Predictive Analytics for Retail: Understanding Customer Behaviour
|
|
- Maximillian Montgomery
- 8 years ago
- Views:
Transcription
1 Predictive Analytics for Retail: Understanding Customer Behaviour Jarlath Quinn Analytics Consultant Rachel Clinton Business Development
2 FAQ s Is this session being recorded? No Can I get a copy of the slides? Yes, we ll a PDF copy to you after the session has ended. Can we arrange a re-run for colleagues? Yes, just ask us. How can I ask questions? All lines are muted so please use the chat facility if we run out of time we will follow up with you.
3 Premium, accredited partner to IBM specialising in the SPSS Advanced Analytics suite. Team each has 15 to 20 years of experience working in the predictive analytic space - specifically as senior members of the heritage SPSS team
4 What do we mean by Predictive Analytics? Predictive analytics encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events Analysis of structured and unstructured information with mining, predictive modeling, and 'what-if' scenario analysis.
5 Interest in Predictive Analytics Predictive Analytics Business Intelligence
6 Core Predictive Analytics Applications attract grow fraud retain risk
7 Analytics in Retail Segmentation Life Time Value Loyalty Purchase Behaviour RFM Store clustering Propensity Modelling Response Cross-Sell Churn Reactivation Voucher Redemption Other Applications Affinity/Basket Analysis LTV prediction Forecasting Text Mining Satisfaction Modelling
8 Typical Application Aims Profit Lower Cost of Acquisition Cross Sell Up Sell Maximise Lifetime Value Minimise Defaults Prevent Fraud Prevent Waste Maintain Availability Market Share Acquire More Customers Build a Reputable Brand Anticipate Demand Maximise Satisfaction Maximise Loyalty Address Poor Satisfaction Lower Churn Rates Reactivate Passive Customers Grow Defend
9 Propensity Modelling
10 Store Clustering
11 Sales Forecasting
12 Text Mining
13 How do we do this? By utilising a powerful, proven methodology CRISP-DM: Cross-Industry Standard Process for Data Mining Each application can be developed and progressed through a series of key phases
14 Competitive advantage How do we do this? By exploiting a wider data landscape Social Media Data Interaction Data Descriptive Data EPOS Data Degree of intelligence
15 How do we do this? By using powerful IBM advanced analytics technology
16 How do we do this? By integrating the resultant insight with existing systems
17 SPSS Retail Users Include
18 Quick Demo
19 Advice to get started Consider adopting a proven methodology e.g. CRISP-DM ( Don t get hung up on modelling techniques - focus on Business Understanding and Deployment Consider the full data landscape don t wait for the perfect data warehouse Consider the sorts of roles involved /impacted Consider integration with other business insight systems (e.g. MI/BI) How will you know its worked? Focus on measuring the benefit e.g. response rate lift, increased cross-sell, revenue/profit impact You may not need to recruit specialists: data literate, business focussed people can learn how to do this.
20 Contact us: +44 (0) Thank you
Predictive Analytics in an hour: a no-nonsense quick guide
Predictive Analytics in an hour: a no-nonsense quick guide Jarlath Quinn Analytics Consultant Rachel Clinton Business Development www.sv-europe.com FAQ s Is this session being recorded? Yes Can I get a
More informationPredictive Analytics in an hour: a no-nonsense quick guide
Predictive Analytics in an hour: a no-nonsense quick guide Jarlath Quinn Analytics Consultant Rachel Clinton Business Development www.sv-europe.com FAQ s Is this session being recorded? No Can I get a
More informationUsing predictive analytics to maximise the value of charity donors
Using predictive analytics to maximise the value of charity donors Jarlath Quinn Analytics Consultant Rachel Clinton Business Development www.sv-europe.com FAQs Is this session being recorded? Yes Can
More informationPredictive Analytics for Database Marketing
Predictive Analytics for Database Marketing Jarlath Quinn Analytics Consultant Rachel Clinton Business Development www.sv-europe.com FAQ s Is this session being recorded? Yes Can I get a copy of the slides?
More informationPredictive Maintenance for Effective Asset Management
Predictive Maintenance for Effective Asset Management Jarlath Quinn Analytics Consultant Rachel Clinton Business Development www.sv-europe.com FAQs Is this session being recorded? Yes Can I get a copy
More informationPredictive Analytics for Retail: Understanding Customer Behaviour
Predictive Analytics for Retail: Understanding Customer Behaviour Friday 10 th October 2014 London, Southbank www.sv-europe.com Agenda 9:30 10:00: Arrival, Registration & Coffee 10:00 10:20: Introduction:
More informationTEXT 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 informationVlassis Papapanagis Operations Director PREDICTA Group. Using Analytics to predict Customer s Behavior
Vlassis Papapanagis Operations Director PREDICTA Group Using Analytics to predict Customer s Behavior Today s organizations are facing many DISRUPTIVE FORCES fueling the need for analytics The emergence
More informationIntroduction 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 informationOUR FOCUS YOUR GROWTH
ANALYTICS SERVICES OUR FOCUS YOUR GROWTH There is a plethora of data around us. For most companies, managing this data is becoming vital to building competitive advantage, sustaining and identifying new
More informationCustomer Relationship Management using SAS Software. Julian Kulkarni, SAS Europe Joanna Crosse, SAS UK
Relationship using SAS Software Julian Kulkarni, SAS Europe Joanna Crosse, SAS UK Relationship The Growing Pains... Complete CRM Business Model The Cycle Applications The growing pains of Mrs I. Deer,
More informationMaximizing Guest Experiences
Maximizing Guest Experiences One Platform: Cross Functional and Scalable Central Data Warehouse with Hospitality Architecture Profile De-duplication Engine 360 Degree Profile of Guests and Prospects ESP
More informationDecisioning for Telecom Customer Intimacy. Experian Telecom Analytics
Decisioning for Telecom Customer Intimacy Experian Telecom Analytics Turning disruption into opportunity The traditional telecom business model is being disrupted by a variety of pressures. From heightened
More informationThe Top 10 Secrets to Using Data Mining to Succeed at CRM
The Top 10 Secrets to Using Data Mining to Succeed at CRM Discover proven strategies and best practices Highlights: Plan and execute successful data mining projects. Understand the roles and responsibilities
More informationPredictive 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 informationThe top 10 secrets to using data mining to succeed at CRM
The top 10 secrets to using data mining to succeed at CRM Discover proven strategies and best practices Highlights: Plan and execute successful data mining projects using IBM SPSS Modeler. Understand the
More informationTaking A Proactive Approach To Loyalty & Retention
THE STATE OF Customer Analytics Taking A Proactive Approach To Loyalty & Retention By Kerry Doyle An Exclusive Research Report UBM TechWeb research conducted an online study of 339 marketing professionals
More informationPREDICTIVE 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 informationIBM Predictive Analytics Solutions
IBM Predictive Analytics Solutions Koenraad De Cock Wannes Rosius 2014 IBM Corporation 2014 IBM Corporation 1 Agenda Overzicht van de IBM oplossingen De Academische- vs de Business-wereld, een reflectie
More informationThe Retail Analytics Challenge: Smarter Retail through Advanced Analytics & Optimization
Smarter Retail The Retail Analytics Challenge: Smarter Retail through Advanced Analytics & Optimization 2011 IBM Corporation Connecting With the Digital Customer the Retail Challenge 88.8% increase in
More informationPREDICTIVE ANALYTICS DEMYSTIFIED
PREDICTIVE ANALYTICS DEMYSTIFIED 12.12.2014 Agenda Introduction Who we are! What is Predictive Analytics? Who needs Predictive Analytics? How to build Predictive Models? Demonstration: IBM SPSS Success
More informationData Science & Big Data Practice
INSIGHTS ANALYTICS INNOVATIONS Data Science & Big Data Practice Customer Intelligence - 360 Insight Amplify customer insight by integrating enterprise data with external data Customer Intelligence 360
More informationDecisioning for Telecom Customer Intimacy. Experian Telecom Analytics
Decisioning for Telecom Customer Intimacy Experian Telecom Analytics Turning disruption into opportunity The traditional telecom business model is being disrupted by a variety of pressures from heightened
More informationThe ReMark Proposition....at a glance. Maximum Value Creation
The ReMark Proposition...at a glance Our proposition at a glance Vision For Our Relationship ReMark seeks opportunities to partner with financial institutions to build discrete Alternative Distribution
More informationPredictive Analytics Applications for Retailers
This document has been help foster conversations about the creation of an enterprise-wide analytics strategy. The topics discussed should help Retailers identify opportunities in customer interaction,
More informationCustomer Relationship Management
IBM Global Business Services CRM Customer Relationship Management Solutions from IBM Global Business Services Do you really know your customers? How do they like to interact with you? How do they use your
More informationAn Introduction to Advanced Analytics and Data Mining
An Introduction to Advanced Analytics and Data Mining Dr Barry Leventhal Henry Stewart Briefing on Marketing Analytics 19 th November 2010 Agenda What are Advanced Analytics and Data Mining? The toolkit
More informationBusiness Analytics and the Nexus of Information
Business Analytics and the Nexus of Information 2 The Impact of the Nexus of Forces 4 From the Gartner Files: Information and the Nexus of Forces: Delivering and Analyzing Data 6 About IBM Business Analytics
More informationVisa Consulting and Analytics
Visa Consulting and Analytics Issuer Acquirer Retailer Analytics and Information services: Issuer menu Issuers - Visa data driven insights We are in a unique position to inform our clients about performance
More informationCustomer Care for High Value Customers:
Customer Care for High Value Customers: Key Strategies Srinivasan S.T. and Krishnan K.C. Abstract Communication Service Providers (CSPs) have started investing in emerging technologies as a result of commoditization
More informationBEYOND BUSINESS INTELLIGENCE: How banks can use Advanced Analytics to win in the experience era
BEYOND BUSINESS INTELLIGENCE: How banks can use Advanced Analytics to win in the experience era Banks who win in the experience era will move from asking what happened to what s next Turning crisis into
More informationHow 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 informationNeil Hayward Customer Intelligence Solutions Program Manager SAS EMEA Copyright 2003, SAS Institute Inc. All rights reserved.
SAS Marketing Optimization Neil Hayward Customer Intelligence Solutions Program Manager SAS EMEA Copyright 2003, SAS Institute Inc. All rights reserved. Business pain! I m not getting the best financial
More informationHow To Use Social Media To Improve Your Business
IBM Software Business Analytics Social Analytics Social Business Analytics Gaining business value from social media 2 Social Business Analytics Contents 2 Overview 3 Analytics as a competitive advantage
More informationThree 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 informationOverview, 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 informationBeyond 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 informationHow To Get More Business From Big Data And Analytics
ACQUIRE, GROW & RETAIN CUSTOMERS: The Business Imperative for BIG DATA & ANALYTICS INSIDESSS Introduction Page 2 The Four Benefits Page 3 Make Your Business Big Data & Analytics Driven Page 4 Acquire Page
More informationEMEA CRM Analytics Suite Magic Quadrant Criteria 3Q02
Decision Framework, J. Radcliffe Research Note 26 September 2002 EMEA CRM Analytics Suite Magic Quadrant Criteria 3Q02 Europe, the Middle East and Africa Customer Relationship Management Analytics Suite
More informationPast, present, and future Analytics at Loyalty NZ. V. Morder SUNZ 2014
Past, present, and future Analytics at Loyalty NZ V. Morder SUNZ 2014 Contents Visions The undisputed customer loyalty experts To create, maintain and motivate loyal customers for our Participants Win
More informationGrowing Customer Value, One Unique Customer at a Time
Increasing Customer Value for Insurers How Predictive Analytics Can Help Insurance Organizations Maximize Customer Growth Opportunities www.spss.com/perspectives Introduction Trends Influencing Insurers
More informationHow To Transform Customer Service With Business Analytics
IBM Software Business Analytics Customer Service Transforming customer service with business analytics 2 Transforming customer service with business analytics Contents 2 Overview 2 Customer service is
More informationInfinity Buyerlytics System Multichannel Customer Care Solutions
Infinity Buyerlytics System Multichannel Customer Care Solutions Where are you at today? Are all your customer efforts metrics driven? Primary Drivers of Sales Campaign ROI: Return on Investment Factor
More informationData Products and Services. The one-stop-shop for all your business-to-consumer data requirements
Data Products and Services The one-stop-shop for all your business-to-consumer data requirements Put data and insight back at the heart of your marketing Knowing who to target, when, via what channel and
More informationCoolaData Predictive Analytics
CoolaData Predictive Analytics 9 3 6 About CoolaData CoolaData empowers online companies to become proactive and predictive without having to develop, store, manage or monitor data themselves. It is an
More informationUsing 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 informationCreated to make a. Specialists in data and campaign management
Created to make a difference Specialists in data and campaign management XCM created to make a positive difference to your thinking, your marketing, your business XCM would like to thank all customers,
More informationBusiness analytics for banking
IBM Software Group White Paper IBM Business Analytics Business analytics for banking Three ways to win 2 Business analytics for banking Banks need smarter systems to manage the flow of money around our
More informationSAP Predictive Analysis: Strategy, Value Proposition
September 10-13, 2012 Orlando, Florida SAP Predictive Analysis: Strategy, Value Proposition Thomas B Kuruvilla, Solution Management, SAP Business Intelligence Scott Leaver, Solution Management, SAP Business
More informationCustomer Relationship Management (CRM)
Customer Relationship Management (CRM) Dr A. Albadvi Asst. Prof. Of IT Tarbiat Modarres University Information Technology Engineering Dept. Affiliate of Sharif University of Technology School of Management
More information7 SMART IDEAS TO GROW YOUR SAAS BUSINESS
7 SMART IDEAS TO GROW YOUR SAAS BUSINESS A Xander Marketing White Paper The SaaS Marketing Agency INTRODUCTION In the fast-paced world of technology, growing your business can be a significant challenge.
More informationNavigating Big Data business analytics
mwd a d v i s o r s Navigating Big Data business analytics Helena Schwenk A special report prepared for Actuate May 2013 This report is the third in a series and focuses principally on explaining what
More informationEasily Identify Your Best Customers
IBM SPSS Statistics Easily Identify Your Best Customers Use IBM SPSS predictive analytics software to gain insight from your customer database Contents: 1 Introduction 2 Exploring customer data Where do
More informationAn Enterprise Framework for Business Intelligence
An Enterprise Framework for Business Intelligence Colin White BI Research May 2009 Sponsored by Oracle Corporation TABLE OF CONTENTS AN ENTERPRISE FRAMEWORK FOR BUSINESS INTELLIGENCE 1 THE BI PROCESSING
More informationCombining 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 informationPredictive Analytics for Donor Management
IBM Software Business Analytics IBM SPSS Predictive Analytics Predictive Analytics for Donor Management Predictive Analytics for Donor Management Contents 2 Overview 3 The challenges of donor management
More informationIBM Next Best Action. Tony Hocevar Business Analytics Growth Markets
IBM Next Best Action Tony Hocevar Business Analytics Growth Markets Agenda Introduction to Next Best Action Demonstration Questions Data is the new oil Ann Winblad Hummer-Winblad The CMO s Dilemma: Analyze
More informationConsumer Analytics Whitepaper
We make IT work Consumer Analytics Whitepaper Ian Sherratt - SCC s CTO David Willmott IBM Software Specialist July 2015 0402 ABOUT SCC We enable people to do business. We make IT work through partnership,
More informationSolve 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 informationDISCOVER MERCHANT PREDICTOR MODEL
DISCOVER MERCHANT PREDICTOR MODEL A Proactive Approach to Merchant Retention Welcome to Different. A High-Level View of Merchant Attrition It s a well-known axiom of business that it costs a lot more to
More informationCustomer Retention. COMEX, Implement 29 th April 2016. Bjørn Büchmann-Slorup Head of Sales Development & Analytics Danske Bank
Customer Retention COMEX, Implement 29 th April 2016 Bjørn Büchmann-Slorup Head of Sales Development & Analytics Danske Bank 1 Setting the scene Sales Development & Analytics Reporting lines Personal Banking
More informationHello, Goodbye. The New Spin on Customer Loyalty. From Customer Acquisition to Customer Loyalty. Definition of CRM.
Hello, Goodbye. The New Spin on Customer Loyalty The so-called typical customer no longer exists. Companies were focused on selling as many products as possible, without regard to who was buying them.
More informationMultichannel Customer Care
Multichannel Customer Care The changing landscape in customer communication provides a unique opportunity to combine the assets of our outsource services division (call center and network) with our social
More informationUnlock the business value of enterprise data with in-database analytics
Unlock the business value of enterprise data with in-database analytics Achieve better business results through faster, more accurate decisions White Paper Table of Contents Executive summary...1 How can
More informationMajor Trends in the Insurance Industry
To survive in today s volatile marketplace? Information or more precisely, Actionable Information is the key factor. For no other industry is it as important as for the Insurance Industry, which is almost
More informationIBM 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 informationACS 3907 E-Commerce. Instructor: Kerry Augustine March 3 rd 2015. Bowen Hui, Beyond the Cube Consulting Services Ltd.
ACS 3907 E-Commerce Instructor: Kerry Augustine March 3 rd 2015 CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SYSTEMS Managing materials, services and information from suppliers through to the organization s
More informationRetention-focused credit management
analyse segment retain Retention-focused credit management Adrian Robson Executive Head: Customer Acquisition 1 Retention focused credit management Intention To provide insight into how s credit management
More informationBranch Staffing: Everything has ALREADY changed and this is only. the beginning. CloudCords Forecaster. Save up to $20,000 per branch per year
Branch Staffing: Everything has ALREADY changed and this is only the beginning. CloudCords Forecaster Get out in front of the dramatic changes in customer behavior to align your staff and your budget to
More informationThe Future of Customer Engagement. Rusty Warner, Vice President Product Marketing Alterian
The Future of Customer Engagement Rusty Warner, Vice President Product Marketing Alterian The Future of Customer Engagement Where Is Marketing Headed? How Do We Get There? Who Is Doing it Right? What Happens
More informationFive 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 informationGENERATE REVENUES WITH AN EFFECTIVE PARTS WHOLESALE STRATEGY.
GENERATE REVENUES WITH AN EFFECTIVE PARTS WHOLESALE STRATEGY. fueled by challenge. powering success. sm 1,500 dealer programs in 27 markets Parts wholesale has the potential to significantly contribute
More informationTechnology Trends in Mortgage Lending - Mortgage Marketing
Technology Trends in Mortgage Lending - Mortgage Marketing Amit Mookim, Manoj Ramachandran Mortgage Marketing takes Centre-stage: Introduction Till a few years ago, one could say that mortgage lenders
More informationMarketing Optimization. An Experian white paper
Marketing Optimization An Experian white paper March 2010 Executive Summary For your organisation to thrive it is important to make the most of each customer interaction and maximise customer value. In
More informationSolve 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 informationIncreasing marketing campaign profitability with Predictive Analytics
Increasing marketing campaign profitability with Predictive Analytics Highlights: Achieve better campaign results without increasing staff or budget Enhance your CRM by creating personalized campaigns
More informationeircom gains deep insights into customer experience
eircom gains deep insights into customer experience Reducing churn and improving customer experience with predictive analytics from IBM and Presidion Smart is... Using predictive analytics to identify
More informationTHE PATH TOWARDS AN EXCEPTIONAL CUSTOMER EXPERIENCE
THE PATH TOWARDS AN EXCEPTIONAL CUSTOMER EXPERIENCE CREATE DEEPER AND MORE VALUABLE CUSTOMER RELATIONSHIPS TO IMPROVE SALES Vaia Tziagka Customer Intelligence Domain Expert SAS Greece, Cyprus, Bulgaria
More informationSolve 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 informationIBM Analytical Decision Management
IBM Analytical Decision Management Deliver better outcomes in real time, every time Highlights Organizations of all types can maximize outcomes with IBM Analytical Decision Management, which enables you
More informationContact Center Trends and Future
Contact Center Trends and Future The Dynamic Contact Center Keith Pearce & Tamal Islam Consistent experience Internet integration Limit hold times Customer Experience New channels web, chat, SMS Differentiated
More informationCross Sell. Unlocking the value from your customer relationships. < PREVIOUS NEXT > CLOSE x PRINT. Visit our website: www.lbm.co.
Unlocking the value from your customer relationships < PREVIOUS NEXT > CLOSE x PRINT Call us: 0161 616 Call 0599 us: 0161 616 0599 When cross and up-selling to your customers you tread a fine-line. Get
More information> Cognizant Analytics for Banking & Financial Services Firms
> Cognizant for Banking & Financial Services Firms Actionable insights help banks and financial services firms in digital transformation Challenges facing the industry Economic turmoil, demanding customers,
More informationHow To Understand The Role Of A Crom System
May 2012 The promise of CRM Type the words Promise of CRM into Google and you ll find that industry experts have been bemoaning CRM s failure to deliver on its promises for more than a decade. And yet,
More informationSAP 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 informationFive 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 informationGenerating Customer Insight with the Multi-Partner Program HappyDigits. Athens, 24th September 2008 Thorsten Franz
Generating Insight with the Multi-Partner Program HappyDigits Athens, 24th September 2008 Thorsten Franz Generating Insight with the Multi-Partner Program HappyDigits A brief introduction: Who is CAP,
More informationIBM'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 informationSAP Predictive Analysis: Strategy, Value Proposition
September 10-13, 2012 Orlando, Florida SAP Predictive Analysis: Strategy, Value Proposition Charles Gadalla, Solution Management, SAP Business Intelligence Manavendra Misra, Chief Knowledge Officer, Cognilytics
More informationClient focused. Results driven. Ciber Retail Solutions
Client focused. Results driven. Ciber Retail Solutions Multi-Channel Retailing Retailers are confronted by a downturn in consumer spending, ever-tighter margins, emerging shopping patterns, empowered consumers
More informationWhitepaper. Power of Predictive Analytics. Published on: March 2010 Author: Sumant Sahoo
Published on: March 2010 Author: Sumant Sahoo 2009 Hexaware Technologies. All rights reserved. Table of Contents 1. Introduction 2. Problem Statement / Concerns 3. Solutions / Approaches to address the
More informationBanking On A Customer-Centric Approach To Data
Banking On A Customer-Centric Approach To Data Putting Content into Context to Enhance Customer Lifetime Value No matter which company they interact with, consumers today have far greater expectations
More informationVoice of the Customer: How to Move Beyond Listening to Action Merging Text Analytics with Data Mining and Predictive Analytics
WHITEPAPER Voice of the Customer: How to Move Beyond Listening to Action Merging Text Analytics with Data Mining and Predictive Analytics Successful companies today both listen and understand what customers
More informationThe Convergence of Data and Analytics in the Corporate World
The Convergence of Data and Analytics in the Corporate World Is it possible to draw parallels between commercial experience and tax applications? Jack Noonan President & Chief Executive Officer SPSS Inc.
More informationReal 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 informationGet 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 informationInsurance customer retention and growth
IBM Software Group White Paper Insurance Insurance customer retention and growth Leveraging business analytics to retain existing customers and cross-sell and up-sell insurance policies 2 Insurance customer
More informationBUSINESSOBJECTS 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 informationCONNECTING DATA WITH BUSINESS
CONNECTING DATA WITH BUSINESS Big Data and Data Science consulting Business Value through Data Knowledge Synergic Partners is a specialized Big Data, Data Science and Data Engineering consultancy firm
More information