conservatively noted these apps would debut "in the next twelve months." Oracle's chief rival on this entrance is, of route, Salesforce Einstein, which saw loads of splashy announcements in 2017. i'm anxious to hear testimonials and deployment details from Salesforce Einstein shoppers on the upcoming Dreamforce experience in early November.
i could be surprised to see new Oracle Adaptive clever Apps outdoor of the CX area through the first quarter of 2018. I've realized to be cautious, so i'm guessing those HR, ERP and SCM smart apps are at least six months away and likely to debut in restricted liberate.Oracle massive statistics and AI Advances
Oracle is a few situations maintaining and in some instances catching up with state of the market on the massive information and artificial intelligence fronts. This summer Oracle introduced the Oracle large facts Cloud, which is a big data platform in accordance with Hadoop and Spark and carefully aligned with the ODPi general additionally used through Hortonworks, Microsoft, and IBM. Oracle's outdated offering, the massive statistics equipment in response to Cloudera, is still purchasable both on-premises or as a hosted service. but the future center of attention is evidently on Oracle massive data Cloud, which separates storage and compute selections and presents object storage as a low-budget choice for high-scale statistics lakes.
On the streaming front Oracle has added the Oracle event Hub, which is based on open-source Apache Kafka, for routing and processing. Oracle circulate Analytics is a rewrite of the enterprise's advanced adventure processing know-how that now runs on Apache Spark.
On synthetic intelligence, Oracle President Thomas Kurian introduced a new AI & ML PaaS so one can present GPU compute capability (both bare metal and VM) and numerous open source AI frameworks, together with Caffe, Keras, and Tensorflow. developers can be capable of work with lots of languages and notebooks.
evaluation: The Oracle big statistics Cloud is frequently purchasable instantly and puts Oracle greater consistent with the huge facts features available from AWS and Microsoft Azure. The adventure Hub and flow Analytics functions are additionally each commonly accessible these days and fill a gap that Oracle had versus the AWS Kinesis portfolio and the event Hubs and stream Analytics on Microsoft Azure.
As for the AI & ML PaaS, it changed into announced at OOW17, nevertheless it's now not yet purchasable (as per Oracle's site). based on conversations with executives and a lot of roadmap slides I've considered, i would predict the AI & ML circulate to be available inside three to six months. AWS, Google Cloud Platform, and Microsoft have all had GPU means available for some time. On mannequin construction and deployment, Microsoft ultimate month brought the beta preview of its subsequent-technology Azure computer getting to know portfolio that promises end-to-end model lifecycle administration. My take is that Oracle continues to be catching up on AI cloud features and capabilities.Oracle Analytics Cloud
right here's a different enviornment where Oracle is relocating rapidly to dwell consistent with the market. Evolving past the Oracle BI Cloud carrier and Oracle Visualization Cloud carrier announced three years in the past, the Oracle Analytics Cloud combines these two services and adds greater to create a more complete collection spanning records discovery, coaching, evaluation, and prediction. standard and enterprise edition subscriptions had been previously available. Oracle added a data Lake edition at OOW17 with subscriptions in response to CPUs instead of users, thereby encouraging extensive adoption.
Oracle introduced a series of desktop-studying and herbal-language-processing-based mostly enhancements to the Oracle Analytics Cloud at OOW17 and they'll be available over the subsequent three to 6 months. computerized facts Diagnostics is an "clarify" ability so that you can surface hidden drivers and book clients to information and analyses that they could no longer understand to look at. natural Language Insights will generate plain-text analyses of salient facets on a chart, helping uses to center of attention on what matters. more suitable "Ask" natural Language question capabilities will assist synonyms and abbreviations and dynamically appropriate and reinterpret queries as you type. Oracle is also engaged on more desirable data Catalog capabilities including search and navigation across metadata and social tags in addition to automatic thoughts on connected and primary datasets to promote discovery.
evaluation: Oracle Analytics Cloud looks to be on a course that's corresponding to Microsoft PowerBI and Azure ML. each providers have created comprehensive portfolios and are looking for to leverage the strengths of their respective clouds and data systems. The updates and enhancements announced at OOW17 typically fit state-of-the art capabilities which are already in the market. for instance, Oracle's "clarify" feature is comparable to Salesforce BeyondCore and a similar function embedded in Microsoft PowerBI. herbal Language Insights is equivalent to Narrative Sciences capabilities that Qlik and Tableau have each leveraged. State-of-the-art herbal language query is purchasable from varied providers, including Microsoft, IBM (Watson Analytics) and others.My usual tackle OOW17
As all the time, I got here faraway from OOW17 impressed with the aid of the sheer breadth of functions and applied sciences purchasable from the enterprise. Oracle may additionally now not all the time be the first to introduce state-of-the-artwork capabilities, but it surely's all the time the excellent competitor cited via rival database and information-platform companies. The business's sheer market presence in statistics structures and purposes places it in a very good position to also lead in analytics and coming sensible applications. the key query, as with so many companies nowadays, is how a success the enterprise can be in transitioning current valued clientele to the cloud.
The shock within the functions enviornment is barely how many all-new, greenfield valued clientele Oracle has gained with its SaaS purposes. CEO Mark Hurd insists that Oracle's core database business is outpacing the rest of the market, however that's a licensing and subscription measure whereas i'm seeing loads of open source increase that can not be measured by the identical math (although the utility is commercially supported).
Refreshingly, Oracle's large statistics, records integration, and analytics executives all seem to be hip to the open supply circulation. OOW17 saw a extensive include of open source utility, from Hadoop, Spark, Kafka, and Cassandra (the latter by way of a partnership with Datastax) to Python, R, and quite a few open supply deep gaining knowledge of frameworks. there'll always be that Oracle bravado about its most successful business choices, but I see an organization it's more and more moving per a altering world of records structures and applied sciences.related stories:
Native integration with the Oracle Cloud Platform offers market main efficiency
SANTA CLARA, CA--(Marketwired - Feb 6, 2017) - Qubole, the big information-as-a-provider enterprise and Silver level member of Oracle PartnerNetwork, nowadays introduced the typical availability of its Qubole information provider (QDS) on the Oracle Cloud. The Qubole facts carrier leverages high-performance bare metallic on Oracle Cloud to provide shoppers with quickly entry to analytics that e-book enterprise choices.
"Cloud is swiftly fitting the dominant deployment option for huge records since it gives unmatched agility, time to market and value efficiency," stated Ashish Thusoo, CEO of Qubole. "Oracle is atmosphere a new common for fee-performance within the cloud which makes it a perfect fit for Qubole."
Qubole facts service provides an business-grade turnkey statistics platform for all kinds of large records workloads, leveraging open source processing engines similar to Spark, Hadoop and Hive with auto-scaling capabilities constructed-in to optimize for performance and price in precise-time. combined with Oracle's quickly NVMe SSD storage and its flat, effective network structure, QDS can deliver a high-performance huge data answer, while lowering time to implementation.
The Qubole data carrier native integration with Oracle Cloud allows for clients to mix any information from Oracle databases, object storage records lakes, and purposes with records from third party sources for sooner insights. Leveraging the Oracle Cloud object storage structure for isolating compute and information lake operations, and Qubole's constructed-in connectors, shoppers gain flexibility, whereas holding expenses low.
"The Oracle Cloud Platform fundamentally re-imagines what a latest, excessive performance cloud may still be for modern massive statistics workloads," talked about Deepak Patil, vice president of Product management, Oracle Cloud Platform. "Working with Qubole means they will bring a powerful large information provider that helps their purchasers get the most from their information, and probably the most from their cloud."
beginning nowadays, clients can register for Qubole carrier within the Oracle Cloud industry and start running massive information workloads automatically.
Qubole and Oracle could be demoing QDS on the Oracle Cloud at Spark Summit East in Boston, Feb. 7-9, 2017 -- booth 109.
To gain knowledge of greater concerning the Qubole statistics carrier on Oracle Cloud Platform, please seek advice from:
About Qubole Qubole is a huge facts-as-a-carrier company that offers a quick, handy and reputable course to turn huge statistics into helpful enterprise insights. Qubole's cloud-based mostly platform addresses the challenges of processing huge volumes of structured and unstructured information. It uses clouds similar to Amazon net features, Google Compute Engine, Microsoft Azure and Oracle Cloud Platform to help agencies extract value out of their huge data whereas enabling their operations groups to be nimble and adaptive to their users' needs. Qubole achieves this via points comparable to auto-scaled huge facts clusters and built-in toolsets for facts analysts, builders and business clients. With greater than 500+ PB of data processed every month throughout its customer base, Qubole's platform makes firms agile with massive data.
About Oracle PartnerNetwork Oracle PartnerNetwork (OPN) is Oracle's associate program that gives companions with a differentiated competencies to improve, sell and enforce Oracle options. OPN offers materials to coach and help really good expertise of Oracle's products and solutions and has evolved to appreciate Oracle's becoming product portfolio, associate base and company probability. Key to the newest enhancements to OPN is the potential for companions to be identified and rewarded for their funding in Oracle Cloud. partners engaging with Oracle could be able to differentiate their Oracle Cloud capabilities and success with valued clientele in the course of the OPN Cloud software -- an creative application that complements latest OPN program ranges with tiers of cognizance and innovative merits for companions working with Oracle Cloud. To discover greater visit: http://www.oracle.com/companions.
logos Oracle is a registered trademark of Oracle and/or its affiliates.
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Mar 29, 2019 (Heraldkeeper via COMTEX) -- Learning Analytics Market Scenario:
Market Research Future (MRFR) postulates that the global learning analytics market is slated to register 26% CAGR during the forecast period (2017-2023). The proliferation of mobile devices is estimated to favor the market growth in the coming years.
Learning Analytics Market is referred to an analytical process which is performed to calculate the data gathered, interpret, and report the same information regarding learners and their way of methodology.
Such analytical tools enable the data to improve their learning and the environment in which the learning takes place. Learning analytics evolve from a branch of science like statistics, psychology, sociology, information science, machine learning, and data mining in order to interpret the gathered data during teaching, learning, education administration, and other services.
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The prominent players operating in the global learning analytics market are Cornerstone OnDemand (U.S.), Jenzabar (U.S.), IBM Corporation (U.S.), McGraw-Hill Education (U.S.), Blackboard Inc. (U.S.), SAP AG (Germany), Knewton (U.S.), Oracle Corporation (U.S.), Saba Software Inc. (U.S.), Microsoft (U.S.), D2L Corporation (Canada), Kronos (U.S.),and Pearson Inc. (U.K).
Market Potential and Pitfalls:
The market's growth is chiefly directed by the augmenting need to evolve competitive strategies in order to sustain the market coupled with the increased focus on personalized learning. The accelerating increase in mobile devices like laptops, smartphones, and mobile tablets are some of the major factors likely to offer a better prospect to the market in the coming years. Several business organizations can determine the completion of training courses quantitatively, but on the other hand, find it very difficult to measure the qualitative aspects like social learning and informal experiences, and their results. Leaning analytics help to clarify the intangible learning experiences. Companies also require to retain a talented workforce in order to develop innovative products so that they can sustain in the market.
Thus, business organizations across the globe lay stress on developing learning culture for their employees which helps to empower learning analytical tools in order to upsurge the innovation in the organization. Such factors are estimated to boost the learning analytics market throughout the globe. With the emergence of m-learning and e-learning, the market is likely to flourish.
On the contrary, the dearth of technical expertise in order to implement learning analytics coupled with the lack of data storage infrastructure are some of the top barriers considered to vitiate the market growth throughout the estimated period. Moreover, issues related to data protection, monitoring, data possession, and data controlling are estimated to impede the market growth in the coming years.
Learning Analytics Market Segmental Analysis:
The global learning analytics market has been segmented on the basis of services, tools, application, deployment, and end-user.
Geographically, the learning analytics market span across regions namely, Asia Pacific, North America, Europe, and the Rest-of-the-World (RoW).
Considering the global scenario, North America is considered to exhibit a significant growth rate over the appraisal period. The U.S. and Canada are considered to lead the region in the coming years. The growth is credited to the increasing implementation of analytics tools like social network analysis and visual data analysis.
The European region is predicted to register a substantial growth rate in learning analytics market owing to the presence of economies such as Germany, the U.K, and France as these countries are likely to implement analytics tools in the coming years.
The Asia Pacific region, on the other hand, is anticipated to expand at the fastest growth rate. Countries like Japan, India, and China are likely to lead the market in this region due to gradual growth in the adoption of business enterprises to implement learning analytics tools like content analysis and predictive analysis techniques.
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February 20, 2019: Indiana University Bloomington has received a mini-grant from the Association of American Universities to help the undergraduates improve their education in science, technology, engineering & mathematics disciplines. Indiana University's project named Advancing a Data-Informed STEM Culture expands upon the existing campus efforts in order to transform learning and teaching cultures in STEM departments by using big data and learning analytics.
Table of Contents
1 Executive Summary
2 Scope of the Report
2.1 Market Definition
2.2 Scope of the Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Business Function
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List of Tables
Table1 World Population by Major Regions (2017 To 2023)
Table2 Global Learning Analytics Market: By Region, 2017-2023
Table3 North America Learning Analytics Market: By Country, 2017-2023
List of Figures
Figure 1 Global Learning Analytics Market Segmentation
Figure 2 Forecast Methodology
Figure 3 Porter's Five Forces Analysis of Global Learning Analytics Market
About Market Research Future:
At Market Research Future (MRFR), they enable their customers to unravel the complexity of various industries through their Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
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Dublin, March 27, 2019 (GLOBE NEWSWIRE) -- The "United States Marketing Analytics Market - Growth, Trends, Forecast (2019 - 2024)" report has been added to ResearchAndMarkets.com's offering.
The US marketing analytics market was valued at USD 847.81 million and is anticipated to register a CAGR of 12.9% over the forecast period (2019-2024).
The benefits of analytics have become highly obvious for companies, as the competition for the retention of customers has become a necessity for the businesses. Companies these days use multiple channels to keep the customers informed and connected with them. Analytics solution allows them to keep track of the impact of the actions taken. This has resulted in the integration of these solutions with the existing ERP solution, which is beneficial in using the generated and available data.
Increasing need to utilize marketing budgets for an effective ROI is estimated to boost the market over the forecast period. Furthermore, the adoption of cloud technology and Big Data is also increasing the growth of the US marketing analytics market.
Over the course of 2017, technology giants, like Google, Adobe, Salesforce, and Oracle added more data sources to their ever-growing marketing capabilities. This particular trend is expected to continue, as businesses of all sizes work to lessen the complexity of data collection, cleansing, and usage across their organizations.
Scope of the Report
Marketing analytics software aid a company in tracking the data pertaining to traffic, leads, and sales. Implementation of marketing analytics helps the person of interest to compare between various mediums of operation, such as social media vs. blogging vs. email marketing. These analytics also aid in diagnosing the difficulties faced in a particular channel, and the tactical steps that need to be taken to improve the background.
Key Market Trends
E-mail Marketing Segment to Hold Major Market Share over the Forecast Period
E-mail marketing is one of the primary channels of marketing for most US businesses in their overall marketing strategy. Considering the number of e-mail users, about 233 million in the United States (as of 2017), the marketers find great opportunities to reach out to customers.
E-mail marketing is considered the third-most influential source of information for B2B customers after colleague recommendations and industry thought leaders (or influencers). While large businesses are using email marketing for increasing their brand loyalty, and are usually sales focused, small businesses are focusing on increasing their brand reach across the region.
Furthermore, the marketing analytics software enables businesses to create a customer segment based on different metrics, such as open rates and click-through rates. This is to personalize their marketing approach and also to evaluate their ROI, relative to the other forms of marketing, like display ads and search engine marketing.
According to Constant Contact Inc., a New York-based marketing company, e-mail marketing is the most popular form of marketing among the 1,005 US small business owners they surveyed. Among which, around 42% are using e-mail marketing for new potential customers and drive brand awareness.
The US marketing analytics market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with a prominent share in the market are focusing on expanding their customer base across foreign countries.
In July 2017, Teradata announced the acquisition of StackIQ, a prominent developer of cloud analytics software, which has managed the deployment of cloud and analytics software at millions of servers in data centers around the world. The acquisition is expected to strengthen the R&D capabilities of the company. Furthermore, in Jun 2018, Microsoft signed a MoU with New Sales Wales to trial a major data science project based on procurement analytics.
Key Topics Covered:
2 Research Methodology
3 Executive Summary
4 Market Dynamics4.1 Market Overview4.2 Industry Attractiveness Porter's Five Forces Analysis4.3 Industry Value Chain Analysis4.4 Introduction to Market Drivers and Restraints4.5 Market Drivers4.5.1 Increase in Social Media Channels4.5.2 Increasing Need to Utilize Marketing Budgets for an Effective ROI4.5.3 Adoption of Cloud Technology and Big Data4.6 Market Restraints4.6.1 High Cost of Implementation and System Integration Issues for Marketing Analytics Software4.6.2 Availability of Many Free Open Source Software4.7 Technology Snapshot
5 Market Segmentation5.1 By Deployment5.1.1 Cloud5.1.2 On-premise5.2 By Application5.2.1 Online Marketing5.2.2 E-mail Marketing5.2.3 Content Marketing5.2.4 Social Media Marketing5.2.5 Other Applications5.3 By End User5.3.1 Retail5.3.2 BFSI5.3.3 Education5.3.4 Healthcare5.3.5 Manufacturing5.3.6 Travel and Hospitality5.3.7 Other End Users
6 Competitive Landscape6.1 Company Profiles6.1.1 IBM Corporation6.1.2 Microsoft Corporation6.1.3 Oracle Corporation6.1.4 Salesforce.Com Inc.6.1.5 Accenture PLC6.1.6 Adobe Systems Incorporated6.1.7 SAS Institute Inc.6.1.8 Teradata Corporation6.1.9 Neustar, Inc.6.1.10 Pegasystems Inc.6.1.11 Tableau Software6.1.12 Google LLC
7 Investment Analysis
8 Market Opportunities and Future Trends
For more information about this report visit https://www.researchandmarkets.com/research/8m79pp/united_states?w=12
Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager email@example.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900 Related Topics: Advertising and Marketing, Data Analytics
Jan 3, 2017Craig S. Mullins
Data is at the heart of the modern business and many changes and innovations are impacting the database management systems that DBAs are tasked with managing. The world of data management in 2017 is more diverse, complex and challenging than it was just a few years ago.
The industry is changing, the way that DBAs work is changing, and database systems are changing. They all need to come to grips with the fact that the way they worked in the past is no longer the way they work with today’s modern database environment.
Let’s start their coverage by looking at some of the industry trends that are impacting IT and business and thereby contributing to DBMS and data management changes.
The first, and most obvious trend, is that they are saving more data than ever before. According to a recent study by IDC the digital universe will continue growing at 40 percent a year into the next decade. By 2020, it is estimated that the digital universe will grow to 44 zettabytes, or 44 trillion gigabytes.
What is behind this data growth? Organizations are moving more of their business online to take advantage of the immense popularity of smart device usage (smart phone, tablets, etc.) And more “things” are being connected to the Internet (Internet of Things, or IoT), which can produce data streams that are collected and tracked. The explosion of data on social media (e.g. Twitter, Facebook, etc.) that is being tracked for marketing and other purposes is also contributing to this vast uptick in the amount of data being created and stored.
Another trend contributing to the complexity of data management is the unfettered growth of unstructured data. Although structured data remains the bedrock of the information infrastructure in most organizations, unstructured data is growing in importance. The rise of unstructured data is often attributed to the growing amount of multimedia data being adopted by organizations as they store more audio, video, and images. But that is only part of the story. Text documents, in the form of business forms, letters, and documents, and most importantly, e-mail, greatly contribute to the growing importance of unstructured data.
And more unstructured data is being stored in operational and analytical databases than ever before. This trend will continue as there is more unstructured data in the world than structured. Analysts at IDC estimate that unstructured data accounts for as much as 90 percent of all digital information.
Adding together all of these factors to the increase of data required due to business growth and expansion. They are truly living in the Big Data era.
The ability to collect such large amounts of data has given rise to the Big Data industry trend, which is in itself a collection of trends. The essence of the Big Data movement is being able to derive meaning quickly from vast quantities of data – both structured and unstructured – in order to improve business decision making. So Big Data encompasses, embraces and collects together trends and capabilities spanning business intelligence, cloud computing, distributed data, NoSQL, Spark, Hadoop, sensors, streaming data, the Internet of Things and an ever-expanding array of networked devices.
The DBA, is still the technician responsible for ensuring the ongoing operational functionality and efficiency of an organization’s databases and the applications that access that data. But modern DBAs are relied upon to do far more than just stoke the fires to keep database systems performing. Most DBAs have years of IT experience and work on technologies related to database, too. This can span areas as diverse as application development, middleware implementation, transaction processing, business intelligence, and networking. So today’s DBA is not always just a DBA, and that means that the DBA is not always 100% devoted to the care and feeding of the database.
Today, though, DBAs are called upon to manage more than just one DBMS; and not just relational, at that. In this day-and-age of heterogeneity most DBAs are tasked with managing multiple DBMSes (DB2 and Oracle; or SQL Server and MongoDB, for example). When focus is diluted in this manner it becomes difficult for DBAs to be the DBMS-specific experts that developers and management expect them to be.
On top of that, fewer DBAs are being asked to manage more data. The Bureau of Labor Statistics projects the growth rate for DBAs as “faster than average” at 11% between the years of 2014 and 2024, but that is still less than 2% per year. And when they match that up against the 40 percent (or higher) annual growth rate for data, it is easy to see that organizations are not planning well if they hope to keep a handle on their burgeoning data stores.
Be sure to factor in the changing world of data management and all of these big data and DBA trends into your planning cycle to ensure that you will have the appropriate manpower and skills to manage your organization’s data needs now… and into the future.
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