Predictive Analytics & Predictive Modeling December 2 3, Catherine Snyder Supervisor US Dealer Audit, Audit Services General Motors Company
|
|
- Beverley McKinney
- 8 years ago
- Views:
Transcription
1 Predictive Analytics & Predictive Modeling December 2 3, 2014 Catherine Snyder Supervisor US Dealer Audit, Audit Services General Motors Company
2 AGENDA Overview of General Motors Company Predictive Analytics Definition and References Dealer Risk Management & Optimization (DRMO) Model Key Takeaways DRMO Global Program Objectives Operating Environment Process Overview Risk Indicators and What Could Go Wrongs VIN / Warranty Claim Selection Process DRMO Model Development Keys to Success 2
3 THE NEW GENERAL MOTORS Top Global Automaker Sales of 9.7 million vehicles #1 in U.S.; #2 in China Fortune 7 company Sales in 120 Countries Production in 30 Countries 396 facilities touching 6 continents 219,000 Employees 21,000 Dealerships 3
4 GM TOP GLOBAL AUTOMAKER Sales in 120 Countries Production Locations in 30 Countries Percentage of deliveries by region 4
5 GM BRANDS Baojun Wuling Jiefang
6 6
7 7
8 Predictive Analytics 8
9 DEFINITION AND REFERENCES Business Analytics Defined Thomas H. Davenport, professor at Babson College Defines descriptive, predictive, and prescriptive analytics and when to use each. How Managers Should Use Data
10 PREDICTIVE ANALYTICS Encompasses various statistical techniques from modeling, machine learning, and data mining. Analyze current and historical facts, capture relationships between explanatory and predicted variables from past occurrences, to make predictions about the future, unknown, events, trends and behavior patterns. Accuracy and usability of results depend greatly on the rigor of data analysis and the quality of assumptions. 10
11 PREDICTIVE MODELS Capture relationships among many factors to enable assessment of risk or potential associated with a particular set of conditions, guiding decision for candidate transactions. Model the relationship between specific performance of a unit in a sample and one or more known attributes of the unit. Objective is to assess the likelihood that a similar unit in a different sample will exhibit the specific performance. Examples: Real-time Credit Card Transaction Predictive Model Credit Scoring Model Customer Relationship Management (CRM) Model Clinical Decision Support Systems Customer Retention/Silent Attrition Model Fraud Risk Assessment Model 11
12 PREDICTIVE ANALYTICAL TOOLS Alpine Data Labs BIRT Analytics Angoss KnowledgeSTUDIO IBM SPSS Statistics and IBM SPSS Modeler KXEN Modeler Mathematica MATLAB Minitab Oracle Data Mining (ODM) Pervasive Predixion Software Revolution Analytics SAP SAS and SAS Enterprise Miner STATA STATISTICA TIBCO FICO 12
13 13
14 14
15 Dealer Risk Management & Optimization (DRMO) Model 15
16 KEY TAKEAWAYS Use audit results to drive Investment in prevention activities Sell Win-Win Model examines 100% of the population, removes individual bias, and provides consistent results Combine datasets to improve risk assessment Integrate automated controls when you can No model is perfect Depending on the audit objectives: Predictive analytic is not always the answer Traditional audit approaches could be your best friends You may only need very few samples Be alert to opportunities 16
17 DRMO GLOBAL PROGRAM OBJECTIVES Implement global, common process to improve audit objectivity, effectiveness and efficiency Engage global subject matter experts Perform advanced analytics on 100 % of the claims to aggregate dollars-at-risk per dealer Allocate resources to highest risk transactions/dealers Refresh model based on audit results and changes Expedite identification of global issues and root cause analyses to facilitate global corrective actions and process improvement Consolidate risk profiles and audit results to provide insights for business and operational improvements Improve visibility of risk on a timely basis Provide interactive reporting and analytics Develop scorecard for monitoring effectiveness of risk management /optimization program 17
18 OPERATING ENVIRONMENT IN UNITED STATES 4,300 dealers 2.8 million vehicles delivered in 2013 Incentive/Warranty programs by brand/model Statutes of Limitation vary by states: 6, 9, 12, 18 and 24 months Fraud provisions and impact on audit rights vary by states 18
19 COMMON INCENTIVE PROGRAM PARAMETERS Who When Where What How 19
20 PROCESS OVERVIEW What Could Go Wrongs (WCGWs) Risk Indicators Model Evaluation Aggregate by Dealer Claim Data Claim- Level Risk Score Weighted At-Risk Amount (WARA) % of High Risk Claims Audit Plan Pull List Actual Audit Results 20
21 RISK INDICATORS / WHAT COULD GO WRONG What Could Go Wrong (WCGW) Identify common deviation reasons for claims Risk Indicators (RI) Evaluate claim attributes used to identify one or more of the WCGWs Perform calculations on each claim Compare against historical exceptions to identify the strength of correlation of each indicator, both individually and in various combinations (not all indicators or combinations of indicators are equal in their predictive power) Use in the scoring formula for a given claim if the indicators show strong historical correlation to exceptions Example Risk Indicator Description What Could Go Wrongs RI-IC-21 RI-WTY-5 Claim Date for a Program Across all Models: Box plot which shows high-level anomalies in claim dates across an entire incentive program. Abnormal claim volume: Identification of dealers claiming an abnormal percentage of warranty claims related to a particular part when compared to the full population of dealers. WCGW-IC-2 WCGW-IC-3 WCGW-IC-5 WCGW-IC-7 WCGW-IC-11 WCGW-WTY-1 WCGW-WTY-2 An incentive claim may be submitted and paid for an expired program or a program that has not yet begun. An incentive claim may be submitted and paid for an inapplicable model. An incentive claim may be submitted for an applicable program date where actual delivery was outside of the program's eligible period. An incentive code may be added to a claim submission after the original submission date in order to take advantage of a program or pocket an incentive and not pass it on to the customer. Vehicles may be reported as sold, but a sale has not actually occurred. Warranty claims are processed for repairs that did not occur. Warranty claims are processed for non-covered parts. WCGW-WTY-14 Warranty claims are processed for non-covered services. 21
22 EXAMPLES: WHAT COULD GO WRONGS Sales Incentive 40 WCGWs Incentives were claimed on deliveries that did not qualify Incentives were claimed for customers that did not qualify Vehicles not sold may be reported as sold Incentives may be claimed for deliveries outside the eligible period Dealer may misreport sales to manipulate vehicle allocation Warranty 30 WCGWs Multiple claims were submitted for the same repair using different problem codes or operation codes Warranty claims were processed for non-covered services Warranty claims were processed for repairs that did not occur Warranty claims were processed for vehicles in dealer possession for work that is not required Dealers submitted more hours for a service than actually incurred 22
23 EXAMPLES: INCENTIVE RISK INDICATORS % of Incentive Claims to Market Share Comparison by Geographic Region Analyze claims monthly to determine which dealers claim more incentives than their predicted relative geographic market share of deliveries Dealer Penetration % Compared to National Average Penetration % Monthly comparison of total delivery % per incentive code at a dealership to the national average % on a brand-by-brand basis High/Low outliers are flagged Abnormal Customer Names Customer names similar to the dealer name Deliveries made to the same customer Abnormal Amount of Incentives Claimed on Vehicle Deliveries Vehicles with an abnormal amount of incentives claimed when compared to average number of incentives claimed/vehicle for specific incentive category Volume of Deliveries with Claims at Month-End Claims for deliveries where the dealer s delivery volume in the last part of the month appeared abnormal compared to other dealers 23
24 EXAMPLES: WARRANTY RISK INDICATORS Frequency of problem code use Identification of dealers using specific problem codes at a higher percentage of total claims than the overall dealer population. Flags claims related to those dealer/problem code combinations as high risk Abnormal claim volume Identification of dealers claiming an abnormal percentage of warranty claims related to a particular part when compared to the full population of dealers Abnormal labor hours by operation and problem code Box plot which shows the total hours (regular labor and other labor hours) for each operation and problem code combination to identify claims that are outliers when compared to the population Labor only claims abnormal for problem/operation code combination Identification of specific labor-only claims where it is abnormal for that particular claim type to be labor-only based on the total population of claims with a specific problem/operation code combination Warranty claims for vehicles in dealer possession Identification of claims for vehicles without a warranty start date and where vehicle mileage is less than
25 VIN/WARRANTY CLAIM SELECTION PROCESS New claims loaded into the database Risk indicator values calculated for all claims Risk score calculated for each claim based on the risk indicator values and incentive category or warranty type scoring function (model) Different incentive categories / warranty types may have unique risk score functions (models) Average risk score for each VIN / Warranty Claim calculated VINs / Warranty Claims with higher risk scores predict a higher exception rate based on historical patterns and behaviors VINs / Warranty Claims with highest risk scores flagged as selected as these pose the highest likelihood of exception Model ranks dealers for audit based on having the highest aggregate Weighted At-Risk Amount (WARA) for highest risk VINs (Incentives) or having the highest % of high risk warranty claims (Warranty) NOTE: WARA = claim risk score (probability of failure) * claim amount 25
26 AUDIT PLANNING PROCESS Model ranks dealers for audit based on number of high risk Sales Incentive/Warranty claims 26
27 AUDIT PULL LISTS The Claim Risk Score and Top 3 Primary Risk Indicators are provided in the Audit Pull List 27
28 28
29 KEYS TO SUCCESS Understand the program objectives, rules, risks and processes Leverage diversified knowledge, experience and skills on development and feedback Apply agile model development approach to respond to changes and new information Make the model user-friendly Use visualization to facilitate communication Analyze, learn, discuss, improve, and validate 29
30 30
What is Data Mining? Data Mining (Knowledge discovery in database) Data mining: Basic steps. Mining tasks. Classification: YES, NO
What is Data Mining? Data Mining (Knowledge discovery in database) Data Mining: "The non trivial extraction of implicit, previously unknown, and potentially useful information from data" William J Frawley,
More informationThe Forrester Wave : Customer Analytics Solutions, Q4 2012
FOR: Customer Intelligence Professionals The Forrester Wave : Customer Analytics Solutions, Q4 2012 by srividya sridharan, October 26, 2012 key TakeaWays Customer analytics Users Want help across The analytics
More informationTHE ANALYTICS HUB LEVERAGING A SHARED SERVICES MODEL TO UNLOCK BIG DATA. Thomas Roland Managing Director. David Roggen Director CONTENTS
THE ANALYTICS HUB LEVERAGING A SHARED SERVICES MODEL TO UNLOCK BIG DATA David Roggen Director Thomas Roland Managing Director CONTENTS Shared Services Today 2 What Is an Analytics Hub? 3 Analytics Hub
More informationPredictive Analytics: Seeing the Whole Picture
Webinar will begin shortly Predictive Analytics: Seeing the Whole Picture Presented by Caserta Concepts, Zementis, FICO June 18, 2015 Copyright 2015 Zementis, Inc. All rights reserved. 2 Predictive Analytics:
More informationSome 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 informationPredictive 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 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 informationSAP 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 information2010 Data Miner Survey Highlights
Predictive Analytics World Washington, DC October 2010 2010 Data Miner Survey Highlights The Views of 735 Data Miners Karl Rexer, PhD President Rexer Analytics www.rexeranalytics.com 2010 Data Miner Survey:
More informationAccenture Parts Optimization: Warranty Services Gaining Control Over Warranty Costs
Accenture Parts Optimization: Warranty Services Gaining Control Over Warranty Costs 2 Accenture Warranty Optimization Services: Gaining Control Over Warranty Costs The numbers are compelling: On average,
More informationAdvanced Analytics: The Hurwitz Victory Index Report
Hurwitz ViCtOrY index Advanced Analytics: The Hurwitz Victory Index Report SAP Hurwitz Index d o u b l e v i c t o r Marcia Kaufman COO and Principal Analyst Daniel Kirsch Senior Analyst Table of Contents
More informationKnowledgeSEEKER 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 informationAdvanced Analytics: The Hurwitz Victory Index Report
Hurwitz ViCtOrY index Advanced Analytics: The Hurwitz Victory Index Report IBM Hurwitz Index d o u b l e v i c t o r Marcia Kaufman COO and Principal Analyst Daniel Kirsch Senior Analyst Table of Contents
More informationSAS Fraud Framework for Banking
SAS Fraud Framework for Banking Including Social Network Analysis John C. Brocklebank, Ph.D. Vice President, SAS Solutions OnDemand Advanced Analytics Lab SAS Fraud Framework for Banking Agenda Introduction
More informationKnowledgeSTUDIO 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 informationManaging your error-prone spreadsheets
IBM Software Business Analytics IBM Cognos Express Managing your error-prone spreadsheets Create more accurate plans, budgets and forecasts with integrated planning tools for midsize businesses 2 Managing
More informationGrow 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 informationMarketing Analytics Technology Overview
Marketing Analytics Technology Overview Disclaimer: All logos, photos, etc. used in this presentation are the property of their respective copyright owners and are used here for educational purposes only
More informationBrochure More information from http://www.researchandmarkets.com/reports/2637612/
Brochure More information from http://www.researchandmarkets.com/reports/2637612/ Predictive Analytics Market [(Fraud, Risk, Marketing, Operations), Verticals (BFSI, Healthcare, Environment, Government
More informationWHITEPAPER. Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk
WHITEPAPER Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk Overview Angoss is helping its clients achieve significant revenue growth and measurable return
More informationBig Data, Data Analytics, and Data Visualization building your knowledge and expertise. September 15, 2015
+ Big Data, Data Analytics, and Data Visualization building your knowledge and expertise September 15, 2015 Today s Agenda 2! Kickoff: Glossary of Terms! Data analytics! Data visualization! Big Data! Body
More informationOracle Real Time Decisions
A Product Review James Taylor CEO CONTENTS Introducing Decision Management Systems Oracle Real Time Decisions Product Architecture Key Features Availability Conclusion Oracle Real Time Decisions (RTD)
More informationData Mining/Fraud Detection. April 28, 2014 Jonathan Meyer, CPA KPMG, LLP
Data Mining/Fraud Detection April 28, 2014 Jonathan Meyer, CPA KPMG, LLP 1 Agenda Overview of Data Analytics & Fraud Getting Started with Data Analytics Where to Look & Why? What is Possible? 2 D&A Business
More informationOPTIMIZE SALES, SERVICE AND SATISFACTION WITH ORACLE DEALER MANAGEMENT
OPTIMIZE SALES, SERVICE AND SATISFACTION WITH ORACLE DEALER MANAGEMENT KEY FEATURES Manage leads, configure vehicles, prepare quotes, submit invoice and process orders Capture customer, vehicle and service
More informationWarranty Fraud Detection & Prevention
Warranty Fraud Detection & Prevention Venky Rao North American Predictive Analytics Segment Leader Agenda IBM SPSS Predictive Analytics for Warranties: Case Studies Why address the Warranties process:
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 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 informationWhite Paper May 2009. Seven reports every supply chain executive needs Supply Chain Performance Management with IBM
White Paper May 2009 Seven reports every supply chain executive needs Supply Chain Performance Management with IBM 2 Contents 3 Business problems 3 Business drivers 4 The solution IBM Cognos SCPM Seven
More informationPortrait Interaction Optimizer TM. Convert inbound interactions into revenue and retention opportunities
Portrait Interaction Optimizer TM Convert inbound interactions into revenue and retention opportunities Deliver real-time best-next-action recommendations to each customer, wherever and whenever they choose
More informationChina Grand Auto: Partnering with SAP on a State-of-the-Art Platform for a Multibrand Dealer Group
2015 SAP SE or an SAP affiliate company. All rights reserved. China Grand Auto: Partnering with SAP on a State-of-the-Art Platform for a Multibrand Dealer Group Company China Grand Automotive Services
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 informationBest Practices for Leveraging Business Analytics in Today s and Tomorrow s Insurance Sector
Best Practices for Leveraging Business Analytics in Today s and Tomorrow s Insurance Sector Mark B. Gorman Principal, Mark B. Gorman & Associates LLC January 2009 Executive Summary Sponsored by Report
More informationAnalytics 2013. A survey on analytic usage, trends, and future initiatives. Research conducted and written by:
Analytics 2013 A survey on analytic usage, trends, and future initiatives Research conducted and written by: Lavastorm Analytics A global analytics software company that enables a new, agile way to analyze,
More informationText Analytics Beginner s Guide. Extracting Meaning from Unstructured Data
Text Analytics Beginner s Guide Extracting Meaning from Unstructured Data Contents Text Analytics 3 Use Cases 7 Terms 9 Trends 14 Scenario 15 Resources 24 2 2013 Angoss Software Corporation. All rights
More informationNeubrain University. Business Analytics. Training Classes
Page0 Neubrain University Business Analytics Training Classes *Classes are subject to cancellation if minimum student requirements are not met. Please contact inquiries@neubrain.com to register. Page1
More informationChapter 7: Data Mining
Chapter 7: Data Mining Overview Topics discussed: The Need for Data Mining and Business Value The Data Mining Process: Define Business Objectives Get Raw Data Identify Relevant Predictive Variables Gain
More informationON Semiconductor identified the following critical needs for its solution:
Microsoft Business Intelligence Microsoft Office Business Scorecards Accelerator Case study Harnesses the Power of Business Intelligence to Drive Success Execution excellence is an imperative in order
More informationEfficiency and transparency Jaguar Land Rover
www.pwc.co.uk Efficiency and transparency Jaguar Land Rover How Integrated Planning and Enterprise Performance Management is supporting a remarkable success story. October 2013 Industry Automotive Geography
More informationHow to Optimize Your Data Mining Environment
WHITEPAPER How to Optimize Your Data Mining Environment For Better Business Intelligence Data mining is the process of applying business intelligence software tools to business data in order to create
More informationWaste Fleet Safety: Tips and Tools to Ensure Safe Driving. White Paper. www.fleetmind.com
Waste Fleet Safety: Tips and Tools to Ensure Safe Driving White Paper www.fleetmind.com Table of Contents Introduction 1 CSA 2010 2 Fleet safety planning 3 Influencing driver behavior 5 The required tools
More informationCorporate Performance Management Framework
Version 1.0 Copyright 2004 Answerport, Inc. Table of Contents Table of Contents... 2 Conceptual Overview... 3 Conceptual Overview Diagram... 4 The Foundation... 4 Analytic Presentation Layer... 5 Reports...
More informationIBM 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 informationUsing Analytics to detect and prevent Healthcare fraud. Copyright 2010 SAS Institute Inc. All rights reserved.
Using Analytics to detect and prevent Healthcare fraud Copyright 2010 SAS Institute Inc. All rights reserved. Agenda Introductions International Fraud Trends Overview of the use of Analytics in Healthcare
More informationPredictive 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 informationKroll Ontrack Data Analytics. Forensic analysis and visualization of complex data sets to provide intelligence around investigations
Trade Date: 2013-08-14 11:57:00 Sum of Total Value: 287,663,728 Trade Date: 2013-08-14 11:51:00 Trader Name: Susan Wright Sum of Total Value: 443,382,018 Kroll Ontrack Data Analytics Trade Date: 2013-08-14
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 informationWorldwide Business Analytics Software 2014 2018 Forecast and 2013 Vendor Shares
Market Analysis Worldwide Business Analytics Software 2014 2018 Forecast and 2013 Vendor Shares Dan Vesset David Schubmehl Mary Wardley Brian McDonough Alys Woodward Carl W. Olofson Pages 1-9 Worldwide
More informationEasy Execution of Data Mining Models through PMML
Easy Execution of Data Mining Models through PMML Zementis, Inc. UseR! 2009 Zementis Development, Deployment, and Execution of Predictive Models Development R allows for reliable data manipulation and
More informationBusiness Analytics Case Studies with Customer Focus
Business Analytics Case Studies with Customer Focus Dr. Onur Ulgen President, Advanced Business Analytics (ABA) www.advancedba.com/ Agenda What is Data Analytics Analytics Initiatives ABA Team Key Takeaways
More informationTransforming Field Team Productivity in the Retail Market
Transforming Field Team Productivity in the Retail Market We Work Where You Work The first step in transforming the productivity of any retail field team is to establish what success looks like, and ensure
More informationVehicle Sales Management
Solution in Detail Automotive Executive Summary Contact Us Vehicle Sales Optimizing Your Wholesale Business Efficient Sales Collaborative Operation Faced with declining margins, automotive sales organizations
More informationMaking critical connections: predictive analytics in government
Making critical connections: predictive analytics in government Improve strategic and tactical decision-making Highlights: Support data-driven decisions using IBM SPSS Modeler Reduce fraud, waste and abuse
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 informationAttaining Supply Chain Analytical Literacy. Sr. Director of Analytics Wal Mart (Bentonville, AR)
Attaining Supply Chain Analytical Literacy Rhonda R. Lummus F. Robert Jacobs Indiana University Bloomington Kelley School of Business Sr. Director of Analytics Wal Mart (Bentonville, AR) The Senior Director
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 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 informationanalytics+insights for life science Descriptive to Prescriptive Accelerating Business Insights with Data Analytics a lifescale leadership brief
analytics+insights for life science Descriptive to Prescriptive Accelerating Business Insights with Data Analytics a lifescale leadership brief The potential of data analytics can be confusing for many
More informationCase Study: How Volvo Uses Advanced Automation to Deliver Relevant Buying Stage Content to Customers and Keep the Sales Force Advised
Case Study: How Volvo Uses Advanced Automation to Deliver Relevant Buying Stage Content to Customers and Keep the Sales Force Advised John Johnston ebusiness Marketing Manager Volvo Construction Equipment
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 informationPreserving and Growing Value Through Enterprise Risk Management
SAP Solution in Detail SAP Solutions for Governance, Risk, and Compliance SAP Risk Management Preserving and Growing Value Through Enterprise Risk Management Table of Contents 3 Quick Facts 4 Understanding
More informationA Capability Model for Business Analytics: Part 2 Assessing Analytic Capabilities
A Capability Model for Business Analytics: Part 2 Assessing Analytic Capabilities The first article of this series presented the capability model for business analytics that is illustrated in Figure One.
More informationPredictive Maintenance for Government
Predictive Maintenance for How to prevent asset failure, control maintenance costs and anticipate budget needs Highlights Predictive maintenance helps government agencies automatically detect equipment
More informationV E N D O R P R O F I L E. V e r i x P r i v a t e V e n d o r W a t c h l i s t P r o f i l e I D C O P I N I O N
V E N D O R P R O F I L E V e r i x P r i v a t e V e n d o r W a t c h l i s t P r o f i l e Dan Yachin Ryan Patterson I D C O P I N I O N Global Headquarters: 5 Speen Street Framingham, MA 01701 USA
More informationKPI, OEE AND DOWNTIME ANALYTICS. An ICONICS Whitepaper
2010 KPI, OEE AND DOWNTIME ANALYTICS An ICONICS Whitepaper CONTENTS 1 ABOUT THIS DOCUMENT 1 1.1 SCOPE OF THE DOCUMENT... 1 2 INTRODUCTION 2 2.1 ICONICS TOOLS PROVIDE DOWNTIME ANALYTICS... 2 3 DETERMINING
More informationbirt Analytics data sheet Reduce the time from analysis to action
Reduce the time from analysis to action BIRT Analytics is the newest addition to ActuateOne. This new analytics product is fast and agile, and adds to the already rich Actuate BIRT product lineup the simpleto-use
More informationr e y n o l d s a n d r e y n o l d s IntelliPath Dealership-Wide Solutions for ERA U.S. and Canada Dealership-wide Solutions for ERA
r e y n o l d s a n d r e y n o l d s IntelliPath Dealership-Wide Solutions for ERA U.S. and Canada Dealership-wide Solutions for ERA IntelliPath Master one-to-one customer marketing, build lasting customer
More informationPREDICTIVE ANALYTICS IN FRAUD
PREDICTIVE ANALYTICS IN FRAUD Click Scott to White edit Master subtitle style Business Development Manager Why predict? Organizations that use predictive business performance metrics will increase their
More informationPREDICTIVE ANALYTICS FOR EVERYONE: EASY WAYS TO USE THE DATA YOU HAVE TO PREDICT WHAT CUSTOMERS WILL DO NEXT
PREDICTIVE ANALYTICS FOR EVERYONE: EASY WAYS TO USE THE DATA YOU HAVE TO PREDICT WHAT CUSTOMERS WILL DO NEXT The term Predictive Analytics sounds scientific and let s be honest a little scary. But as eventually
More informationBrochure More information from http://www.researchandmarkets.com/reports/3339521/
Brochure More information from http://www.researchandmarkets.com/reports/3339521/ Predictive and Prescriptive Analytics Market (2013-2018) : By Industry (Finance & Credit, Banking & Investment, Retail,
More informationCustomer Master Data: Common Challenges and Solutions
Customer Master Data: Common Challenges and Solutions By Will Crump President, DATUM LLC Executive Summary Master data within an enterprise is typically segmented by domain, or a category of related data
More informationData analytics and workforce strategies New insights for performance improvement and tax efficiency
Data analytics and workforce strategies New insights for performance improvement and tax efficiency Leading organizations today are shaping effective workforce strategies through the use of data analytics.
More informationData 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 informationTop 5 Transformative Analytics Applications in Retail
Top 5 Transformative Analytics Applications in Retail Learn how you can boost your bottom line and acquire engaged, happy customers with actionable insight from the world s most comprehensive analytics
More informationBusiness Analytics and Data Visualization. Decision Support Systems Chattrakul Sombattheera
Business Analytics and Data Visualization Decision Support Systems Chattrakul Sombattheera Agenda Business Analytics (BA): Overview Online Analytical Processing (OLAP) Reports and Queries Multidimensionality
More informationIBM Tivoli Netcool network management solutions for enterprise
IBM Netcool network management solutions for enterprise The big picture view that focuses on optimizing complex enterprise environments Highlights Enhance network functions in support of business goals
More informationIntroduction. Background
Predictive Operational Analytics (POA): Customized Solutions for Improving Efficiency and Productivity for Manufacturers using a Predictive Analytics Approach Introduction Preserving assets and improving
More informationHow To Audit A Company
INTERNATIONAL STANDARD ON AUDITING 315 IDENTIFYING AND ASSESSING THE RISKS OF MATERIAL MISSTATEMENT THROUGH UNDERSTANDING THE ENTITY AND ITS ENVIRONMENT (Effective for audits of financial statements for
More informationAUTO HISTORY. Resources: Check the vehicle history report using the car s VIN number.
This guide was created to help you with your first motor vehicle transaction and to make you aware of the many facets of the car buying process. Hopefully, with the help of this guide, your car purchasing
More informationWhite Paper February 2009. IBM Cognos Supply Chain Analytics
White Paper February 2009 IBM Cognos Supply Chain Analytics 2 Contents 5 Business problems Perform cross-functional analysis of key supply chain processes 5 Business drivers Supplier Relationship Management
More informationWorking 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 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 informationManage student performance in real time
Manage student performance in real time Predict better academic outcomes with IBM Predictive Analytics for Student Performance Highlights Primary and secondary school districts nationwide are looking for
More informationMaking Every Project Business a Best-Run Business
SAP Functions in Detail SAP Business Suite SAP Commercial Project Management Making Every Project Business a Best-Run Business Table of Contents 3 Quick Facts 4 Facilitating Optimal Project Delivery for
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 informationCurrent Challenges. Predictive Analytics: Answering the Age-Old Question, What Should We Do Next?
Predictive Analytics: Answering the Age-Old Question, What Should We Do Next? Current Challenges As organizations strive to meet today s most pressing challenges, they are increasingly shifting to data-driven
More informationRedefining Customer Analytics
SAP Brief SAP Customer Engagement Intelligence Objectives Redefining Customer Analytics Making personalized connections with customers in real time Making personalized connections with customers in real
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 informationClaims management for insurance: Reduce costs while delivering more responsive service.
Claims management for insurance: Reduce costs while delivering more responsive service. > SPEED CLAIMS CYCLE TIMES > ENRICH CUSTOMER EXPERIENCES > STREAMLINE RELATIONSHIPS WITH VENDORS > REDUCE FRAUD-RELATED
More informationIt s about you What is performance analysis/business intelligence analytics? What is the role of the Performance Analyst?
Performance Analyst It s about you Are you able to manipulate large volumes of data and identify the most critical information for decision making? Can you derive future trends from past performance? If
More informationUnderstanding the Entity and Its Environment and Assessing the Risks of Material Misstatement
Understanding the Entity and Its Environment 1667 AU Section 314 Understanding the Entity and Its Environment and Assessing the Risks of Material Misstatement (Supersedes SAS No. 55.) Source: SAS No. 109.
More informationDriving Business Value with Big Data and Analytics
Emily Plachy informsny September 17, 2014 Driving Business Value with Big Data and Analytics Business Analytics Transformation Making IBM a Smarter Enterprise Agenda Case studies Human Resources: Detect
More informationManaging the Next Best Activity Decision
Managing the Next Best Activity Decision James Taylor CEO, Decision Management Solutions Treating customers right, every time More information at: www.decisionmanagementsolutions.com No matter what the
More informationBI Platforms User Survey, 2011: Customers Rate Their BI Platform Vendors
BI Platforms User Survey, 2011: Customers Rate Their BI Platform Vendors Gartner RAS Core Research Note G00211769, Rita L. Sallam, 4 April 2011, RA1 07132011 Gartner recently surveyed business intelligence
More informationEMEA CRM Analytics Suite Magic Quadrant 3Q02
Markets, J. Radcliffe, G. Herschel Research Note 26 September 2002 EMEA CRM Analytics Suite Magic Quadrant 3Q02 SAS Institute leverages its strength in analytics to take the lead in the immature CRM analytics
More informationAssuring Global Reference Data Distribution on a Virtual Appliance
White Paper Assuring Global Reference Data Distribution on a Virtual Appliance Predictive Analytics for IT in Action January 2012 Introduction Reference data has always been critical to the trading workflow
More informationBusiness Intelligence Solutions for Gaming and Hospitality
Business Intelligence Solutions for Gaming and Hospitality Prepared by: Mario Perkins Qualex Consulting Services, Inc. Suzanne Fiero SAS Objective Summary 2 Objective Summary The rise in popularity 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 informationStatistical Sales Forecasting using SAP BPC
Statistical Sales Forecasting using SAP BPC Capgemini s unique statistical sales forecasting solution integrated with SAP BPC 10.0 helps global fortune 1000 company built robust & accurate sales forecasting
More information