PPT-Finding Hidden Intelligence with Predictive Analysis of Data Mining

Rafal Lukawiecki Strategic Consultant Project Botticelli Ltd rafalprojectbotticellicom Objectives Show use of Microsoft SQL Server 2008 Analysis Services Data Mining Tantalise you with the power of DM. Predictive Modeling. . . encompasses a variety of techniques to analyze current and historical facts to make predictions about future events.. Predictive models . exploit patterns . found in historical and transactional data . Neil . Versel.  . ,. Information Week, November 15, 2011. Shipi. . Kankane. Prashanth. . Nakirekommula. Applying analytics and risk- management capabilities to health insurance through LexisNexis data platforms. . December 2013, Jakub Miarka, University of Leeds. RapidMiner. Formerly called . YALE. (Yet Another Language Environment). Environment for . machine learning, data and text mining, predictive and business analytics. Techniques . for Effective Prevention Programs. Raj Nagaraj, Ph.D. . Chief Technology Officer. Deccan International. OUTLINE. About Deccan. CRR And Predictive Modelling . Techniques. Predictive Modelling And Other Techniques (PM) . Federal Big Data Working Group Meetup. November 3, 2014. Dave Vennergrund. Director Predictive Analytics and Data Science. David.Vennergrund@salienfed.com. 571 766 2757. Salient Data Analytics Center of Excellence. 2. Homework Review. 3. 4. Project Leadership: Chapter 3. Becoming A Mover and Shaker: . Working . With Decision Makers . for . Change. 5. Blank Slide (Hidden). Purpose. To learn about:. . Your elected officials. Agenda. Data Mining enabling Predictive Analysis. The Value of Predictive Analysis. SQL Server 2008 Predictive Analysis. Complete Predictive Analysis. Integrated Predictive Analysis. Extensible Predictive Analysis. CHAPTER OUTLINE. 12.1. Managers and Decision Making. 12.2. What Is Business Intelligence?. 12.3. Business Intelligence Applications for Data Analysis. 12.4. Business Intelligence Applications for Presenting Results. refers to all of the applications and technologies used to gather, provide access to, and analyze data and information to support decision-making efforts. Putting together all of the pieces of the puzzle. Techniques . for Effective Prevention Programs. Raj Nagaraj, Ph.D. . Chief Technology Officer. Deccan International. OUTLINE. About Deccan. CRR And Predictive Modelling . Techniques. Predictive Modelling And Other Techniques (PM) . Cognitive & Non Cog Abilities. Personality. Criteria. Chap 3 Developing Predictive Hypotheses. 1. Conceptual & Operational Definitions. Predictors & Criteria. F. Kerlinger’s definitions. Unit-1. By: Prof. K.V. PAVAN KUMAR, . Methodist College of . Engg. & Tech.,. Abids. , Hyd. . 1.. . Business Intelligence - Definition. : . . The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information. . Coping with uncertain futures. Dr Christophe Lazaro (. UCLouvain. ). Dr Marco Rizzi (UWA Law School). Introduction – technological context. development of artificial intelligence (AI) and digitization of life . By . Shepherd Fungura, . BCom. , FASSA, FIA. President of Actuarial Society of Zimbabwe . Group Chief Risk Officer at Old Mutual Zimbabwe. @. Insurance Institute of Zimbabwe Winter School – Monday 22 August 2016.