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C2020-012 IBM SPSS Modeler Data Analysis for Business Partners v2

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C2020-012 exam Dumps Source : IBM SPSS Modeler Data Analysis for Business Partners v2

Test Code : C2020-012
Test Name : IBM SPSS Modeler Data Analysis for Business Partners v2
Vendor Name : IBM
: 25 Real Questions

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IBM IBM SPSS Modeler Data

Predictive Analytics software market's visionary leaders illuminated with the aid of new report | killexams.com Real Questions and Pass4sure dumps

IBM tops the checklist of vendors in the predictive analytics software area in keeping with a quadrant these days released by way of 360Quadrants, adopted closely via Oracle and SAP SE. IBM’s SPSS Modeler become rated the ultimate in product excellent, reliability, and breadth and depth of providing. IBM SPSS Modeler also captured the correct spot in criteria like geographic footprint and viability of enterprise.

360Quadrants defines predictive analytics as a statistical and facts mining answer such as a lot of algorithms and methodologies used for structured as well as unstructured records to extract enterprise insights. 

360Quadrants covers 50+ items in the predictive analytics space and areas the appropriate 31 of them in a quadrant depending on their pleasant, reliability, and company outcomes. These 31 items are categorised into Visionary Leaders, Dynamic Differentiators, rising businesses, and Innovators.

360Quadrants recognizes IBM Corp, SAS Institute, Inc., SAP SE, fair Issac service provider (FICO), Tableau software, Inc., RapidMiner, Inc., Oracle Corp, and Angoss software Corp as Visionary Leaders; TIBCO application, Inc., Microstrategy, Inc., Alteryx, Inc., tips Builder, Dataiku, KNIME.COM AG, and NTT statistics organization, as Innovators; GoodData organisation, Microsoft employer, Teradata corporation, Sisense, Inc., Predixion application, and Domino information Lab, Inc. as Dynamic Differentiators; and Exago, incorporated, AgilOne, QlikTech overseas, and Kognitio Ltd. as rising players.

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a glance at the IBM SPSS Modeler and IBM SPSS facts analytics equipment | killexams.com Real Questions and Pass4sure dumps

IBM's SPSS predictive analytics tools encompass IBM SPSS Modeler and IBM SPSS facts. SPSS Modeler offers records mining and text analysis application, whereas SPSS information is an built-in family of items. each equipment enable users to construct predictive models and execute different analytics projects.

The IBM SPSS Modeler aims clients who have little or no programming knowledge. users are offered with a drag-and-drop user interface, enabling them to build predictive fashions and perform other records analytics. Modeler can practice distinct techniques and algorithms to support the consumer find assistance hidden within the information. The device can also aid in integrating and consolidating every kind of information units from dispersed data sources throughout the company.

The IBM SPSS statistics suite is an built-in set of products geared towards greater skilled records analysts. SPSS facts addresses the comprehensive analytical process, from planning to facts collection, analysis, reporting and deployment.

IBM SPSS Modeler facets

edition 18 gives here facets:

  • greater than 30 base desktop gaining knowledge of algorithms.
  • Extensions that give continued improvements to be used with open source items, similar to R and Python.
  • improved help for a number of multithreaded analytical algorithms, together with Random timber, Tree-AS, Generalized Linear Engine, Linear-AS, Linear aid Vector computer and Two-Step-AS clustering.
  • The ability to run numerous Python and Spark laptop learning, in addition to other Python analytics libraries natively in Modeler devoid of requiring the use of the Analytic Server, as become required within the old version.
  • SPSS Modeler bundles are deployed on premises, and SPSS Modeler Gold is accessible as a cloud offering. The client front end of SPSS Modeler runs below home windows and macOS, whereas the server component runs on Unix, Linux and home windows.

    IBM SPSS Modeler gives here editions:

  • SPSS Modeler own: A single-person computer product.
  • SPSS Modeler professional: A computing device product that works with IBM SPSS Analytic Server, offering enhanced scalability and efficiency and enabling functions for use throughout a firm.
  • SPSS Modeler top rate: This version comprises superior algorithms and capabilities, equivalent to text analytics, entity analytics and social community evaluation, that enhance mannequin accuracy with unstructured information.
  • SPSS Modeler Gold: This version gives analytical resolution management, collaboration and deployment capabilities. SPSS Modeler Gold is additionally attainable as a cloud providing.
  • IBM SPSS records points

    SPSS information edition 24 comprises here new facets:

  • The means to entry more than one hundred extensions, enabling users to take abilities of free libraries written in R, Python and SPSS syntax.
  • The IBM SPSS Extension Hub to browse, down load, replace, eliminate and generally manipulate extensions.
  • an incredible upgrade to the custom Dialog Builder, enabling users to more with no trouble construct and install their own extensions. Enhancements include new controls and new houses for existing controls and several different improvements to the consumer interface.
  • improvements that permit clients to more with no trouble and directly import and export data into SPPS facts.
  • advancements to the customized Tables module, including new statistical functionality and consumer-requested aspects.
  • IBM SPSS statistics offers here three variations (each with additional modules):

  • SPSS information general tools provide advanced statistical strategies that assist linear and nonlinear statistical models, as well as predictive simulation modeling, which money owed for unclear inputs, geospatial analytics and customised tables.
  • SPSS records knowledgeable tools support statistics instruction, missing values and information validity, decision trees, and forecasting.
  • SPSS facts premium adds superior analytical thoughts, together with structural equation modeling, in-depth sampling assessment and testing. This bundle additionally comprises processes that goal direct marketing and high-conclusion charts and graphs.
  • Pricing for the SPSS Modeler and SPSS information predictive analytics tools differ reckoning on the bundle alternatives, the number of users and the license duration. SPSS records is now obtainable as a subscription option or a perpetual license. IBM presents free trials of each IBM SPSS Modeler and IBM SPSS facts.

    subsequent Steps

    Why the term unstructured statistics is a misnomer

    How massive records is changing information modeling strategies

    massive facts programs pose new challenges to facts governance

    linked supplies View more

    IBM Watson Studio is Coming to Your computing device | killexams.com Real Questions and Pass4sure dumps

    example of a Modeler stream working on Watson Studio laptop

    IBM Watson Studio is a very powerful facts science providing. in case you’re not widespread, Watson Studio is an built-in ambiance designed to make it effortless to boost, coach, and manipulate fashions. It contains a big choice of equipment used for every little thing from statistics prep and mix to photograph consciousness. And now Watson Studio is on its option to your home windows or Mac computer laptop.

    Overview of Watson Studio

    Watson Studio contains plenty of equipment all inside one integrated environment. probably the most typical equipment of Watson Studio are:

  • SPSS Modeler for statistics prep, mix, and modeling without coding
  • statistics Refinery, a spreadsheet trend tool, that permits speedy, self-service information practise
  • Python, R, and Scala Jupyter Notebooks to create and share files that contain are living code, equations, visualizations, and explanatory textual content
  • Neural network Modeler for designing TensorFlow, Keras, PyTorch and Caffe structures with out coding
  • Interactive Dashboards to deliver sharable live studies so the conclusion clients can find their own insights
  • accessible Deployment options

    Watson Studio will quickly be purchasable as three deployment alternate options:

  • Watson Studio on the IBM Cloud is the easiest way to get begun. It presents three tiers from a free starter tier with pay-as-you-go compute the entire strategy to an commercial enterprise edition.
  • Watson Studio local is their in the back of-the-firewall solution featuring a comfy way to add Watson Studio capabilities to your commercial enterprise. comprises buy alternate options for a handful of clients or the total company.
  • And coming soon: Watson Studio computing device
  • Introducing Watson Studio desktop

    Watson Studio laptop is their new third deployment option in the Watson Studio family unit. It takes essentially the most generic parts of what's obtainable within Watson Studio on the cloud and ports it to your home windows or Mac computing device for offline use, for analysis of records data you don’t want to add, and for snappy performance. All with a quick and easy laptop installation.

    Watson Studio on the laptop will scale from someone consumer the entire way up to a big group, and may be a great addition to the Watson Studio family unit together with their cloud and native flavors.

    The initial leading aspects of Watson Studio desktop should be a SPSS Modeler canvas along with the statistics refinery spreadsheet editor. this may consist of backwards compatibility for SPSS Modeler streams.

    merits of Watson Studio computing device
  • It’s fast, primarily for native data. increase individual productivity the usage of a locally installed client.
  • It gives offline use. want to build a mannequin on a airplane without WiFi? Watson Studio desktop will work with out an online connection for weeks at a time.
  • Adhere to safety and governance mandates together with your facts. Watson Studio laptop enables all of your facts to stay to your computer.
  • limitless modeling without overages. the usage of Watson Studio computing device, that you would be able to improve fashions without any incremental charge. This permits you to build models iteratively in your computing device, then circulation it to Watson Studio on the Cloud to install.
  • It’s one Watson Studio, so no re-getting to know required. With the identical designs as the cloud and native versions, switching between deployment alternate options is seamless without a exciting practising.
  • And similar to the rest of Watson Studio, anyone — coders or non-coders — may be in a position to put together, blend, discover, and mannequin their data in precisely minutes.
  • Watson Studio computer’s potent graphing expertiseJoin the Beta

    The Beta for Watson Studio is starting now with two tools already ported to the computing device: a refreshed edition of SPSS Modeler & data Refinery. it is going to additionally encompass tasks to prepare your work, facts assets firm, and a effortless investigate for updates feature.

    be part of the beta to deliver feedback on how you like these tools, and advocate which different tools they carry to the desktop. The Beta is a part of the IBM SPSS Modeler Subscription Trial, so once you register for that you simply’ll have access to each downloads.

    After you register, seek the “IBM SPSS Modeler Subscription Trial” card, click on down load, then you definitely’ll see the Watson Studio computer Beta downloads on the correct hand aspect of the web page.

    be a part of the discussion on the beta neighborhood

    After registering for the beta, join within the discussion on the Watson Studio laptop beta neighborhood. right here which you could ask questions in regards to the beta, provide suggestions for future features, get discussion board assist, and take part in positive surveys to affect product path. join the forum right here through logging in with your IBMid.

    wait for future bulletins here about this interesting addition for the Watson Studio family unit.

    Watson Studio computer assignment organizer

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    eQHealth Solutions Partners with IBM to Enhance Visual Data Science Capabilities | killexams.com real questions and Pass4sure dumps

    Unstructured data, text analytics, and machine learning without coding will now be integrated into eQHealth Population Health Analytics

    BATON ROUGE, La. --(BUSINESS WIRE)

    eQHealth Solutions, a leader in population health management and medical management solutions, recently became an IBM Business Partner and utilizer of the IBM Embedded Analytics Solution. The goal of the agreement is to strengthen eQHealth’s analytics capabilities in digesting and extracting meaning and value from structured and unstructured text healthcare data from care coordinator’s health risk assessments, clinician notes, and other forms of unstructured data. The IBM Data Science Platform lets eQHealth leverage SPSS Modeler for predictive modeling, machine learning, statistical analysis, text analytics and decision optimization. This will enable eQHealth to rapidly progress from data exploration to insight and production. The IBM SPSS Modeler also offers easy deployment for machine learning. Further, SPSS Modeler will enhance current predictive modeling and risk stratification capabilities.

    eQHealth has employed data analytics and statistics to provide insights and decision support for clinical guidance and medical management process improvements for their clients and developed the first edition of the company’s proprietary Peer Utilization Review software (PURs) more than 25 years ago. Adding IBM SPSS Modeler is expected to provide an additional layer of functionality to existing competences.

    “IBM SPSS Modeler is distinctive because of its ability to support many data types and sources, provide a range of algorithmic methods and machine learning techniques, all without the need for complex coding easing the task of integration and speed to solution deployment. They look forward to a long and productive relationship with IBM and the SPSS Modeler team,” said Mayur Yermaneni, Chief Strategy and Growth Officer, eQHealth Solutions.

    About eQHealth Solutions

    Founded in 1986, eQHealth Solutions is a population health management and technology solutions company that touches millions of lives annually throughout the nation. Their high-tech and high-touch models include innovative technology solutions, quality care coordination services, and focus on high-quality outcomes and optimization of provider and payer networks. eQHealth serves a variety of entities including federal, state and commercial clients. www.eqhs.org

    eQHealth SolutionsKatie Varnado, 225-248-7069Channel Marketing Managereqhealth@eqhs.org

    Copyright Business Wire 2019

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    A Pure Play On Self-Service Big Data Prep And Analytics: Wait For Smarter Valuation Entry Point | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!AYX data by YCharts Business value derived from big data and predictive ... Dataiku’s end-to-end data science platform; IBM’s (NYSE:IBM) SPSS modeler and data science experience (DSX); Microsoft SQL S...

    CPSI and TruBridge Collaborate with IBM to Deliver Predictive Analytics at the Point of Patient Care | killexams.com real questions and Pass4sure dumps

    MOBILE, Ala.--(BUSINESS WIRE)--CPSI (NASDAQ: CPSI), a leading provider of health information systems and services, and its wholly owned subsidiary, TruBridge, today announced that they are leveraging IBM technology to develop and deliver predictive analytics to rural and community hospitals.

    As part of the collaboration, the companies will focus on an initial ten hospital case study examining readmission risk. Using IBM’s SPSS Modeler, data aggregated from the participating hospitals will be analyzed to provide predictive analysis of readmission risk factors associated with a patient population. By identifying patients with a higher probability for readmission, caregivers can proactively address risk factors associated with those patients thereby reducing the likelihood of a subsequent readmission.

    “The readmission risk analysis project is an important proof of concept, but only a first step,” said Boyd Douglas, President and Chief Executive Officer of CPSI. “Our collaboration with IBM gives us the tools necessary to leverage big data aggregated and curated from across their client base. The opportunities to manage population health and ultimately improve patient outcomes based on the use of predictive analytics are enormous.”

    Predictive analytics can also be applied to other areas of hospital operations such as revenue cycle management to identify opportunities and develop best practices.

    “White County Medical Center is excited to be participating in CPSI’s initial big data project,” said Stuart Hill, Chief Financial Officer of White County Medical Center, a 245 bed facility in Searcy, AR. “We believe their ability to successfully manage all aspects of population health will be of vital importance in the near future. Not only will they be able to utilize predictive data from CPSI in this effort, but they will also draw on TruBridge’s Consulting Services expertise in helping us identify risks as well as opportunities.”

    “We are very pleased their healthcare IT partner is making this investment in predictive analytics and pursuing big data technologies,” said Shawn Kammerud, Chief Information Officer of Osceola Medical Center, a 25 bed critical access hospital in Osceola, WI. “This venture will provide us with a great opportunity to use their data in concert with that of other hospitals to generate better quality and more actionable information than they could depending solely on their own data. They see the use of predictive analytics as a strategic necessity for their hospital going forward.”

    “We understand that providing quality care in today’s world of cost containment and diminishing reimbursements is a huge challenge for all hospitals,” said Douglas. “However they also believe rural and community hospitals are disproportionately affected by these factors. They are confident their ability to deliver predictive analytics drawn from big data that is specific to rural and community hospitals can provide them tools that will have a positive impact on ensuring the long term sustainability of rural and community healthcare.”

    “Big data and analytics are transforming industries and professions,” said Alistair Rennie, General Manager, Business Analytics, IBM. “We’re pleased to be working with CPSI to apply predictive analytics to help community hospitals identify and address the many operational and financial opportunities to improve healthcare.”

    About CPSI

    CPSI is a leading provider of healthcare information solutions for community hospitals with over 650 client hospitals in 45 states and the District of Columbia. Founded in 1979, the Company is a single-source vendor providing comprehensive software and hardware products, complemented by complete installation services and extensive support. Its fully integrated, enterprise-wide system automates clinical and financial data management in each of the primary functional areas of a hospital. CPSI’s staff of over 1,400 technical, healthcare, medical and business professionals provides system implementation and continuing support services as part of a comprehensive program designed to respond to clients’ information needs in a constantly changing healthcare environment. For more information, visit www.cpsinet.com.

    About TruBridge, LLC

    TruBridge has its roots in CPSI, a leading provider of electronic medical record (EMR) systems. Today, it is a separate company focused exclusively on providing business office, consulting and managed IT services. TruBridge brings 30 years of expertise in delivering effective solutions created for the unique challenges faced by rural and community healthcare organizations. For more information, visit www.trubridge.net.

    Forward-Looking Statements

    Any statements contained in this press release which are not historical facts are forward-looking statements within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified generally by the use of forward-looking terminology and words such as “expects,” “anticipates,” “estimates,” “believes,” “predicts,” “intends,” “plans,” “potential,” “may,” “continue,” “should,” “will” and words of comparable meaning. Without limiting the generality of the preceding statement, forward-looking statements include all statements other than those made solely with respect to historical fact, including statements with respect to CPSI’s expectations relating to its collaboration with IBM. Numerous risks, uncertainties and other factors may cause actual results to differ materially from those expressed in any forward-looking statements. While it is impossible to identify all such factors, factors which could cause actual results or events to differ materially from those anticipated include, but are not limited to, the effectiveness of CPSI’s strategy of successfully leveraging IBM technology to develop and deliver predictive analytics to rural and community hospitals; overall business and economic conditions affecting the healthcare industry; government regulation of the healthcare and health insurance industries; government regulation of their products and customers, including changes in healthcare policy affecting Medicare and Medicaid reimbursement rates and qualifying technological standards; the potential effects of the federal healthcare reform legislation enacted in 2010, and implementing regulations, on the businesses of their hospital customers; the funding uncertainties associated with and potential expenditures required by the American Recovery and Reinvestment Act of 2009 in connection with the adoption of electronic health records; saturation of their target market and hospital consolidations; changes in customer purchasing priorities, capital expenditures and demand for information technology systems; competition with companies that have greater financial, technical and marketing resources than they have; failure to develop new technology and products in response to market demands; fluctuations in quarterly financial performance due to, among other factors, timing of customer installations; failure of their products to function properly resulting in claims for medical losses; changes in accounting principles generally accepted in the United States; breaches of security and viruses in their systems resulting in customer claims against us and harm to their reputation; potential intellectual property claims against us; general economic conditions, including changes in the financial and credit markets that may affect the availability and cost of credit to us or their customers; interruptions in their power supply and/or telecommunications capabilities and other risk factors described from time to time in their public releases and reports filed with the Securities and Exchange Commission, including, but not limited to, their most recent Annual Report on Form 10-K. They also caution investors that the forward-looking information described herein represents their outlook only as of this date, and they undertake no obligation to update or revise any forward-looking information to reflect events or developments after the date of this press release.



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