Decision Support Optimization through Predictive Analytics - Leuven Statistical Day 2010

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Decision Support Optimization through Predictive Analytics - Leuven Statistical Day 2010"

Transcription

1 Decision Support Optimization through Predictive Analytics - Leuven Statistical Day 2010 Ernst van Waning Senior Sales Engineer May 28, 2010

2 Agenda SPSS, an IBM Company SPSS Statistics User-driven product requirements and Market trends From Statistics to Data Mining From hypothesis testing to relevance research and segmentation for better business decisions Discussion 2

3 SPSS, an IBM Company

4 Introducing SPSS A leading provider of predictive analytic software, services and solutions Software data collection, text and data mining, advanced statistical analysis and deployment technologies Services implementation, training, consulting, and customization Solutions combine software and services to deliver highvalue line-of-business solutions; used for optimizing marketing campaigns, call center effectiveness, identification of fraudulent activity and more Enables decision makers to predict future events and proactively act upon that insight to drive better business outcomes 4

5 IBM Acquires SPSS

6 SPSS Statistics

7 SPSS Statistics today SPSS Statistics has the most customers 250,000 customers Over 95% of the Fortune 1000 In Every Industry 10 of the top 10 global commercial banks 8 of the top 10 telecommunication services companies 21 of the top 25 retailers worldwide 24 of the top 25 market research firms And Throughout the Public Sector All major national governments Every branch of the U.S. Military and all U.S. State Governments #1 statistical software on universities 7

8 SPSS Statistics: Key Benefits Increase analyst productivity The most comprehensive workbench Presentation ready output Grows with your needs Increase functionality with add on modules, scripting and programmability Scales to your requirements Flexible deployment options maximize resource utilization 8

9 Customer Requirements Functional Refinements: Ability to Handle More Data, Faster Open, Extendable and Customized Integration (Business Processes): Managing, Securing and Deploying Statistical Assets Simple to Use: Get the Power of Statistical Analysis Into the Hands of Non-statisticians More Tools for New Business Problems Recent Enhancements: Improved performance and scalability Bootstrapping Automated Data Prep Custom Dialogue Builder Standard ODBC, R and Python interfaces Office Integration & Output Visualization easy RFM/Direct Marketing Advanced Model Viewers Algorithmic enhancements

10 Improved Statistics Reporting 2008 SPSS Inc.

11 Enhanced Model Viewers Interactive visualizations for Two-Step Cluster Viewers for Automated Data Preparation results Viewers for Nonparametric Statistics 11

12 12

13 From Statistics to Data Mining

14 New ways of working to optimize business decisions and actions New Approach Traditional Approach Predict and act Volume Lack of Insight Velocity Inefficient Access Sense and respond Instinct and intuition Skilled analytics experts Real-time, fact-driven Everyone Inability to Predict Variety Back office Automated Point of impact Optimized 14

15 Enabling the Predictive Analytics Process Capture & Connect Analyse & Predict Deliver & Act Data Collection delivers an accurate view of customer attitudes and opinions Predictive capabilities bring repeatability to ongoing decision making, and drive confidence in your results and decisions Unique deployment technologies and methodologies maximize the impact of analytics in your operation 15

16 From Statistics to Data Mining SPSS Statistics allows you to verify hypotheses With scientific rigor For scientific purposes Data Mining focuses on investigation and relevance analysis Exploratory purpose Get insight in what your data tell you! SPSS Modeler (formerly called Clementine) 16

17 IBM SPSS Modeler 17

18 Modeler Differentiating Capabilities Easy to Learn / Intuitive Visual Interface Visual approach - no programming Comprehensive range of data mining functions Flexible deployment options Powerful Automated modeling Automated data preparation Multi model creation & evaluation Integrated analysis of text, web, & survey data Open & Scalable architecture No need for specialized databases Data mining within standard databases with SQL pushback (for highest performance) and support for in-database mining Maximized use of infrastructure with multithreading, clustering and use of embedded algorithms 18

19 Modeler Operation Operations on data - nodes Connections carry data between nodes Stream diagrams Executable Visual programming 19

20 Visualisation Initial exploration of data (Methodological point) Discovery of partial patterns for insight to guide pre-processing Exploring the results of modelling Graphs are interactive 20

21 Predictive Models: Families of Algorithms Classification Segmentation Association Data Reduction Predict or Forecast Find Groups Find Links Less Attributes Classification, Regression, Time Series Clusters Association Discovery, Sequence Factors Target (what to predict) No Target Many Targets 21

22 The Datamining Process (CRISP-DM) 22

23 IBM SPSS Text Analytics Uses natural language processing heuristic rules and statistical techniques to reveal conceptual meaning in text Extracts concepts from text and categorizes them Makes unstructured qualitative data more quantifiable, enabling the discovery of key insights from sources such as survey responses, documents, s, call center notes, web pages, blogs, forums and more Brings repeatability to ongoing decision making 23

24 Questions?

Combining the Power of Predictive Analytics with IBM Cognos Business Intelligence

Combining the Power of Predictive Analytics with IBM Cognos Business Intelligence Combining the Power of Predictive Analytics with IBM Cognos Business Intelligence Michael Helbraun Predictive Analytics Solutions Architect IBM Business Analytics www.spss.com/perspectives Agenda The changing

More information

Real World Application and Usage of IBM Advanced Analytics Technology

Real World Application and Usage of IBM Advanced Analytics Technology Real World Application and Usage of IBM Advanced Analytics Technology Anthony J. Young Pre-Sales Architect for IBM Advanced Analytics February 21, 2014 Welcome Anthony J. Young Lives in Austin, TX Focused

More information

Predictive Analytics for Government Chih-Feng Ku Solutions Manager, Business Analytics IBM Asia Pacific Business Analytics

Predictive Analytics for Government Chih-Feng Ku Solutions Manager, Business Analytics IBM Asia Pacific Business Analytics Predictive Analytics for Government Chih-Feng Ku Solutions Manager, Business Analytics IBM Asia Pacific Business Analytics 1 The world is changing and becoming more Instrumented Interconnected Intelligent

More information

IBM SPSS Modeler Professional

IBM SPSS Modeler Professional IBM SPSS Modeler Professional Make better decisions through predictive intelligence Highlights Create more effective strategies by evaluating trends and likely outcomes. Easily access, prepare and model

More information

Predictive Analytics: Too Important to Ignore The six secrets to success with predictive analytics

Predictive Analytics: Too Important to Ignore The six secrets to success with predictive analytics Predictive Analytics: Too Important to Ignore The six secrets to success with predictive analytics Webinar December 18, 2013 Sponsored by: Tony Cosentino VP & Research Director, Business Analytics Ventana

More information

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES Translating data into business value requires the right data mining and modeling techniques which uncover important patterns within

More information

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software Business Analytics IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster 2 Solve your toughest challenges with data mining

More information

Name: Srinivasan Govindaraj Title: Big Data Predictive Analytics

Name: Srinivasan Govindaraj Title: Big Data Predictive Analytics Name: Srinivasan Govindaraj Title: Big Data Predictive Analytics Please note the following IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice

More information

KnowledgeSEEKER POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE

KnowledgeSEEKER POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE POWERFUL SEGMENTATION, STRATEGY DESIGN AND VISUALIZATION SOFTWARE Most Effective Modeling Application Designed to Address Business Challenges Applying a predictive strategy to reach a desired business

More information

Get to Know the IBM SPSS Product Portfolio

Get to Know the IBM SPSS Product Portfolio IBM Software Business Analytics Product portfolio Get to Know the IBM SPSS Product Portfolio Offering integrated analytical capabilities that help organizations use data to drive improved outcomes 123

More information

Make Better Decisions Through Predictive Intelligence

Make Better Decisions Through Predictive Intelligence IBM SPSS Modeler Professional Make Better Decisions Through Predictive Intelligence Highlights Easily access, prepare and model structured data with this intuitive, visual data mining workbench Rapidly

More information

Performing a data mining tool evaluation

Performing a data mining tool evaluation Performing a data mining tool evaluation Start with a framework for your evaluation Data mining helps you make better decisions that lead to significant and concrete results, such as increased revenue

More information

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster Solve your toughest challenges with data mining Imagine if you could

More information

Improve Results with High- Performance Data Mining

Improve Results with High- Performance Data Mining Clementine 10.0 Specifications Improve Results with High- Performance Data Mining Data mining provides organizations with a clearer view of current conditions and deeper insight into future events. With

More information

Solve Your Toughest Challenges with Data Mining

Solve Your Toughest Challenges with Data Mining IBM Software Business Analytics IBM SPSS Modeler Solve Your Toughest Challenges with Data Mining Use predictive intelligence to make good decisions faster Solve Your Toughest Challenges with Data Mining

More information

TEXT ANALYTICS INTEGRATION

TEXT ANALYTICS INTEGRATION TEXT ANALYTICS INTEGRATION A TELECOMMUNICATIONS BEST PRACTICES CASE STUDY VISION COMMON ANALYTICAL ENVIRONMENT Structured Unstructured Analytical Mining Text Discovery Text Categorization Text Sentiment

More information

IBM SPSS Modeler Premium

IBM SPSS Modeler Premium IBM SPSS Modeler Premium Improve model accuracy with structured and unstructured data, entity analytics and social network analysis Highlights Solve business problems faster with analytical techniques

More information

IBM Customer Experience Suite and Predictive Analytics

IBM Customer Experience Suite and Predictive Analytics IBM Customer Experience Suite and Predictive Analytics Introduction to the IBM Customer Experience Suite In order to help customers meet their exceptional web experience goals in the most efficient and

More information

Achieve Better Insight and Prediction with Data Mining

Achieve Better Insight and Prediction with Data Mining Clementine 11.1 Specifications Achieve Better Insight and Prediction with Data Mining Data mining provides organizations with a clearer view of current conditions and deeper insight into future events.

More information

Develop Predictive Models Using Your Business Expertise

Develop Predictive Models Using Your Business Expertise Clementine 8.5 Specifications Develop Predictive Models Using Your Business Expertise Clementine is an integrated data mining workbench, popular worldwide with data miners and business analysts alike.

More information

BUSINESSOBJECTS PREDICTIVE WORKBENCH XI 3.0

BUSINESSOBJECTS PREDICTIVE WORKBENCH XI 3.0 PRODUCTS BUSINESSOBJECTS PREDICTIVE WORKBENCH XI 3.0 Transform Your Future with Insight Today Key Features As part of the BusinessObjects XI platform, BusinessObjects Predictive Workbench: Provides robust

More information

Predictive Analytics: Turn Information into Insights

Predictive Analytics: Turn Information into Insights Predictive Analytics: Turn Information into Insights Pallav Nuwal Business Manager; Predictive Analytics, India-South Asia pallav.nuwal@in.ibm.com +91.9820330224 Agenda IBM Predictive Analytics portfolio

More information

Using Data Mining to Detect Insurance Fraud

Using Data Mining to Detect Insurance Fraud IBM SPSS Modeler Using Data Mining to Detect Insurance Fraud Improve accuracy and minimize loss Highlights: Combine powerful analytical techniques with existing fraud detection and prevention efforts Build

More information

ANALYTICS CENTER LEARNING PROGRAM

ANALYTICS CENTER LEARNING PROGRAM Overview of Curriculum ANALYTICS CENTER LEARNING PROGRAM The following courses are offered by Analytics Center as part of its learning program: Course Duration Prerequisites 1- Math and Theory 101 - Fundamentals

More information

Beyond Traditional Management Reporting. 2013 IBM Corporation

Beyond Traditional Management Reporting. 2013 IBM Corporation Beyond Traditional Management Reporting 1 Agenda From Reporting to Business Analytics Expanding your capabilities set Workspace Authoring Statistical Analysis Predictive Modeling What-if analysis and planning

More information

IBM Business Analytics and Optimization The Path to Breakaway Performance

IBM Business Analytics and Optimization The Path to Breakaway Performance Oliver Oursin Worldwide Product, Business Intelligence and EMEA Presales Executive - IBM Business Analytics IBM Business Analytics and Optimization The Path to Breakaway Performance Portorož, November

More information

The Analytical Revolution

The Analytical Revolution Predictive Analytics World 19 October 2011 The Analytical Revolution Colin Shearer Worldwide Industry Solutions Leader SPSS Business Analytics software Our world is becoming smarter Instrumented Interconnected

More information

Predictive analytics with System z

Predictive analytics with System z Predictive analytics with System z Faster, broader, more cost effective access to critical insights Highlights Optimizes high-velocity decisions that can consistently generate real business results Integrates

More information

Predictive Analytics

Predictive Analytics Predictive Analytics How many of you used predictive today? 2015 SAP SE. All rights reserved. 2 2015 SAP SE. All rights reserved. 3 How can you apply predictive to your business? Predictive Analytics is

More information

The Future of Business Analytics is Now! 2013 IBM Corporation

The Future of Business Analytics is Now! 2013 IBM Corporation The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics

More information

IBM SPSS Modeler 15 In-Database Mining Guide

IBM SPSS Modeler 15 In-Database Mining Guide IBM SPSS Modeler 15 In-Database Mining Guide Note: Before using this information and the product it supports, read the general information under Notices on p. 217. This edition applies to IBM SPSS Modeler

More information

SAP Solution Brief SAP HANA. Transform Your Future with Better Business Insight Using Predictive Analytics

SAP Solution Brief SAP HANA. Transform Your Future with Better Business Insight Using Predictive Analytics SAP Brief SAP HANA Objectives Transform Your Future with Better Business Insight Using Predictive Analytics Dealing with the new reality Dealing with the new reality Organizations like yours can identify

More information

Data Mining. SPSS Clementine 12.0. 1. Clementine Overview. Spring 2010 Instructor: Dr. Masoud Yaghini. Clementine

Data Mining. SPSS Clementine 12.0. 1. Clementine Overview. Spring 2010 Instructor: Dr. Masoud Yaghini. Clementine Data Mining SPSS 12.0 1. Overview Spring 2010 Instructor: Dr. Masoud Yaghini Introduction Types of Models Interface Projects References Outline Introduction Introduction Three of the common data mining

More information

INTRODUCTION TO DATA MINING SAS ENTERPRISE MINER

INTRODUCTION TO DATA MINING SAS ENTERPRISE MINER INTRODUCTION TO DATA MINING SAS ENTERPRISE MINER Mary-Elizabeth ( M-E ) Eddlestone Principal Systems Engineer, Analytics SAS Customer Loyalty, SAS Institute, Inc. AGENDA Overview/Introduction to Data Mining

More information

Silvermine House Steenberg Office Park, Tokai 7945 Cape Town, South Africa Telephone: +27 21 702 4666 www.spss-sa.com

Silvermine House Steenberg Office Park, Tokai 7945 Cape Town, South Africa Telephone: +27 21 702 4666 www.spss-sa.com SPSS-SA Silvermine House Steenberg Office Park, Tokai 7945 Cape Town, South Africa Telephone: +27 21 702 4666 www.spss-sa.com SPSS-SA Training Brochure 2009 TABLE OF CONTENTS 1 SPSS TRAINING COURSES FOCUSING

More information

Make Better Decisions Through Predictive Intelligence

Make Better Decisions Through Predictive Intelligence IBM SPSS Modeler Professional Make Better Decisions Through Predictive Intelligence Highlights Easily access, prepare and model structured data with this intuitive, visual data mining workbench Expand

More information

Making confident decisions with the full spectrum of analysis capabilities

Making confident decisions with the full spectrum of analysis capabilities IBM Software Business Analytics Analysis Making confident decisions with the full spectrum of analysis capabilities Making confident decisions with the full spectrum of analysis capabilities Contents 2

More information

Introduction to Predictive Analytics: SPSS Modeler

Introduction to Predictive Analytics: SPSS Modeler Introduction to Predictive Analytics: SPSS Modeler John Antonucci, Sr. BDM Katrina Adams Ph.D. Welcome! The Webinar will begin at 12:00 pm EST LPA Events Calendar Upcoming Webinars Today - Introduction

More information

Hexaware E-book on Predictive Analytics

Hexaware E-book on Predictive Analytics Hexaware E-book on Predictive Analytics Business Intelligence & Analytics Actionable Intelligence Enabled Published on : Feb 7, 2012 Hexaware E-book on Predictive Analytics What is Data mining? Data mining,

More information

Achieve Better Insight and Prediction with Data Mining

Achieve Better Insight and Prediction with Data Mining Clementine 12.0 Specifications Achieve Better Insight and Prediction with Data Mining Data mining provides organizations with a clearer view of current conditions and deeper insight into future events.

More information

Some vendors have a big presence in a particular industry; some are geared toward data scientists, others toward business users.

Some vendors have a big presence in a particular industry; some are geared toward data scientists, others toward business users. Bonus Chapter Ten Major Predictive Analytics Vendors In This Chapter Angoss FICO IBM RapidMiner Revolution Analytics Salford Systems SAP SAS StatSoft, Inc. TIBCO This chapter highlights ten of the major

More information

An Introduction to SAS Enterprise Miner and SAS Forecast Server. André de Waal, Ph.D. Analytical Consultant

An Introduction to SAS Enterprise Miner and SAS Forecast Server. André de Waal, Ph.D. Analytical Consultant SAS Analytics Day An Introduction to SAS Enterprise Miner and SAS Forecast Server André de Waal, Ph.D. Analytical Consultant Agenda 1. Introduction to SAS Enterprise Miner 2. Basics 3. Enterprise Miner

More information

IBM SPSS Modeler Professional

IBM SPSS Modeler Professional IBM SPSS Modeler Professional Make better decisions through predictive intelligence Highlights Create more effective strategies by evaluating trends and likely outcomes. Easily access, prepare and model

More information

SAP Predictive Analytics: An Overview and Roadmap. Charles Gadalla, SAP @cgadalla SESSION CODE: 603

SAP Predictive Analytics: An Overview and Roadmap. Charles Gadalla, SAP @cgadalla SESSION CODE: 603 SAP Predictive Analytics: An Overview and Roadmap Charles Gadalla, SAP @cgadalla SESSION CODE: 603 Advanced Analytics SAP Vision Embed Smart Agile Analytics into Decision Processes to Deliver Business

More information

IBM's Fraud and Abuse, Analytics and Management Solution

IBM's Fraud and Abuse, Analytics and Management Solution Government Efficiency through Innovative Reform IBM's Fraud and Abuse, Analytics and Management Solution Service Definition Copyright IBM Corporation 2014 Table of Contents Overview... 1 Major differentiators...

More information

IBM Big Data in Government

IBM Big Data in Government IBM Big in Government Turning big data into smarter decisions Deepak Mohapatra Sr. Consultant Government IBM Software Group dmohapatra@us.ibm.com The Big Paradigm Shift 2 Big Creates A Challenge And an

More information

Working with telecommunications

Working with telecommunications Working with telecommunications Minimizing churn in the telecommunications industry Contents: 1 Churn analysis using data mining 2 Customer churn analysis with IBM SPSS Modeler 3 Types of analysis 3 Feature

More information

Search and Data Mining: Techniques. Applications Anya Yarygina Boris Novikov

Search and Data Mining: Techniques. Applications Anya Yarygina Boris Novikov Search and Data Mining: Techniques Applications Anya Yarygina Boris Novikov Introduction Data mining applications Data mining system products and research prototypes Additional themes on data mining Social

More information

Turning Data into Actionable Insights: Predictive Analytics with MATLAB WHITE PAPER

Turning Data into Actionable Insights: Predictive Analytics with MATLAB WHITE PAPER Turning Data into Actionable Insights: Predictive Analytics with MATLAB WHITE PAPER Introduction: Knowing Your Risk Financial professionals constantly make decisions that impact future outcomes in the

More information

Grow Revenues and Reduce Risk with Powerful Analytics Software

Grow Revenues and Reduce Risk with Powerful Analytics Software Grow Revenues and Reduce Risk with Powerful Analytics Software Overview Gaining knowledge through data selection, data exploration, model creation and predictive action is the key to increasing revenues,

More information

Using Business Analytics to transform the business. Oliver Oursin Worldwide Predictive & Business Intelligence Executive

Using Business Analytics to transform the business. Oliver Oursin Worldwide Predictive & Business Intelligence Executive Using Business Analytics to transform the business Oliver Oursin Worldwide Predictive & Business Intelligence Executive Watson answered a grand challenge Can we design a computing system that rivals a

More information

Three proven methods to achieve a higher ROI from data mining

Three proven methods to achieve a higher ROI from data mining IBM SPSS Modeler Three proven methods to achieve a higher ROI from data mining Take your business results to the next level Highlights: Incorporate additional types of data in your predictive models By

More information

KnowledgeSEEKER Marketing Edition

KnowledgeSEEKER Marketing Edition KnowledgeSEEKER Marketing Edition Predictive Analytics for Marketing The Easiest to Use Marketing Analytics Tool KnowledgeSEEKER Marketing Edition is a predictive analytics tool designed for marketers

More information

III JORNADAS DE DATA MINING

III JORNADAS DE DATA MINING III JORNADAS DE DATA MINING EN EL MARCO DE LA MAESTRÍA EN DATA MINING DE LA UNIVERSIDAD AUSTRAL PRESENTACIÓN TECNOLÓGICA IBM Alan Schcolnik, Cognos Technical Sales Team Leader, IBM Software Group. IAE

More information

Big Data Are You Ready? Jorge Plascencia Solution Architect Manager

Big Data Are You Ready? Jorge Plascencia Solution Architect Manager Big Data Are You Ready? Jorge Plascencia Solution Architect Manager Big Data: The Datafication Of Everything Thoughts Devices Processes Thoughts Things Processes Run the Business Organize data to do something

More information

Confidently Anticipate and Drive Better Business Outcomes

Confidently Anticipate and Drive Better Business Outcomes SAP Brief Analytics s from SAP SAP Predictive Analytics Objectives Confidently Anticipate and Drive Better Business Outcomes See the future more clearly with predictive analytics See the future more clearly

More information

IBM SPSS Modeler 14.2 In-Database Mining Guide

IBM SPSS Modeler 14.2 In-Database Mining Guide IBM SPSS Modeler 14.2 In-Database Mining Guide Note: Before using this information and the product it supports, read the general information under Notices on p. 197. This edition applies to IBM SPSS Modeler

More information

Predictive Marketing for Banking

Predictive Marketing for Banking Tony Firmani Predictive Analytics Solution Architect Predictive Marketing for Banking Business Analytics software Session Overview Data Drives Decisions Applying Predictive Analytics Throughout Entire

More information

Introduction to Data Mining

Introduction to Data Mining Introduction to Data Mining Jay Urbain Credits: Nazli Goharian & David Grossman @ IIT Outline Introduction Data Pre-processing Data Mining Algorithms Naïve Bayes Decision Tree Neural Network Association

More information

Five Predictive Imperatives for Maximizing Customer Value

Five Predictive Imperatives for Maximizing Customer Value Five Predictive Imperatives for Maximizing Customer Value Applying predictive analytics to enhance customer relationship management Contents: 1 Customers rule the economy 1 Many CRM initiatives are failing

More information

PREDICTIVE ANALYTICS IN HIGHER EDUCATION NOVEMBER 6, 2014

PREDICTIVE ANALYTICS IN HIGHER EDUCATION NOVEMBER 6, 2014 PREDICTIVE ANALYTICS IN HIGHER EDUCATION NOVEMBER 6, 2014 WHAT IS PREDICTIVE ANALYTICS? Predictive Analytics helps connect data to effective action by drawing reliable conclusions about current conditions

More information

Introduction to Big Data Analytics p. 1 Big Data Overview p. 2 Data Structures p. 5 Analyst Perspective on Data Repositories p.

Introduction to Big Data Analytics p. 1 Big Data Overview p. 2 Data Structures p. 5 Analyst Perspective on Data Repositories p. Introduction p. xvii Introduction to Big Data Analytics p. 1 Big Data Overview p. 2 Data Structures p. 5 Analyst Perspective on Data Repositories p. 9 State of the Practice in Analytics p. 11 BI Versus

More information

Driving Value From Big Data

Driving Value From Big Data Big Data Executive Forum Data Discovery, Modern Architecture & Visualization Driving Value From Big Data Bill Franks Chief Analytics Officer, Teradata It s Not So Much Big Data As it is different data.

More information

Oracle Advanced Analytics 12c & SQLDEV/Oracle Data Miner 4.0 New Features

Oracle Advanced Analytics 12c & SQLDEV/Oracle Data Miner 4.0 New Features Oracle Advanced Analytics 12c & SQLDEV/Oracle Data Miner 4.0 New Features Charlie Berger, MS Eng, MBA Sr. Director Product Management, Data Mining and Advanced Analytics charlie.berger@oracle.com www.twitter.com/charliedatamine

More information

Improve Model Accuracy with Unstructured Data

Improve Model Accuracy with Unstructured Data IBM SPSS Modeler Premium Improve Model Accuracy with Unstructured Data Highlights Easily access, prepare and integrate structured data and text, Web and survey data Support the entire data mining process

More information

Five Predictive Imperatives for Maximizing Customer Value

Five Predictive Imperatives for Maximizing Customer Value Executive Brief Five Predictive Imperatives for Maximizing Customer Value Applying Predictive Analytics to enhance customer relationship management Table of contents Executive summary...2 The five predictive

More information

Microsoft Services Exceed your business with Microsoft SharePoint Server 2010

Microsoft Services Exceed your business with Microsoft SharePoint Server 2010 Microsoft Services Exceed your business with Microsoft SharePoint Server 2010 Business Intelligence Suite Alexandre Mendeiros, SQL Server Premier Field Engineer January 2012 Agenda Microsoft Business Intelligence

More information

HGH BI Solutions. Business Intelligence & Integration. Equipping Your Organization for Effective Decision Making

HGH BI Solutions. Business Intelligence & Integration. Equipping Your Organization for Effective Decision Making HGH BI Solutions Business Intelligence & Integration Equipping Your Organization for Effective Decision Making Peter Kranenburg RI MCP HGH Business Consultancy B.V. Agenda BI building blocks - components

More information

Overview, Goals, & Introductions

Overview, Goals, & Introductions Improving the Retail Experience with Predictive Analytics www.spss.com/perspectives Overview, Goals, & Introductions Goal: To present the Retail Business Maturity Model Equip you with a plan of attack

More information

What do Analytics, Tom Cruise and Bob Dylan have in Common?

What do Analytics, Tom Cruise and Bob Dylan have in Common? What do Analytics, Tom Cruise and Bob Dylan have in Common? Presentation for Assimil8 September 2015 1 Tony Boobier WW Executive IBM Analytics Objectives Analytics and Data in Context Trends Implementation

More information

Maximizing Return and Minimizing Cost with the Decision Management Systems

Maximizing Return and Minimizing Cost with the Decision Management Systems KDD 2012: Beijing 18 th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Rich Holada, Vice President, IBM SPSS Predictive Analytics Maximizing Return and Minimizing Cost with the Decision Management

More information

Using Data Mining to Detect Insurance Fraud

Using Data Mining to Detect Insurance Fraud IBM SPSS Modeler Using Data Mining to Detect Insurance Fraud Improve accuracy and minimize loss Highlights: combines powerful analytical techniques with existing fraud detection and prevention efforts

More information

Harnessing the power of advanced analytics with IBM Netezza

Harnessing the power of advanced analytics with IBM Netezza IBM Software Information Management White Paper Harnessing the power of advanced analytics with IBM Netezza How an appliance approach simplifies the use of advanced analytics Harnessing the power of advanced

More information

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved.

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved. Mike Maxey Senior Director Product Marketing Greenplum A Division of EMC 1 Greenplum Becomes the Foundation of EMC s Big Data Analytics (July 2010) E M C A C Q U I R E S G R E E N P L U M For three years,

More information

Voice. listen, understand and respond. enherent. wish, choice, or opinion. openly or formally expressed. May 2010. - Merriam Webster. www.enherent.

Voice. listen, understand and respond. enherent. wish, choice, or opinion. openly or formally expressed. May 2010. - Merriam Webster. www.enherent. Voice wish, choice, or opinion openly or formally expressed - Merriam Webster listen, understand and respond May 2010 2010 Corp. All rights reserved. www..com Overwhelming Dialog Consumers are leading

More information

BI forward: A full view of your business

BI forward: A full view of your business IBM Software Business Analytics Business Intelligence BI forward: A full view of your business 2 BI forward: A full view of your business Contents 2 Introduction 3 BI for today and the future 4 Predictive

More information

Chapter 2: Data Analytics Life Cycle

Chapter 2: Data Analytics Life Cycle Section 1. Data Analytics Lifecycle Overview The Data Analytics Lifecycle is designed specifically for Big Data problems and data science projects. The lifecycle has six phases, and project work can occur

More information

Data Mining Solutions for the Business Environment

Data Mining Solutions for the Business Environment Database Systems Journal vol. IV, no. 4/2013 21 Data Mining Solutions for the Business Environment Ruxandra PETRE University of Economic Studies, Bucharest, Romania ruxandra_stefania.petre@yahoo.com Over

More information

Demystifying Big Data Government Agencies & The Big Data Phenomenon

Demystifying Big Data Government Agencies & The Big Data Phenomenon Demystifying Big Data Government Agencies & The Big Data Phenomenon Today s Discussion If you only remember four things 1 Intensifying business challenges coupled with an explosion in data have pushed

More information

White Paper. How Streaming Data Analytics Enables Real-Time Decisions

White Paper. How Streaming Data Analytics Enables Real-Time Decisions White Paper How Streaming Data Analytics Enables Real-Time Decisions Contents Introduction... 1 What Is Streaming Analytics?... 1 How Does SAS Event Stream Processing Work?... 2 Overview...2 Event Stream

More information

3 Principles for Maximum Participation in Open Data on the Web Bob Schloss, IBM Research April 19, 2013

3 Principles for Maximum Participation in Open Data on the Web Bob Schloss, IBM Research April 19, 2013 3 Principles for Maximum Participation in Open Data on the Web Bob Schloss, IBM Research April 19, 2013 with John M Cohn, Kelvin Lawrence, Susan Malaika, John Reinhardt, David Rook, Biplav Srivastava rschloss@us.ibm.com

More information

Information Visualization WS 2013/14 11 Visual Analytics

Information Visualization WS 2013/14 11 Visual Analytics 1 11.1 Definitions and Motivation Lot of research and papers in this emerging field: Visual Analytics: Scope and Challenges of Keim et al. Illuminating the path of Thomas and Cook 2 11.1 Definitions and

More information

Minimize customer churn with analytics

Minimize customer churn with analytics IBM Software Business Analytics Telecommunications Minimize customer churn with analytics Understand who s likely to churn and take action with IBM software 2 Minimize customer churn with analytics Contents

More information

Get to know the IBM SPSS product portfolio

Get to know the IBM SPSS product portfolio Business Analytics SPSS software Get to know the IBM SPSS product portfolio Advanced analytics that help organizations anticipate change and take action to improve outcomes 2 Get to know the IBM SPSS product

More information

ETPL Extract, Transform, Predict and Load

ETPL Extract, Transform, Predict and Load ETPL Extract, Transform, Predict and Load An Oracle White Paper March 2006 ETPL Extract, Transform, Predict and Load. Executive summary... 2 Why Extract, transform, predict and load?... 4 Basic requirements

More information

High-Performance Analytics

High-Performance Analytics High-Performance Analytics David Pope January 2012 Principal Solutions Architect High Performance Analytics Practice Saturday, April 21, 2012 Agenda Who Is SAS / SAS Technology Evolution Current Trends

More information

WHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics

WHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics WHITE PAPER Harnessing the Power of Advanced How an appliance approach simplifies the use of advanced analytics Introduction The Netezza TwinFin i-class advanced analytics appliance pushes the limits of

More information

Demonstration of SAP Predictive Analysis 1.0, consumption from SAP BI clients and best practices

Demonstration of SAP Predictive Analysis 1.0, consumption from SAP BI clients and best practices September 10-13, 2012 Orlando, Florida Demonstration of SAP Predictive Analysis 1.0, consumption from SAP BI clients and best practices Vishwanath Belur, Product Manager, SAP Predictive Analysis Learning

More information

What s New in SPSS 16.0

What s New in SPSS 16.0 SPSS 16.0 New capabilities What s New in SPSS 16.0 SPSS Inc. continues its tradition of regularly enhancing this family of powerful but easy-to-use statistical software products with the release of SPSS

More information

KNIME UGM 2014 Partner Session

KNIME UGM 2014 Partner Session KNIME UGM 2014 Partner Session DYMATRIX Stefan Weingaertner DYMATRIX CONSULTING GROUP 1 Agenda 1 Company Introduction 2 DYMATRIX Customer Intelligence Offering 3 PMML2SQL / PMML2SAS Converter 4 Uplift

More information

CHAPTER-29 Data Mining, System Products and Research Prototypes

CHAPTER-29 Data Mining, System Products and Research Prototypes CHAPTER-29 Data Mining, System Products and Research Prototypes 29.1 How to Choose a Data Mining System 29.2 Data, mining functions and methodologies: 29.3 Coupling data mining with database anti/or data

More information

A financial software company

A financial software company A financial software company Projecting USD10 million revenue lift with the IBM Netezza data warehouse appliance Overview The need A financial software company sought to analyze customer engagements to

More information

whitepaper Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R

whitepaper Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R Table of Contents 3 Predictive Analytics with TIBCO Spotfire 4 TIBCO Spotfire Statistics Services 8 TIBCO Enterprise Runtime

More information

Integrating a Big Data Platform into Government:

Integrating a Big Data Platform into Government: Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s Government

More information

Five predictive imperatives for maximizing customer value

Five predictive imperatives for maximizing customer value Five predictive imperatives for maximizing customer value Applying predictive analytics to enhance customer relationship management Contents: 1 Introduction 4 The five predictive imperatives 13 Products

More information

How Organisations Are Using Data Mining Techniques To Gain a Competitive Advantage John Spooner SAS UK

How Organisations Are Using Data Mining Techniques To Gain a Competitive Advantage John Spooner SAS UK How Organisations Are Using Data Mining Techniques To Gain a Competitive Advantage John Spooner SAS UK Agenda Analytics why now? The process around data and text mining Case Studies The Value of Information

More information

IBM G-Cloud IBM SPSS Decision Management Software as a Service

IBM G-Cloud IBM SPSS Decision Management Software as a Service IBM G-Cloud IBM SPSS Decision Management Software as a Service Service Definition 1 1. Summary 1.1 Service Description IBM SPSS Decision Management Software as a Service (SaaS) offers another way of delivering

More information

Using Predictions to Power the Business. Wayne Eckerson Director of Research and Services, TDWI February 18, 2009

Using Predictions to Power the Business. Wayne Eckerson Director of Research and Services, TDWI February 18, 2009 Using Predictions to Power the Business Wayne Eckerson Director of Research and Services, TDWI February 18, 2009 Sponsor 2 Speakers Wayne Eckerson Director, TDWI Research Caryn A. Bloom Data Mining Specialist,

More information

Data Mining for Everyone

Data Mining for Everyone Page 1 Data Mining for Everyone Christoph Sieb Senior Software Engineer, Data Mining Development Dr. Andreas Zekl Manager, Data Mining Development Page 2 Executive Summary Contents 2 Data mining in the

More information