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BAS-012 - IBM SPSS Modeler Data Analysis for Business Partners v2 - Dump Information

Vendor : IBM
Exam Code : BAS-012
Exam Name : IBM SPSS Modeler Data Analysis for Business Partners v2
Questions and Answers : 25 Q & A
Updated On : February 15, 2019
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BAS-012 Questions and Answers

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

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

Test Code : BAS-012
Test Name : IBM SPSS Modeler Data Analysis for Business Partners v2
Vendor Name : IBM
Q&A : 25 Real Questions

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IBM IBM SPSS Modeler Data

Predictive Analytics software market's visionary leaders illuminated by means of new document | killexams.com Real Questions and Pass4sure dumps

IBM tops the record of companies in the predictive analytics utility space in keeping with a quadrant these days released by using 360Quadrants, adopted carefully by way of Oracle and SAP SE. IBM’s SPSS Modeler changed into rated the most excellent in product first-class, reliability, and breadth and depth of providing. IBM SPSS Modeler also captured the excellent spot in criteria like geographic footprint and viability of business.

360Quadrants defines predictive analytics as a statistical and facts mining solution consisting of numerous algorithms and methodologies used for structured in addition to unstructured data to extract company insights. 

360Quadrants covers 50+ products in the predictive analytics space and areas the exact 31 of them in a quadrant counting on their nice, reliability, and business outcomes. These 31 products are categorized into Visionary Leaders, Dynamic Differentiators, rising groups, and Innovators.

360Quadrants acknowledges IBM Corp, SAS Institute, Inc., SAP SE, fair Issac enterprise (FICO), Tableau application, Inc., RapidMiner, Inc., Oracle Corp, and Angoss application Corp as Visionary Leaders; TIBCO utility, Inc., Microstrategy, Inc., Alteryx, Inc., suggestions Builder, Dataiku, KNIME.COM AG, and NTT records service provider, as Innovators; GoodData service provider, Microsoft service provider, Teradata business enterprise, Sisense, Inc., Predixion software, and Domino statistics Lab, Inc. as Dynamic Differentiators; and Exago, included, AgilOne, QlikTech foreign, and Kognitio Ltd. as rising players.

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

IBM's SPSS predictive analytics equipment include IBM SPSS Modeler and IBM SPSS records. SPSS Modeler provides records mining and text analysis software, while SPSS facts is an integrated household of items. each equipment enable users to construct predictive fashions and execute different analytics initiatives.

The IBM SPSS Modeler targets clients who have little or no programming knowledge. users are supplied with a drag-and-drop consumer interface, enabling them to construct predictive fashions and operate other records analytics. Modeler can practice distinct tactics and algorithms to help the person discover tips hidden in the facts. The device can additionally support in integrating and consolidating every kind of facts units from dispersed records sources across the firm.

The IBM SPSS records suite is an built-in set of items geared towards more professional records analysts. SPSS facts addresses the comprehensive analytical technique, from planning to statistics collection, evaluation, reporting and deployment.

IBM SPSS Modeler points

edition 18 provides right here elements:

  • greater than 30 base machine discovering algorithms.
  • Extensions that give persisted advancements to be used with open source products, equivalent to R and Python.
  • more suitable guide for several multithreaded analytical algorithms, together with Random timber, Tree-AS, Generalized Linear Engine, Linear-AS, Linear guide Vector machine and Two-Step-AS clustering.
  • The capability to run loads of Python and Spark machine gaining knowledge of, as well as other Python analytics libraries natively in Modeler devoid of requiring using the Analytic Server, as become required in the old edition.
  • SPSS Modeler bundles are deployed on premises, and SPSS Modeler Gold is attainable as a cloud providing. The customer front end of SPSS Modeler runs under home windows and macOS, while the server element runs on Unix, Linux and home windows.

    IBM SPSS Modeler provides right here variations:

  • SPSS Modeler very own: A single-person computing device product.
  • SPSS Modeler knowledgeable: A desktop product that works with IBM SPSS Analytic Server, offering enhanced scalability and performance and enabling applications to be used throughout an organization.
  • SPSS Modeler top class: This edition comprises superior algorithms and capabilities, equivalent to textual content analytics, entity analytics and social community evaluation, that increase model accuracy with unstructured information.
  • SPSS Modeler Gold: This edition provides analytical resolution management, collaboration and deployment capabilities. SPSS Modeler Gold is additionally purchasable as a cloud providing.
  • IBM SPSS information points

    SPSS information edition 24 comprises right here new points:

  • The capacity to access greater than a hundred extensions, enabling users to take advantage of free libraries written in R, Python and SPSS syntax.
  • The IBM SPSS Extension Hub to browse, down load, replace, get rid of and customarily manage extensions.
  • a tremendous improve to the customized Dialog Builder, enabling clients to more with ease build and deploy their own extensions. Enhancements include new controls and new houses for current controls and a number of other advancements to the person interface.
  • improvements that enable users to extra effortlessly and right away import and export data into SPPS information.
  • improvements to the customized Tables module, including new statistical performance and customer-requested points.
  • IBM SPSS statistics presents the following three versions (every with extra modules):

  • SPSS records commonplace tools deliver superior statistical techniques that support linear and nonlinear statistical fashions, as well as predictive simulation modeling, which debts for uncertain inputs, geospatial analytics and customised tables.
  • SPSS statistics expert equipment aid data training, lacking values and information validity, determination timber, and forecasting.
  • SPSS facts top class adds superior analytical suggestions, together with structural equation modeling, in-depth sampling assessment and testing. This bundle also includes strategies that target direct advertising and high-end charts and graphs.
  • Pricing for the SPSS Modeler and SPSS data predictive analytics tools vary reckoning on the bundle alternate options, the number of clients and the license length. SPSS facts is now available as a subscription choice or a perpetual license. IBM offers free trials of each IBM SPSS Modeler and IBM SPSS data.

    next Steps

    Why the term unstructured facts is a misnomer

    How large data is changing statistics modeling concepts

    massive facts techniques pose new challenges to statistics governance

    related resources View extra

    eQHealth solutions companions with IBM to boost visual information Science Capabilities | killexams.com Real Questions and Pass4sure dumps

    Unstructured facts, textual content analytics, and desktop learning without coding will now be integrated into eQHealth inhabitants health Analytics

    BATON ROUGE, La. --(business WIRE)

    eQHealth options, a pacesetter in population fitness management and medical administration solutions, recently became an IBM enterprise associate and utilizer of the IBM Embedded Analytics solution. The purpose of the contract is to toughen eQHealth’s analytics capabilities in digesting and extracting which means and value from structured and unstructured text healthcare data from care coordinator’s fitness risk assessments, clinician notes, and different types of unstructured information. The IBM facts Science Platform lets eQHealth leverage SPSS Modeler for predictive modeling, computing device getting to know, statistical evaluation, text analytics and choice optimization. this can allow eQHealth to impulsively development from facts exploration to insight and construction. The IBM SPSS Modeler additionally offers handy deployment for desktop discovering. additional, SPSS Modeler will raise existing predictive modeling and chance stratification capabilities.

    eQHealth has employed data analytics and statistics to provide insights and choice support for scientific information and medical management procedure advancements for their customers and developed the primary edition of the business’s proprietary Peer Utilization review application (PURs) greater than 25 years in the past. adding IBM SPSS Modeler is anticipated to supply an further layer of functionality to latest competences.

    “IBM SPSS Modeler is dissimilar because of its capability to help many information kinds and sources, provide quite a number algorithmic strategies and laptop getting to know ideas, all without the want for complex coding easing the task of integration and speed to solution deployment. We seem ahead to an extended and productive relationship with IBM and the SPSS Modeler group,” stated Mayur Yermaneni, Chief method and boom Officer, eQHealth solutions.

    About eQHealth options

    headquartered in 1986, eQHealth solutions is a population fitness management and know-how options business that touches millions of lives annually right through the nation. Our high-tech and excessive-contact fashions consist of ingenious expertise options, best care coordination features, and focus on amazing consequences and optimization of provider and payer networks. eQHealth serves lots of entities together with federal, state and business purchasers. www.eqhs.org

    eQHealth SolutionsKatie Varnado, 225-248-7069Channel advertising and marketing Managereqhealth@eqhs.org

    Copyright business Wire 2019

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    IBM SPSS Modeler Data Analysis for Business Partners v2

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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. We 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. Our 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

    Information contained on this page is provided by an independent third-party content provider. Frankly and this Site make no warranties or representations in connection therewith. If you are affiliated with this page and have questions or removal requests please contact pressreleases@franklyinc.com


    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 our 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 our ability to successfully manage all aspects of population health will be of vital importance in the near future. Not only will we be able to utilize predictive data from CPSI in this effort, but we will also draw on TruBridge’s Consulting Services expertise in helping us identify risks as well as opportunities.”

    “We are very pleased our 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 our data in concert with that of other hospitals to generate better quality and more actionable information than we could depending solely on our own data. We see the use of predictive analytics as a strategic necessity for our 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 we also believe rural and community hospitals are disproportionately affected by these factors. We are confident our 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 our 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 our 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 our 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 we 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 our 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 our systems resulting in customer claims against us and harm to our 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 our customers; interruptions in our power supply and/or telecommunications capabilities and other risk factors described from time to time in our public releases and reports filed with the Securities and Exchange Commission, including, but not limited to, our most recent Annual Report on Form 10-K. We also caution investors that the forward-looking information described herein represents our outlook only as of this date, and we 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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