Data Quality - business cases for Financial Institutions. Sava Vladov, VP Business Development, Adastra BG

Size: px
Start display at page:

Download "Data Quality - business cases for Financial Institutions. Sava Vladov, VP Business Development, Adastra BG"

Transcription

1 - business cases for Financial Institutions Sava Vladov, VP Business Development, Adastra BG 15 April 2014

2 What is this presentation about? Adastra earned A Russian bank 5M EUR due to smart x-selling and communication cost management A CEE bank 2.7M EUR due to better quality of contact information and so better contact rate in collections and A Polish bank 0.7M EUR due to better performance of application and behavioral scorecards An EU bank 80M EUR due to better quality of data in stress testing 2

3 Agenda Business Cases in Financial Institutions Credit Underwriting & Provisioning Summary Adastra fast facts 3

4 DQ Business cases in Financial Institutions Credit Underwriting & Stress testing Hugely underestimated, is the key driver of success in achieving Information Management investment benefits 4

5 Credit Underwriting & Stress Testing 5

6 CEE Bank Business Impacts summary Credit Underwriting & Stress testing Contact rate improvement due to DQ 5300 clients Response rate improvement due to better targeting and householding 289 clients Final conversion improved due to combined effects of targeting and contactibility 164 clients The P/L impact of the improved conversion rate of campaigns is 5 13% of EBIT 6

7 Model based targeting Case study from Russian bank Business improvement: More accurate targeting model for x-sell/upsell campaigns Credit Underwriting & Stress testing AS IS W/O BI Models All clients are contacted by direct mail TO BE With BI Models Communication costs managed according to propensity models and client value HIGH VALUE Profit Cost Higher profits due to more intensive communication 1.3M EUR 5M EUR MEDIUM VALUE No change at all 3.7M EUR LOW VALUE - Higher profit due to eliminated nonprofitable credits Profit increase Saved comm. cost BENEFIT 7

8 Improved Contact Information Case study from CEE Bank Business improvement: Customer data consolidation (match & merge), client contact information cleansing Credit Underwriting & Stress testing 25% of customer portfolio are duplicities Incorrect evaluation of product ownership Consequences Customers are targeted for a product that already have Customers are contacted more times with the same offer IMPACT: EUR per single campaign 57% of addresses are missing or invalid 55% of phone numbers are missing or are invalid Consequences Undelivered additional cost No communication at all lost opportunity IMPACT: EUR per single campaign 8

9 Credit Underwriting & Credit Underwriting & Stress Testing 9

10 Credit Underwriting & Summary of Business Impacts Credit Underwriting & Stress testing Higher real predictive power of scorecards Identification of economically connected entities Lower back-office expenses - less work will be redone Better identification of suspicious persons, partners, companies, addresses, phone numbers More accurate warning signals Higher hit rate, lower losses and investigation costs Underwriting 10

11 Scorecards Performance Improvement Case study from Polish Bank Business improvement: Increased application and behavioural scorecard performance Credit Underwriting & Stress testing Due to the limited availability of historical data, the scorecard s performance is lower Lower scorecard performance means lower accuracy in underwriting decision making Application SC (walk-ins) Current state Improved GINI 35,5% 45% Lift** Annual risk loss 3.4M EUR 2.9M EUR Business case EUR Behavioral SCs (current clients) Current state Improved GINI 47.6% 60% 2,9 3,4 0,8 1,0 0,7 Lift** Annual risk loss 1M EUR 0.8M EUR Business case EUR Current risk loss (M EUR) Improved risk loss (M EUR) Business case (M EUR) 11

12 Fraud Reporting & Monitoring Case study from Russian Bank Business improvement: Fraud reporting & monitoring with warning signals calibrated to historical portfolio behaviour Credit Underwriting & Stress testing Prevention tools Statistical fraud scorecard Detection tools Concentrations (early delinquencies) Velocities Triggers calibrated on historical data Business impact Lower losses due to a more accurate model for identifying suspected cases of fraud Business impact Decreased losses due to early detection stopping the spread of fraud 7.1M EUR of profit Increased approval rate with the same risk cost 0.18M EUR of profit Detected fraud and stopped losses in shorter time 12

13 Credit Underwriting & Stress Testing 13

14 Better quality of contacts Case study from CEE Bank Credit Underwriting & Business improvement: Correct contact information about customers improves the efficiency of collections Stress testing 2 million (57%) active customer addresses missing Over 2.5 million (57%) personal records had invalid postal code information Nearly 1.9 million (55%) missing phone numbers from active customers Impossible to adequately identify all customers, which impacts ability to contact customer in collections 57% of missing contacts -10% in collections effectiveness 1.8M EUR p.a. in risk cost 14

15 Stress Testing Credit Underwriting & Stress Testing 15

16 of Case study from EU Bank Business improvement: Better quality of data entering the internal rating models brings the opportunity to decrease provisions Credit Underwriting & Stress testing Portfolio: Total balance: Total provisions: Consumer loans + Car loans 2 800M EUR 480M EUR attribute Fill rate Validity Impact of DQ Impact to provisions Rating, score 70% 99% Medium 29.6M EUR Delinquency bucket 97% 99% Medium 3.8M EUR Guarantor flag 100% 99% Small 0.4M EUR Committed/Uncommitted balance 100% 93% Small 6.8M EUR DTI 84% 100% Medium 5.5M EUR Origination channel 82% 99% Small 18.1M EUR Restructuring flag 85% 99% Medium 15M EUR TOTAL impact of DQ issues into provisions: 80.2M EUR 16

17 Summary Examples of Business Cases BC area Underwriting Stress testing Client contacts availability Single customer view Improved contact rate Better targeting due to householding Less comm. costs (avoid double calls) Better fraud prevention due to cleaner client information Improved collections efficiency Prediction models Better targeting thanks to PTB models Client value based communication More accurate decision making based on credit SC Improved efficiency due to segmentation models Lower provisions due to more accurate models 17

18 18 Adastra Fast Facts

19 Adastra solutions for Banking and Finance Customer Intelligence Business Intelligence Customer Retention & Loyalty Event Driven Marketing Acquisition Cross-sell Up-sell Segmentation Campaign Management MIS Dashboards KPIs and Information Intelligence Statutory Reporting IFRS Provisions Distribution Channel Management Financial & Management Consolidation Customer Insight/ Budgeting & Planning Adastra Bulgaria Ltd. Basel II Fraud Management Anti-Money Laundering Underwriting 38B Cherni vrah Blvd. Sofia 1407, Bulgaria Risk Intelligence 19

Customer Centricity Master Data Management and Customer Golden Record. Sava Vladov, VP Business Development, Adastra BG

Customer Centricity Master Data Management and Customer Golden Record. Sava Vladov, VP Business Development, Adastra BG Customer Centricity Master Data Management and Customer Golden Record Sava Vladov, VP Business Development, Adastra BG 23 April 2015 What is this presentation about? Customer-centricity for Banking and

More information

Banking on Business Intelligence (BI)

Banking on Business Intelligence (BI) Banking on Business Intelligence (BI) Building a business case for the Kenyan Banking Sector The new banking environment in Kenya is all about differentiating banking products, increased choices, security

More information

> Cognizant Analytics for Banking & Financial Services Firms

> 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 information

ABOUT US WHO WE ARE. Helping you succeed against the odds...

ABOUT US WHO WE ARE. Helping you succeed against the odds... ACCURACY DELIVERED ABOUT US WHO WE ARE BizAcuity is a fast growing Business intelligence strategy company, providing reliable, scalable and cost effective consultancy and services to clients across the

More information

Experian s UK Credit Bureau Scores. Version 1.6

Experian s UK Credit Bureau Scores. Version 1.6 Experian s UK Credit Bureau Scores Version 1.6 January 2014 About Experian Decision Analytics Experian Decision Analytics enterprise-wide solutions combine data intelligence, predictive analytics, decisionenabling

More information

Exploiting the Single Customer View to maximise the value of customer relationships

Exploiting the Single Customer View to maximise the value of customer relationships Exploiting the Single Customer View to maximise the value of customer relationships October 2011 Contents 1. Executive summary 2. Introduction 3. What is a single customer view? 4. Obstacles to achieving

More information

What is missing in campaign management today? Shaun Doyle VP Intelligent Marketing Solutions, SAS

What is missing in campaign management today? Shaun Doyle VP Intelligent Marketing Solutions, SAS What is missing in campaign management today? Shaun Doyle VP Intelligent Marketing Solutions, SAS Content What is campaign management? How has the technology evolved? Where are we today? What is missing?

More information

SmartBanker REDPORT INTERNATIONAL

SmartBanker REDPORT INTERNATIONAL Smart Analytics You Can Bank On The new age of data is transforming business, and financial institutions are grappling with growth and profitability challenges in large part due to the increasingly competitive

More information

Growing Customer Value, One Unique Customer at a Time

Growing 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 information

Successful marketing in today s challenging insurance environment. Acquire new customers. Postal databases

Successful marketing in today s challenging insurance environment. Acquire new customers. Postal databases CONSUMER INFORMATION SOLUTIONS Insurance Successful marketing in today s challenging insurance environment With more options available to your customers and more businesses competing for those customers,

More information

Using Analytics beyond Price Optimisation. Francisco Gómez-Alvado, Towers Perrin Marcus Looft, Earnix

Using Analytics beyond Price Optimisation. Francisco Gómez-Alvado, Towers Perrin Marcus Looft, Earnix Using Analytics beyond Price Optimisation Francisco Gómez-Alvado, Towers Perrin Marcus Looft, Earnix 1 Agenda Introduction Using PO techniques for improved business analytics Some business cases Discussion

More information

MARKETS & ISSUES DATA MANAGEMENT IN BANKING DATA MANAGEMENT IN BANKING UNISERV DATA MANAGEMENT

MARKETS & ISSUES DATA MANAGEMENT IN BANKING DATA MANAGEMENT IN BANKING UNISERV DATA MANAGEMENT UNISERV DATA MANAGEMENT MARKETS & ISSUES DATA MANAGEMENT IN BANKING DATA MANAGEMENT IN BANKING CHALLENGE New regulatory instruments such as Basel III mean that banks must now retain considerably more data

More information

Predicting & Preventing Banking Customer Churn by Unlocking Big Data

Predicting & Preventing Banking Customer Churn by Unlocking Big Data Predicting & Preventing Banking Customer Churn by Unlocking Big Data Making Sense of Big Data http://www.ngdata.com Predicting & Preventing Banking Customer Churn by Unlocking Big Data 1 Predicting & Preventing

More information

CONNECTING DATA WITH BUSINESS

CONNECTING 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

Insurance customer retention and growth

Insurance 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 information

Business Intelligence and Insurance. Major applications of business intelligence software in the insurance industry

Business Intelligence and Insurance. Major applications of business intelligence software in the insurance industry Business Intelligence and Insurance Major applications of business intelligence software in the insurance industry Business Intelligence and Insurance 1. Introduction...2 2. The Insurance Industry: Increasing

More information

Predicting & Preventing Banking Customer Churn by Unlocking Big Data

Predicting & Preventing Banking Customer Churn by Unlocking Big Data Predicting & Preventing Banking Customer Churn by Unlocking Big Data Customer Churn: A Key Performance Indicator for Banks In 2012, 50% of customers, globally, either changed their banks or were planning

More information

Customer Data Management. Breaking down data silos for improved business outcomes

Customer Data Management. Breaking down data silos for improved business outcomes Customer Data Management Breaking down data silos for improved business outcomes November 2011 Table of Contents 1 Executive summary 1 Introduction 2 Selling in Today s Complex B2B Climate 3 The Solution:

More information

OPTIMIZE SALES, SERVICE AND SATISFACTION WITH ORACLE DEALER MANAGEMENT

OPTIMIZE 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 information

Data Quality Management and Financial Services

Data Quality Management and Financial Services Data Quality Management and Financial Services Loretta O Connor Data Quality Sales Manager Data Quality Divion May 2007 1 PG 961 Content Introduction Defining the Data Quality Problem Solutions for Data

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

Vlassis 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 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 information

Exploiting the Single Customer View to Maximise the Value of Customer Relationships

Exploiting the Single Customer View to Maximise the Value of Customer Relationships Exploiting the Single Customer View to Maximise the Value of Customer Relationships An Experian briefing paper focusing on consumer financial services Contents Executive summary... pg 2 Introduction...

More information

Data 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 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 information

Decisioning for Telecom Customer Intimacy. Experian Telecom Analytics

Decisioning 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 information

May 30, 2008 Building The Business Case For Master Data Management MDM Projects Should Start By Aligning With Key Business Drivers

May 30, 2008 Building The Business Case For Master Data Management MDM Projects Should Start By Aligning With Key Business Drivers Building The Business Case For Master Data Management MDM Projects Should Start By Aligning With Key Business Drivers by Rob Karel and R Ray Wang with Kyle McNabb and Norman Nicolson EXECUTIVE SUMMARY

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

Some Statistical Applications In The Financial Services Industry

Some Statistical Applications In The Financial Services Industry Some Statistical Applications In The Financial Services Industry Wenqing Lu May 30, 2008 1 Introduction Examples of consumer financial services credit card services mortgage loan services auto finance

More information

The 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 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 information

Business analytics for banking

Business 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 information

GROWTH BY COMBINING BEST PRACTICES

GROWTH BY COMBINING BEST PRACTICES GROWTH BY COMBINING BEST PRACTICES L. Lovaglio General Manager at Bank Pekao AGENDA Poland macroeconomic and banking sector scenario The creation of New Pekao New Pekao strategic initiatives Strategy for

More information

Industry models for financial markets. The IBM Financial Markets Industry Models: Greater insight for greater value

Industry models for financial markets. The IBM Financial Markets Industry Models: Greater insight for greater value Industry models for financial markets The IBM Financial Markets Industry Models: Greater insight for greater value Executive summary Changes in market mechanisms have led to a rapid increase in the number

More information

ACHIEVING YOUR SINGLE CUSTOMER VIEW

ACHIEVING YOUR SINGLE CUSTOMER VIEW ACHIEVING YOUR SINGLE CUSTOMER VIEW STEPS TO PREPARING A SINGLE CUSTOMER VIEW Can you really help your customer? Your organisation s goal is to make the life of your customers easier. In order to best

More information

The Case for Commercial Data The Time to Act is Now

The Case for Commercial Data The Time to Act is Now Today, we have access to a vast amount of customer data that can be used to power sales and marketing efforts. That may not be the case tomorrow. behind. Currently, regulations for customer data are looser

More information

Why is Master Data Management getting both Business and IT Attention in Today s Challenging Economic Environment?

Why is Master Data Management getting both Business and IT Attention in Today s Challenging Economic Environment? Why is Master Data Management getting both Business and IT Attention in Today s Challenging Economic Environment? How Can You Gear-up For Your MDM initiative? Tamer Chavusholu, Enterprise Solutions Practice

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

Big Data lisää älyä tiedosta

Big Data lisää älyä tiedosta 2011 Tieto Corporation Big Data lisää älyä tiedosta ebusiness Forum 21.5.2013 Ilkka Korkiakoski VP Financial Services Agenda Megatrends and needs for Big Data What is the value of Big Data? Use scenarios

More information

Auto Days 2011 Predictive Analytics in Auto Finance

Auto Days 2011 Predictive Analytics in Auto Finance Auto Days 2011 Predictive Analytics in Auto Finance Vick Panwar SAS Risk Practice Copyright 2010 SAS Institute Inc. All rights reserved. Agenda Introduction Changing Risk Landscape - Key Drivers and Challenges

More information

SINGLE DONOR VIEW FOR CRM SYSTEMS ESTABLISHING A COMPREHENSIVE VIEW OF DONOR INTERACTIONS ACROSS YOUR ORGANISATION

SINGLE DONOR VIEW FOR CRM SYSTEMS ESTABLISHING A COMPREHENSIVE VIEW OF DONOR INTERACTIONS ACROSS YOUR ORGANISATION SINGLE DONOR VIEW FOR CRM SYSTEMS ESTABLISHING A COMPREHENSIVE VIEW OF DONOR INTERACTIONS ACROSS YOUR ORGANISATION Why is Single Donor View important in a CRM environment? CRM is becoming more and more

More information

Drive optimized customer interaction at the point of contact, based on predicted outcomes and behavior to achieve desired results.

Drive optimized customer interaction at the point of contact, based on predicted outcomes and behavior to achieve desired results. 1 Drive optimized customer interaction at the point of contact, based on predicted outcomes and behavior to achieve desired results. 2 3 Today s customers live out loud Age of the Empowered Customer Organizations

More information

Enterprise Data Quality

Enterprise Data Quality Enterprise Data Quality An Approach to Improve the Trust Factor of Operational Data Sivaprakasam S.R. Given the poor quality of data, Communication Service Providers (CSPs) face challenges of order fallout,

More information

Predictive Analytics for Donor Management

Predictive 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 information

Increasing Retail Banking Profitability through CRM: the UniCredito Italiano Case History

Increasing Retail Banking Profitability through CRM: the UniCredito Italiano Case History Increasing Retail Banking Profitability through CRM: the UniCredito Italiano Case History Giorgio Redemagni Marketing Information Systems Manager Paris, 2002 June 11-13 UNICREDITO ITALIANO GROUP OVERVIEW

More information

Span Global Services Marketing and Data Management Solutions

Span Global Services Marketing and Data Management Solutions Span Global Services and Data Management Solutions Customer Acquisition Customer Retention Customer Loyalty A Compete Package of Data Management products from Span Global Services Call Us: 877-837-4884

More information

Helping retailers maximise customer lifetime value

Helping retailers maximise customer lifetime value HTK Horizon for Magento Helping retailers maximise customer lifetime value As personalisation becomes increasingly important, marketers need a deeper understanding of each customer to drive loyalty and

More information

ElegantJ BI. White Paper. Operational Business Intelligence (BI)

ElegantJ BI. White Paper. Operational Business Intelligence (BI) ElegantJ BI Simple. Smart. Strategic. ElegantJ BI White Paper Operational Business Intelligence (BI) Integrated Business Intelligence and Reporting for Performance Management, Operational Business Intelligence

More information

Experian Public Sector

Experian Public Sector Experian Public Sector Making effective use of data to aid collection 30 th June 2009 Experian Limited 2009. All rights reserved. Experian and the marks used herein are service marks or registered trademarks

More information

QlikView for Telecommunications. Delivering Unprecedented Customer Intelligence

QlikView for Telecommunications. Delivering Unprecedented Customer Intelligence QlikView for Telecommunications Delivering Unprecedented Customer Intelligence QlikView for Telecommunications: Delivering unprecedented Customer Intelligence Collaboration, visibility and efficiency:

More information

BUILDING LIFETIME VALUE WITH SEGMENTATION

BUILDING LIFETIME VALUE WITH SEGMENTATION PRESENTS DATA DRIVEN BRAND MARKETING PART ONE YOUR DEFINITIVE GUIDE TO BUILDING LIFETIME VALUE WITH SEGMENTATION WHAT YOU D KNOW IF WE COULD TALK TO YOU Proving the Value of Marketing 1 2 3 4 5 6 SEE YOUR

More information

HOW CAN CABLE COMPANIES DELIGHT THEIR CUSTOMERS?

HOW CAN CABLE COMPANIES DELIGHT THEIR CUSTOMERS? HOW CAN CABLE COMPANIES DELIGHT THEIR CUSTOMERS? Many customers do not love their cable companies. Advanced analytics and causal modeling can discover why, and help to figure out cost-effective ways to

More information

Business analytics for insurance

Business analytics for insurance IBM Software Group White Paper Business Analytics Business analytics for insurance Four ways insurers are winning with analytics 2 Business analytics for insurance Abstract Insurance companies need smarter

More information

Call center success. Creating a successful call center experience through data

Call center success. Creating a successful call center experience through data Call center success Creating a successful call center experience through data CONTENTS Summary...1 Data and the call center...2 Operations...2 Business intelligence...2 Customer engagement...3 Poor data

More information

Survey Report. Business strategy and technology priorities in the wealth management industry. Examination of top US wealth management firms

Survey Report. Business strategy and technology priorities in the wealth management industry. Examination of top US wealth management firms Survey Report Business strategy and technology priorities in the wealth management industry Examination of top US wealth management firms Balaji Yellavalli Infosys Ltd. Jaroslaw E. Knapik Datamonitor In

More information

The Convergence of Data and Analytics in the Corporate World

The 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 information

CRM Presentation. 2013 VeriPark 1

CRM Presentation. 2013 VeriPark 1 CRM Presentation 2013 VeriPark 1 Agenda VeriPark introduction VeriTouch overview Single customer view Call center automation Complaints and service requests Master data management New customer enrollment

More information

Afni deploys predictive analytics to drive milliondollar financial benefits

Afni deploys predictive analytics to drive milliondollar financial benefits Afni deploys predictive analytics to drive milliondollar financial benefits Using a smarter approach to debt recovery to identify the best payers and focus collection efforts Overview The need Afni wanted

More information

Insurance Analytics. Driving insight to gain advantage. 11 March 2014. 2014 Deloitte Touche Tohmatsu

Insurance Analytics. Driving insight to gain advantage. 11 March 2014. 2014 Deloitte Touche Tohmatsu Insurance Analytics Driving insight to gain advantage 11 March 2014 Agenda What is Analytics? Using analytics to overcome challenges in the Insurance industry Retention Customer Segmentation Overcoming

More information

Big Data, Big Business Opportunities

Big Data, Big Business Opportunities ONE SOURCE. POWERFUL SOLUTIONS. : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : Big Data, Presented by: Mark Katibah, Senior Vice President, Director of Data & Analytics

More information

MDM for Banking Industry

MDM for Banking Industry MDM for Banking Industry Serene Corporation January,2012 2012 Serene Corporation All rights reserved. Business Objectives Increase Customer Profitability Acquire Customers With Better Business Potential

More information

Five Fundamental Data Quality Practices

Five Fundamental Data Quality Practices Five Fundamental Data Quality Practices W H I T E PA P E R : DATA QUALITY & DATA INTEGRATION David Loshin WHITE PAPER: DATA QUALITY & DATA INTEGRATION Five Fundamental Data Quality Practices 2 INTRODUCTION

More information

Segmentation and Data Management

Segmentation and Data Management Segmentation and Data Management Benefits and Goals for the Marketing Organization WHITE PAPER SAS White Paper Table of Contents Introduction.... 1 Benefits of Segmentation.... 1 Types of Segmentation....

More information

Business Intelligence and Financial Services. Major applications of business intelligence software in the financial services industry

Business Intelligence and Financial Services. Major applications of business intelligence software in the financial services industry Business Intelligence and Financial Services Major applications of business intelligence software in the financial services industry Business Intelligence and Financial Services 1. Introduction...2 2.

More information

Global Trends in Life Insurance: Claims

Global Trends in Life Insurance: Claims What you need to know LIFE INSURANCE Global Trends in Life Insurance: Claims Key claims trends and their implications for the life insurance industry Contents 1 Highlights 3 2 Introduction 4 3 Emerging

More information

QlikView for media. Delivering Unprecedented Customer Intelligence

QlikView for media. Delivering Unprecedented Customer Intelligence QlikView for media Delivering Unprecedented Customer Intelligence QLIKVIEW FOR MEDIA: DELIVERING UNPRECEDENTED CUSTOMER INTELLIGENCE Collaboration, visibility and effiiciency: necessities for efficient

More information

S&T - Company Presentation. April 2015

S&T - Company Presentation. April 2015 S&T - Company Presentation April 2015 About S&T AG S&T engineers Appliances for vertical markets Appliances comprise of dedicated hardware + combined software solutions Vertical niche solutions for Automation

More information

Customer Experience: Neue Wege im Salesprozess von Banken

Customer Experience: Neue Wege im Salesprozess von Banken Customer Experience: Neue Wege im Salesprozess von Banken Norbert Schweimanns Essen, 10. Juli 2007 Agenda 1 Integrated business model: Private & Business Clients 2 Directing customer within the Outbound

More information

Decisioning for Telecom Customer Intimacy. Experian Telecom Analytics

Decisioning 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 information

Effective Segmentation. Six steps to effective segmentation

Effective Segmentation. Six steps to effective segmentation Effective Segmentation Six steps to effective segmentation Segmentation is a powerful tool to help achieve your business strategy and drive higher value to your brand. Sure, I hear you say, we all know

More information

Data Management Services > Master data management: a critical cornerstone

Data Management Services > Master data management: a critical cornerstone COMMERCIAL INFORMATION SOLUTIONS Data Management Services > Master data management: a critical cornerstone in the success of your business By cleansing and enriching your customer, supplier and employee

More information

Data management for improved customer experience and higher returns

Data management for improved customer experience and higher returns Data management for improved customer experience and higher returns An Experian Whitepaper Data management for improved customer experience and higher returns - 1 Table of contents 1. Executive summary

More information

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Applied Business Intelligence Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Agenda Business Drivers and Perspectives Technology & Analytical Applications Trends Challenges

More information

Software AG Company Presentation Customer Experience Management(CEM) Differentiation, Differentiation

Software AG Company Presentation Customer Experience Management(CEM) Differentiation, Differentiation Software AG Company Presentation Customer Experience Management(CEM) Differentiation, Differentiation Speaker Name: Man Hui Speaker Title: Principal Solution Architect Date: 3 rd June 2014 Get There Faster

More information

IBM Business Analytics software for Insurance

IBM Business Analytics software for Insurance IBM Business Analytics software for Insurance Nischal Kapoor Global Insurance Leader - APAC 2 Non-Life Insurance in Thailand Rising vehicle sales and mandatory motor third-party insurance supported the

More information

Best Practices for Creating and Maintaining a Clean Database. An Experian QAS White Paper

Best Practices for Creating and Maintaining a Clean Database. An Experian QAS White Paper Best Practices for Creating and Maintaining a Clean Database An Experian QAS White Paper Best Practices for Creating and Maintaining a Clean Database Data cleansing and maintenance are critical to a successful

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

1. North America CRM Analytics Markets

1. North America CRM Analytics Markets Brochure More information from http://www.researchandmarkets.com/reports/363922/ North America CRM Analytics Markets Description: Shift from Product-centric to Customer-centric Strategies calls for Increased

More information

Finance. Acquire New Customers CONSUMER INFORMATION SOLUTIONS. Financial Insights Suite P$YCLE

Finance. Acquire New Customers CONSUMER INFORMATION SOLUTIONS. Financial Insights Suite P$YCLE CONSUMER INFORMATION SOLUTIONS Finance Successful marketing is highly challenging in today s competitive financial environment. With more options available to your customers and more businesses competing

More information

Where s my real ROI? White Paper #1 February 2014. expert Services

Where s my real ROI? White Paper #1 February 2014. expert Services Where s my real ROI? White Paper #1 February 2014 expert Services revenue costs The growing confidence of advertisers and agencies in mobile marketing requires an effective and veridical sort of ROI metrics.

More information

Macquarie Australia Conference

Macquarie Australia Conference Macquarie Australia Conference Veda Group Limited Nerida Caesar Chief Executive Officer & Managing Director May 2015 Important Notice This presentation contains general information about the activities

More information

Multi-Domain Master Data Management. Subhash Ramachandran VP, Product Management

Multi-Domain Master Data Management. Subhash Ramachandran VP, Product Management Multi-Domain Master Data Management Subhash Ramachandran VP, Product Management 8 June 2011 ProcessWorld 2011 2 DONT OPEN THE ENVELOPE! WAIT FOR THE SURPRISE CONTEST! 8 June 2011 ProcessWorld 2011 3 The

More information

Industry models for insurance. The IBM Insurance Application Architecture: A blueprint for success

Industry models for insurance. The IBM Insurance Application Architecture: A blueprint for success Industry models for insurance The IBM Insurance Application Architecture: A blueprint for success Executive summary An ongoing transfer of financial responsibility to end customers has created a whole

More information

WHITEPAPER. How to Credit Score with Predictive Analytics

WHITEPAPER. How to Credit Score with Predictive Analytics WHITEPAPER How to Credit Score with Predictive Analytics Managing Credit Risk Credit scoring and automated rule-based decisioning are the most important tools used by financial services and credit lending

More information

Pam Porter, Robin Odland and Edward Timberlake June 2013. Agenda. Introduction. Lending Lifecycle. Portfolio Management. Questions

Pam Porter, Robin Odland and Edward Timberlake June 2013. Agenda. Introduction. Lending Lifecycle. Portfolio Management. Questions Small Business Lending Best Practices Pam Porter, Robin Odland and Edward Timberlake June 2013 Agenda Introduction Lending Lifecycle Portfolio Management Questions 2 1 Who is new to Small Business Lending?

More information

Enhancing customer-centric strategies. An Experian Data Quality white paper

Enhancing customer-centric strategies. An Experian Data Quality white paper Enhancing customer-centric strategies An Experian Data Quality white paper Introduction The retail industry is slowly shifting the way in which contact data is collected, used, and prioritized. With this

More information

InfoGlobalData specialise in B2B Email Lists and Email Appending Services.

InfoGlobalData specialise in B2B Email Lists and Email Appending Services. InfoGlobalData specialise in B2B Email Lists and Email Appending Services. We provide high quality mailing lists for your email marketing needs. Our data intelligence service can provide valuable insight

More information

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview

Harness the value of information throughout the enterprise. IBM InfoSphere Master Data Management Server. Overview IBM InfoSphere Master Data Management Server Overview Master data management (MDM) allows organizations to generate business value from their most important information. Managing master data, or key business

More information

Microsoft Dynamics CRM Solutions for Retail Banking

Microsoft Dynamics CRM Solutions for Retail Banking Performance Microsoft Dynamics CRM Solutions for Retail Banking White Paper Setting new standards that enable retail banks to attract, retain, and service customers with superior speed, efficiency, and

More information

Warranty Fraud Detection & Prevention

Warranty 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 information

An Enterprise Framework for Business Intelligence

An 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 information

Predictive Analytics for Database Marketing

Predictive 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 information

Creating a Comprehensive Email Scientists Automotive Database

Creating a Comprehensive Email Scientists Automotive Database A Are You Using Email Marketing To Reach Your Automotive Customers and Prospects? 2012 Email Scientists. All rights reserved. www.emailscientists.com ARE YOU USING EMAIL MARKETING TO REACH YOUR AUTOMOTIVE

More information

Data Science & Big Data Practice

Data 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 information

Harness the power of data to drive marketing ROI

Harness the power of data to drive marketing ROI Harness the power of data to drive marketing ROI I need to get better results from my marketing......and improve my return on investment. Are you directing spend where it ll have the greatest effect? MAKING

More information

Data Analytical Framework for Customer Centric Solutions

Data Analytical Framework for Customer Centric Solutions Data Analytical Framework for Customer Centric Solutions Customer Savviness Index Low Medium High Data Management Descriptive Analytics Diagnostic Analytics Predictive Analytics Prescriptive Analytics

More information

Leveraging Information For Smarter Business Outcomes With IBM Information Management Software

Leveraging Information For Smarter Business Outcomes With IBM Information Management Software Leveraging Information For Smarter Business Outcomes With IBM Information Management Software Tony Mignardi WW Information Management Sales IBM Software Group April 1 2009 Agenda Our Smarter Planet and

More information

hybris Solution Brief HYBRIS MARKETING Market to an Audience of One

hybris Solution Brief HYBRIS MARKETING Market to an Audience of One hybris Solution Brief HYBRIS MARKETING Market to an Audience of One People are intuitive. A shop owner can meet a customer and immediately observe both explicit and implicit cues that signal that person

More information

Top 10 Predictive Use Cases and Customer Case Studies

Top 10 Predictive Use Cases and Customer Case Studies Top 10 Predictive Use Cases and Customer Case Studies Confidently anticipate and drive better business outcomes Pierre Leroux, Director Predictive Analytics 2015 SAP SE or an SAP affiliate company. All

More information

CUSTOMER RELATIONSHIP MANAGEMENT CONCEPTS AND TECHNOLOGIES

CUSTOMER RELATIONSHIP MANAGEMENT CONCEPTS AND TECHNOLOGIES CUSTOMER RELATIONSHIP MANAGEMENT CONCEPTS AND TECHNOLOGIES Chapter 1: Introduction to CRM Selected definitions of CRM 1 CRM is an information industry term for methodologies, software, and usually Internet

More information

Predictive Customer Intelligence

Predictive Customer Intelligence Sogeti 2015 Damiaan Zwietering zwietering@nl.ibm.com Predictive Customer Intelligence Customer expectations are driving companies towards being customer centric Find me Using visualization and analytics

More information