Deriving Value From Big Data Visual, Predictive, GeoLocation and Event Analytics

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Deriving Value From Big Data Visual, Predictive, GeoLocation and Event Analytics"

Transcription

1 Deriving Value From Big Data Visual, Predictive, GeoLocation and Event Analytics Nick Young Solutions Consultant - APJ

2 Analytics Insight to Action Value Grow Revenue Reduce Risk Analytics Insight to Action Analytics Journey Visual Analytics and Dashboards Predictive & Prescriptive Analytics GeoSpatial Analytics Event Analytics Wrap-Up / Questions Putting it all together with some examples Increase Productivity ROI

3 Insight to Action Batch Analysis Real-Time Analysis Process Zone Strategic Tactical Operations Execution Time Increment Quarters / Years Months / Quarters Hours / Days / Weeks Seconds/ Minutes Importance of Alerts Not Important Important Necessary Value to the Organization

4 Insight to Action Analytics Self-service Dashboards Predictive and Prescriptive Analytics Event Processing Measure Diagnose Predict Optimize Operationalize Automate Analytics Maturity Immediate Value to the Organization Long-Term Competitive Advantage Get business value across this Analytics Spectrum

5 Insight to Action Analytics Self-service Dashboards Predictive and Prescriptive Analytics Event Processing Measure Diagnose Predict Optimize Operationalize Automate Analytics Maturity Immediate Value to the Organization Long-Term Competitive Advantage Get business value across this Analytics Spectrum

6 Insight to Action Analytics Self-service Dashboards Predictive and Prescriptive Analytics Event Processing Measure Diagnose Predict Optimize Operationalize Automate Analytics Maturity Immediate Value to the Organization Long-Term Competitive Advantage Get business value across this Analytics Spectrum

7 Insight to Action Analytics Self-service Dashboards Predictive and Prescriptive Analytics Event Processing Measure Diagnose Predict Optimize Operationalize Automate Analytics Maturity Immediate Value to the Organization Long-Term Competitive Advantage Get business value across this Analytics Spectrum

8 Dashboards - Some Basic Charts and Plots Bar chart Line chart Pie chart Scatter Plot Bar chart Combo chart Parallel Coord Plot 3d Scatter Plot

9 Dashboards - Some Basic Charts and Plots Graphical Table Heat Map Box Plot Tree Map Table Cross Table

10 Visual Analytics - Interactive Brush-Linked

11 Visual Analytics - Interactive Brush-Linked Polar 3D rotate Surface Contour Network Funnel

12 Extending the Palette JS, D3 Sankey Venn Dials Gantt Donut Chord

13 Dashboards and Themes Branding

14 Dashboards and Themes KPIs

15 Dashboards and Themes Color

16 Dashboards and Themes Color

17 Map Charts

18

19

20

21

22 Map Layers Marker Layer Feature Layer Map Layer WMS Layer Image Layer

23 Map Elements Marker Layer Color Shape Size Feature Layer Color Relative amounts Size Marker or Feature Layer Tooltip Labels

24 Non Geographic Data Interactive Charts

25 Non Geographic Data Interactive Charts Airplane Seating Chart Football Field Seating Chart

26 Pixel-Perfect Embedded Reports

27 From Dashboards to Value Analytics Self-service Dashboards Predictive and Prescriptive Analytics Event Processing Measure Diagnose Predict Optimize Operationalize Automate Analytics Maturity Immediate Value to the Organization Long-Term Competitive Advantage Get business value across this Analytics Spectrum

28 Big Data Analytics

29 Data a Insight a Action Business Case Prepare Data Explore Data Guided Deploy In-Line Improve Value Theses Data Access & Prep Exploratory Data Analysis Features Visual Dashboard Model & Predict Deploy Model Test & Learn Increase Productivity Grow Revenue Reduce Risk ROI Purchase Campaign Loyalty Churn Channel At Rest In Motion Visualize Aggregate Shape Merge Map Filter Big Data Propensity Affinity Segment Promotion Pricing Ensemble Forest Regression Additive Models Fast Data Dashboard Updates Challenger Models

30 Exploratory Data Analysis (EDA) & Features Features: Telco Churn April 21 Customers Business Problem: who is likely to leave? Insight: people who spend time talking to people who have already left the plan are more likely to leave!

31 Exploratory Data Analysis (EDA) & Features Features: Telco Churn May 2 Deactivations Business Problem: who is likely to leave? Insight: people who spend time talking to people who have already left the plan are more likely to leave!

32 Exploratory Data Analysis (EDA) & Features Features: Telco Churn June 4 Deactivations Business Problem: who is likely to leave? Insight: people who spend time talking to people who have already left the plan are more likely to leave!

33 Exploratory Data Analysis (EDA) & Features Features: Telco Churn July 7 Deactivations Business Problem: who is likely to leave? Insight: people who spend time talking to people who have already left the plan are more likely to leave!

34 Key Feature Features: Telco Churn Feature: % incoming calls in last <90> days from customers who cancelled in last <30> days Those with >10% = churn chatters Feature not in any database! Voice a little better than text Call count a little better than call length Inbound closer than outbound

35 Features Telco Churn Calls to Call Center Time Left in Plan (days) Tenure (days) Time Since Last Call (days)

36 Social Amplification of Features / Not Long to Act! Time Left in Plan (days) Red = churn chatters Comparing Churn Rates Over Time Pct Churning in Each 30-day period Feb Mar Apr May Churn chatters gone in 90 days All EM/EM+ Subs Top 5% Per Base Model Top Churn Chatters

37 R the Lingua Franca of Data Science

38 Contextual + Simple Predictive Analytics Contextual Analytics - Right click - Forecasting Contextual Analytics - Menu - Machine Learning

39 Extensible Predictive Analytics Expressions Lines by TERR( contourlines(x,y) ) Interactive Advanced Analytics - Expression on the fly R code - Points: kmeans(), - Lines: contourlines(), spline(), - Expression Functions sharing Color by TERR( kmeans(x1,x2) )

40 Trade Area Analysis Customers within drive/walk from location (store) Store open/close effects Competitor response Expected sales*products from demographics

41 Analysis Workflows Data Functions Variables driving segments - Random Forest Revenue by product - Color by segment Interactive Analytics with R - Data Function - Robust Cluster Analysis - Any Analysis in R / CRAN

42 Customer & Marketing Analytics Analytics Data Segmentation Propensity Affinity Cross-Sell, Up-Sell Churn Test & Learn Customer Acquisition Customer Lifecycle Relationship Growth Customer Attributes Purchase History Social, sentiment Location Satisfaction (NPS) Customer Retention

43

44 Propensity: Respond to Credit Card Offer Response Data Acceptance of credit card offer Feature Variables Bank transactions: ATM, checking; deposit, withdrawal, balance, Demographics: sex, age, profession, nationality Customers Identified Likely to respond to credit card offer

45 Citibank saw time-to-market for new product offerings cut by 80% (from 8 weeks to 8 days) after implementing cross-sell programs.

46 From Dashboards to Value Analytics Self-service Dashboards Predictive and Prescriptive Analytics Event Processing Measure Diagnose Predict Optimize Operationalize Automate Analytics Maturity Immediate Value to the Organization Long-Term Competitive Advantage Get business value across this Analytics Spectrum

47 Real Time - Data Customer Analytics Customer Analytics Offer Analysis Customer Experience Campaign Effectiveness

48 Customer Overview & Profiles 48

49 Segments and Offers 49

50 Customer Profiles and Targets 50

51 Customer Profiles: Sarah to get Free Gift 51

52 Login Event Capture All Login events tracked and monitored.

53 Intent to Cancel Intervention Search events evaluated against Analytics Rules and Models.

54 Offer to Customer trying to Cancel (Sarah) Customer is given an offer based on their profile and actions.

55 Notify Call Center and Sales Team Web site data sent to Call Center and Sales Team.

56 Campaign Effectiveness 56

57

58

59 Real Time - Data Customer Analytics Customer Analytics Offer Analysis Customer Experience Campaign Effectiveness

60 Real Time Data Analytics Interventions Give customer service Make offer to customer Proactively maintain machines Restock inventory Optimize pricing Check for fraud Reroute transport

61 Wrap Up Thank you! Nick Young Solutions Consultant, APJ TIBCO

CRM. Best Practice Webinar. Next generation CRM for enhanced customer journeys: from leads to loyalty

CRM. Best Practice Webinar. Next generation CRM for enhanced customer journeys: from leads to loyalty CRM Best Practice Webinar Next generation CRM for enhanced customer journeys: from leads to loyalty Featured guest speaker Leslie Ament SVP Research and Principal Analyst at Hypatia Research Group and

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

Customer Analytics. Turn Big Data into Big Value

Customer Analytics. Turn Big Data into Big Value Turn Big Data into Big Value All Your Data Integrated in Just One Place BIRT Analytics lets you capture the value of Big Data that speeds right by most enterprises. It analyzes massive volumes of data

More information

GROW YOUR ANALYTICS MATURITY

GROW YOUR ANALYTICS MATURITY GROW YOUR ANALYTICS MATURITY Gain and Sustain a Competitive Edge FROM DATA TO ACTION YOU VE HEARD THE BIG DATA BUZZ. WE RE SWIMMING IN MORE DATA THAN EVER. But it s not about the amount of data, the different

More information

12/10/2012. Real-Time Analytics & Attribution. Client Case Study: Staples. Noah Powers Principal Solutions Architect, Customer Intelligence, SAS

12/10/2012. Real-Time Analytics & Attribution. Client Case Study: Staples. Noah Powers Principal Solutions Architect, Customer Intelligence, SAS Real-Time Analytics & Attribution Noah Powers Principal Solutions Architect, Customer Intelligence, SAS Patty Hager Analytics Manager, Content/Communication/Entertainment, SAS Suneel Grover Solutions Architect,

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

April 2016 JPoint Moscow, Russia. How to Apply Big Data Analytics and Machine Learning to Real Time Processing. Kai Wähner. kwaehner@tibco.

April 2016 JPoint Moscow, Russia. How to Apply Big Data Analytics and Machine Learning to Real Time Processing. Kai Wähner. kwaehner@tibco. April 2016 JPoint Moscow, Russia How to Apply Big Data Analytics and Machine Learning to Real Time Processing Kai Wähner kwaehner@tibco.com @KaiWaehner www.kai-waehner.de LinkedIn / Xing Please connect!

More information

Transforming customer service with business analytics

Transforming 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 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

Actionable Marketing Analytics using Spotfire

Actionable Marketing Analytics using Spotfire Actionable Marketing Analytics using Spotfire It is an exciting time to be in marketing! Today the combination of vast new sources of information and data plus powerful analytic tools to extract insight

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

The Power of Personalizing the Customer Experience

The Power of Personalizing the Customer Experience The Power of Personalizing the Customer Experience Creating a Relevant Customer Experience from Real-Time, Cross-Channel Interaction WHITE PAPER SAS White Paper Table of Contents The Marketplace Today....1

More information

Technology Trends in Mortgage Lending - Mortgage Marketing

Technology 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 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

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 pick up on explicit and implicit cues that signal intent: What

More information

Title. The Customer Experience Imperative

Title. The Customer Experience Imperative Delivering Positive Student Experiences Daniel Harrison Director, Higher Education - Australia Title 2007 RightNow Technologies, Inc. The Customer Experience Imperative 99% are likely to recommend your

More information

Using SAS Enterprise Miner for Analytical CRM in Finance

Using SAS Enterprise Miner for Analytical CRM in Finance Using SAS Enterprise Miner for Analytical CRM in Finance Sascha Schubert SAS EMEA Agenda Trends in Finance Industry Analytical CRM Case Study: Customer Attrition in Banking Future Outlook Trends in Finance

More information

Connected Analytics for Contact Centers. Rajesh Krishnan Cisco Advanced Services

Connected Analytics for Contact Centers. Rajesh Krishnan Cisco Advanced Services Connected Analytics for Contact Centers Rajesh Krishnan Cisco Advanced Services Today s discussion The importance of analytics for contact centers Cisco s approach to connected analytics for contact centers

More information

ORACLE CRM ON DEMAND INSURANCE DISTRIBUTION MANAGEMENT SOLUTION

ORACLE CRM ON DEMAND INSURANCE DISTRIBUTION MANAGEMENT SOLUTION ORACLE CRM ON DEMAND INSURANCE DISTRIBUTION MANAGEMENT SOLUTION For many insurance carriers, sales through indirect channels form the largest proportion of their business. However, most carriers do not

More information

Are You Ready To Take The Leap From Descriptive To Predictive Analytics?

Are You Ready To Take The Leap From Descriptive To Predictive Analytics? Are You Ready To Take The Leap From Descriptive To Predictive Analytics? Ashish C. Morzaria Director, SAP Advanced Analytics @ashishmorzaria #BOAK2015 #SAPAnalytics #SAPPredictive 2014 SAP AG or an SAP

More information

Customer Success Platform Buyer s Guide

Customer Success Platform Buyer s Guide Customer Success Platform Buyer s Guide Table of Contents Customer Success Platform Overview 3 Getting Started 4 Making the case 4 Priorities and problems 5 Key Components of a Successful Customer Success

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

Performance Management and KPIs

Performance Management and KPIs Performance Management and KPIs Outline Business Performance Management (BPM) Dashboards SSAS: KPI and Dashboards 2 Business Performance Management (BPM) 3 Business Performance Management (BPM) BPM encompasses

More information

Operationalising Predictive Insights

Operationalising Predictive Insights Operationalising Predictive Insights To Impact the Bottom Line Ali Rahim Advanced Analytics Product Manager Agenda 1. Predictive Analytics 2. Why RStat 3. Step through the Predictive process 4. RStat Roadmap

More information

THE FOUR PILLARS OF TECHNOLOGY BUSINESS SUCCESS

THE FOUR PILLARS OF TECHNOLOGY BUSINESS SUCCESS THE FOUR PILLARS OF TECHNOLOGY BUSINESS SUCCESS ORGANIZING YOUR BUSINESS OPTIMIZING YOUR CUSTOMERS EXPERIENCE BUILDING YOUR PIPELINE UNDERSTANDING YOUR METRICS OVERVIEW Building and maintaining a profitable

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

TABLEAU COURSE CONTENT. Presented By 3S Business Corporation Inc www.3sbc.com Call us at : 281-823-9222 Mail us at : info@3sbc.com

TABLEAU COURSE CONTENT. Presented By 3S Business Corporation Inc www.3sbc.com Call us at : 281-823-9222 Mail us at : info@3sbc.com TABLEAU COURSE CONTENT Presented By 3S Business Corporation Inc www.3sbc.com Call us at : 281-823-9222 Mail us at : info@3sbc.com Introduction and Overview Why Tableau? Why Visualization? Level Setting

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

Microsoft Dynamics CRM for Financial Services. Making customers the heart of your business.

Microsoft Dynamics CRM for Financial Services. Making customers the heart of your business. Microsoft Dynamics CRM for Financial Services Making customers the heart of your business. In today s competitive financial services market the focus is the customer making sure the customer is at the

More information

BIG DATA & ANALYTICS ACQUIRE, GROW & RETAIN CUSTOMERS: The Business Imperative for INSIDESSS. December 2013. Introduction Page 2

BIG DATA & ANALYTICS ACQUIRE, GROW & RETAIN CUSTOMERS: The Business Imperative for INSIDESSS. December 2013. Introduction Page 2 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 information

ASSESSING CUSTOMER SERVICE MATURITY AN IN-DEPTH LOOK AT MICROSOFT CUSTOMERS

ASSESSING CUSTOMER SERVICE MATURITY AN IN-DEPTH LOOK AT MICROSOFT CUSTOMERS RESEARCH NOTE February 2015 ASSESSING CUSTOMER SERVICE MATURITY AN IN-DEPTH LOOK AT MICROSOFT CUSTOMERS THE BOTTOM LINE Organizations are increasingly challenged to deliver higher quality, more consistent

More information

Genesys Notification Center

Genesys Notification Center Genesys Notification Center Benefits Optimize Campaign Results: Increase contact and response rates Decrease inbound call volumes Drive high-value inbound calls Simplify Compliance: Self-service rules

More information

Elevate Customer Experience and Engagement in the New Digital World

Elevate Customer Experience and Engagement in the New Digital World Elevate Customer Experience and Engagement in the New Digital World John Chan CRM Solutions Lead, Microsoft Business Solutions Microsoft Asia Customer buying behavior has fundamentally changed therefore,

More information

Operationalising Predictive Insights

Operationalising Predictive Insights Operationalising Predictive Insights To Impact the Bottom Line Ali Rahim Advanced Analytics Product Manager Agenda 2 1. Predictive Analytics 2. Why RStat 3. Step through the Predictive process 4. RStat

More information

Delivering new insights and value to consumer products companies through big data

Delivering new insights and value to consumer products companies through big data IBM Software White Paper Consumer Products Delivering new insights and value to consumer products companies through big data 2 Delivering new insights and value to consumer products companies through big

More information

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

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

More information

Tableau Your Data! Wiley. with Tableau Software. the InterWorks Bl Team. Fast and Easy Visual Analysis. Daniel G. Murray and

Tableau Your Data! Wiley. with Tableau Software. the InterWorks Bl Team. Fast and Easy Visual Analysis. Daniel G. Murray and Tableau Your Data! Fast and Easy Visual Analysis with Tableau Software Daniel G. Murray and the InterWorks Bl Team Wiley Contents Foreword xix Introduction xxi Part I Desktop 1 1 Creating Visual Analytics

More information

Exceptional Customer Experience AND Credit Risk Management: How to Achieve Both

Exceptional Customer Experience AND Credit Risk Management: How to Achieve Both Exceptional Customer Experience AND Credit Risk Management: How to Achieve Both Lynn Brunner Experian and the marks used herein are service marks or registered trademarks of Experian Information Solutions,

More information

6.0, 6.5 and Beyond. The Future of Spotfire. Tobias Lehtipalo Sr. Director of Product Management

6.0, 6.5 and Beyond. The Future of Spotfire. Tobias Lehtipalo Sr. Director of Product Management 6.0, 6.5 and Beyond The Future of Spotfire Tobias Lehtipalo Sr. Director of Product Management Key peformance indicators Hundreds of Records Visual Data Discovery Millions of Records Data Mining or Data

More information

Data-Driven Decisions: Role of Operations Research in Business Analytics

Data-Driven Decisions: Role of Operations Research in Business Analytics Data-Driven Decisions: Role of Operations Research in Business Analytics Dr. Radhika Kulkarni Vice President, Advanced Analytics R&D SAS Institute April 11, 2011 Welcome to the World of Analytics! Lessons

More information

Sage CRM. Communicate, Collaborate, Compete with Sage CRM

Sage CRM. Communicate, Collaborate, Compete with Sage CRM Sage CRM Communicate, Collaborate, Compete with Sage CRM FEATURES AT-A-GLANCE FOR ALL USERS Easy to use with fresh look and feel Fully customisable interactive dashboard End-user personalisation of interface

More information

Genesys Outbound Engagement Center

Genesys Outbound Engagement Center Genesys Outbound Engagement Center Benefits Optimize Campaign Results: Increase contact and response rates Decrease inbound call volumes Drive high-value inbound calls Maximize Agent Productivity: Increase

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

> 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

Analytics for cross-channel campaigns

Analytics for cross-channel campaigns Analytics for cross-channel campaigns Contents Introduction Introduction 3 Personalizing the interactions 4 What are the different types of analytics? 5 Measurement and insight 5 Segmentation 6 analytics

More information

HROUG. The future of Business Intelligence & Enterprise Performance Management. Rovinj October 18, 2007

HROUG. The future of Business Intelligence & Enterprise Performance Management. Rovinj October 18, 2007 HROUG Rovinj October 18, 2007 The future of Business Intelligence & Enterprise Performance Management Alexander Meixner Sales Executive, BI/EPM, South East Europe Oracle s Product

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

Predictive Analytics. Noam Zeigerson, CTO

Predictive Analytics. Noam Zeigerson, CTO Predictive Analytics Noam Zeigerson, CTO Agenda The Predictive Analytics Need Innovative Technologies Business Solutions The problem: Inconsistent stream of revenue Available Data Sources ERP data Web

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

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

Three proven methods to achieve a higher ROI from data mining

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

More information

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK 5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK CUSTOMER JOURNEY Technology is radically transforming the customer journey. Today s customers are more empowered and connected

More information

A Strategic Approach to Customer Engagement Optimization. A Verint Systems White Paper

A Strategic Approach to Customer Engagement Optimization. A Verint Systems White Paper A Strategic Approach to Customer Engagement Optimization A Verint Systems White Paper Table of Contents Introduction... 1 What is customer engagement?... 2 Why is customer engagement critical for business

More information

[ know me ] A Strategic Approach to Customer Engagement Optimization

[ know me ] A Strategic Approach to Customer Engagement Optimization [ know me ] A Strategic Approach to Customer Engagement Optimization A Verint and KANA White Paper Table of contents Introduction... 1 What is customer engagement?... 2 Why is customer engagement critical

More information

Transforming Utility & Energy Sector with Dynamic CRM

Transforming Utility & Energy Sector with Dynamic CRM Transforming Utility & Energy Sector with Dynamic CRM INDUSTRY OVERVIEW The changing global energy market and regulatory environment have focused a harsh spotlight on operational risks, health, safety,

More information

KnowledgeSEEKER Marketing Edition

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

More information

Big Data Discovery Demo: Financial Services Customer Journey. Big Data Technical Workshop. Data Discovery, Modern Architecture & Visualization

Big Data Discovery Demo: Financial Services Customer Journey. Big Data Technical Workshop. Data Discovery, Modern Architecture & Visualization Big Data Technical Workshop Sept 24 Minneapolis, MN Data Discovery, Modern Architecture & Visualization Big Data Discovery Demo: Financial Services Customer Journey 1 9/25/2014 AGENDA Key Functionality

More information

Marketing Automation with Microsoft Dynamics

Marketing Automation with Microsoft Dynamics Marketing Automation with Microsoft Dynamics Deliver impactful marketing campaigns and consistent communications with Microsoft Dynamics CRM for Marketing Provide marketing professionals with robust data

More information

Predictive Dynamix Inc Turning Business Experience Into Better Decisions

Predictive Dynamix Inc Turning Business Experience Into Better Decisions Overview Geospatial Data Mining for Market Intelligence By Paul Duke, Predictive Dynamix, Inc. Copyright 2000-2001. All rights reserved. Today, there is a huge amount of information readily available describing

More information

The Analytical Revolution

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

More information

TNS EX A MINE BehaviourForecast Predictive Analytics for CRM. TNS Infratest Applied Marketing Science

TNS EX A MINE BehaviourForecast Predictive Analytics for CRM. TNS Infratest Applied Marketing Science TNS EX A MINE BehaviourForecast Predictive Analytics for CRM 1 TNS BehaviourForecast Why is BehaviourForecast relevant for you? The concept of analytical Relationship Management (acrm) becomes more and

More information

<no narration for this slide>

<no narration for this slide> 1 2 The standard narration text is : After completing this lesson, you will be able to: < > SAP Visual Intelligence is our latest innovation

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

Taking A Proactive Approach To Loyalty & Retention

Taking 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 information

BEYOND 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 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 information

Microsoft Business Analytics Accelerator for Telecommunications Release 1.0

Microsoft Business Analytics Accelerator for Telecommunications Release 1.0 Frameworx 10 Business Process Framework R8.0 Product Conformance Certification Report Microsoft Business Analytics Accelerator for Telecommunications Release 1.0 November 2011 TM Forum 2011 Table of Contents

More information

APPROACHABLE ANALYTICS MAKING SENSE OF DATA

APPROACHABLE ANALYTICS MAKING SENSE OF DATA APPROACHABLE ANALYTICS MAKING SENSE OF DATA AGENDA SAS DELIVERS PROVEN SOLUTIONS THAT DRIVE INNOVATION AND IMPROVE PERFORMANCE. About SAS SAS Business Analytics Framework Approachable Analytics SAS for

More information

email/mobile/social/web

email/mobile/social/web email/mobile/social/web The Responsys Interact Suite helps you get more out of today s marketing power channels email, mobile, social and the web than ever before. email / Email has the highest ROI of

More information

Chapter 5: Customer Relationship Management. Introduction

Chapter 5: Customer Relationship Management. Introduction Chapter 5: Customer Relationship Management Introduction Customer Relationship Management involves managing all aspects of a customer s relationship with an organization to increase customer loyalty and

More information

USING DATA TO ENHANCE MARKETING EFFECTIVENESS. Anil Aggarwal CEO, Milestone Inc. anil@milestoneinternet.com @milestonemktg October 19, 2015

USING DATA TO ENHANCE MARKETING EFFECTIVENESS. Anil Aggarwal CEO, Milestone Inc. anil@milestoneinternet.com @milestonemktg October 19, 2015 USING DATA TO ENHANCE MARKETING EFFECTIVENESS Anil Aggarwal CEO, Milestone Inc. anil@milestoneinternet.com @milestonemktg October 19, 2015 About Milestone Digital Marketing Software and Services Unalytix

More information

Getting the most out of big data

Getting the most out of big data IBM Software White Paper Financial Services Getting the most out of big data How banks can gain fresh customer insight with new big data capabilities 2 Getting the most out of big data Banks thrive on

More information

OPTIMIZING YOUR MARKETING STRATEGY THROUGH MODELED TARGETING

OPTIMIZING YOUR MARKETING STRATEGY THROUGH MODELED TARGETING OPTIMIZING YOUR MARKETING STRATEGY THROUGH MODELED TARGETING 1 Introductions An insights-driven customer engagement firm Analytics-driven Marketing ROI focus Direct mail optimization 1.5 Billion 1:1 pieces

More information

Copyright 2001-2007 Infor Global Solutions

Copyright 2001-2007 Infor Global Solutions Copyright 2001-2007 Infor Global Solutions 1 www.marketingpower.com Podcasts White Papers Job Board Communities Copyright 2001-2007 Infor Global Solutions Blogs 2 ! " " Copyright 2001-2007 Infor Global

More information

IBM Social Media Analytics

IBM Social Media Analytics IBM Social Media Analytics Analyze social media data to better understand your customers and markets Highlights Understand consumer sentiment and optimize marketing campaigns. Improve the customer experience

More information

Bizzmaxx Intelligent Sales & Marketing Errol van Engelen Managing Director Errol.vanengelen@bizzmaxx.nl

Bizzmaxx Intelligent Sales & Marketing Errol van Engelen Managing Director Errol.vanengelen@bizzmaxx.nl Bizzmaxx Intelligent Sales & Marketing Errol van Engelen Managing Director Errol.vanengelen@bizzmaxx.nl Bizzmaxx 2012 - Internal use only Agenda About Bizzmaxx Intelligent Sales & Marketing Expertise,

More information

White Paper. Redefine Your Analytics Journey With Self-Service Data Discovery and Interactive Predictive Analytics

White Paper. Redefine Your Analytics Journey With Self-Service Data Discovery and Interactive Predictive Analytics White Paper Redefine Your Analytics Journey With Self-Service Data Discovery and Interactive Predictive Analytics Contents Self-service data discovery and interactive predictive analytics... 1 What does

More information

SAP FINUG Teknologiaseminaari

SAP FINUG Teknologiaseminaari SAP FINUG Teknologiaseminaari SAP Advanced Analytics Joni Ahola, 09 September 2015 Human Centric Innovation On the Agenda Advanced Analytics Approach SAP Predictive Analytics Tools, Functions & Libraries

More information

CHANNEL OPTIMIZATION THROUGH PERSONALIZATION

CHANNEL OPTIMIZATION THROUGH PERSONALIZATION CHANNEL OPTIMIZATION THROUGH PERSONALIZATION 1 Introductions Zimm Zimmermann Vice President, Personalization Platform Marketer Competencies Platform Data Consumer Privacy & Compliance Audience Management

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

Age of Analytics: Competing in the 21 st Century

Age of Analytics: Competing in the 21 st Century SAS Analytics Day Age of Analytics: Competing in the 21 st Century Dr. Radhika Kulkarni Vice President, Advanced Analytics R&D SAS Institute April 22, 2011 Outline Key challenges in today s marketplace

More information

Callidus for Insurance

Callidus for Insurance White Paper Callidus for Insurance From Producer On-boarding to Pay for Performance: The Need for an Integrated Insurance Suite Does your organization have multiple legacy systems? How long does it take

More information

Empowering the Masses with Analytics

Empowering the Masses with Analytics Empowering the Masses with Analytics THE GAP FOR BUSINESS USERS For a discussion of bridging the gap from the perspective of a business user, read Three Ways to Use Data Science. Ask the average business

More information

Building and Deploying Customer Behavior Models

Building and Deploying Customer Behavior Models Building and Deploying Customer Behavior Models February 20, 2014 David Smith, VP Marketing and Community, Revolution Analytics Paul Maiste, President and CEO, Lityx In Today s Webinar About Revolution

More information

KnowledgeSTUDIO HIGH-PERFORMANCE PREDICTIVE ANALYTICS USING ADVANCED MODELING TECHNIQUES

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

More information

FIS Active Analytics Suite. Delivering Segmentation-driven Digital Marketing, Merchant Offers

FIS Active Analytics Suite. Delivering Segmentation-driven Digital Marketing, Merchant Offers FIS Active Analytics Suite Delivering Segmentation-driven Digital Marketing, Merchant Offers Price Optimization and Risk Management Performance Analysis The FIS Active Analytics Suite helps financial institutions

More information

Data Science, Predictive Analytics & Big Data Analytics Solutions. Service Presentation

Data Science, Predictive Analytics & Big Data Analytics Solutions. Service Presentation Data Science, Predictive Analytics & Big Data Analytics Solutions Service Presentation Did You Know That According to the new research from GE and Accenture*: 87% of companies believe Big Data analytics

More information

Ingo Hilgefort Advanced Data Visualization with SAP BusinessObjects Design Studio Session # 2686

Ingo Hilgefort Advanced Data Visualization with SAP BusinessObjects Design Studio Session # 2686 Ingo Hilgefort Advanced Data Visualization with SAP BusinessObjects Design Studio Session # 2686 Legal Disclaimer This presentation outlines our general product direction and should not be relied on in

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

Torquex Customer Engagement Analytics. End to End View of Customer Interactions and Operational Insights

Torquex Customer Engagement Analytics. End to End View of Customer Interactions and Operational Insights Torquex Customer Engagement Analytics End to End View of Customer Interactions and Operational Insights Rob Witthoft Torquex {Pty) Ltd 10/1/2015 Torquex Customer Engagement Analytics Torquex Customer Engagement

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

Deliver a Superior Customer Experience. a social one.

Deliver a Superior Customer Experience. a social one. Social CRM Technology perspective on Business.. or the other way around? Daniel Burian CRM Presales Manager, Central Europe Deliver a Superior Customer Experience. a social one. As

More information

IBM Social Media Analytics

IBM Social Media Analytics IBM Analyze social media data to improve business outcomes Highlights Grow your business by understanding consumer sentiment and optimizing marketing campaigns. Make better decisions and strategies across

More information

The Four New Ps of Marketing That CMOs and CIOs Should Consider

The Four New Ps of Marketing That CMOs and CIOs Should Consider G00227185 The Four New Ps of Marketing That CMOs and CIOs Should Consider Published: 18 May 2012 Analyst(s): Kimberly Collins Four new Ps of marketing align people and processes across the marketing ecosystem,

More information

Business Intelligence: How better analytics can lead your business to higher profits.

Business Intelligence: How better analytics can lead your business to higher profits. Business Intelligence: How better analytics can lead your business to higher profits. Introduction The economic downturn is forcing business leaders to rethink strategic plans. To remain competitive, businesses

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

QlikView for utilities

QlikView for utilities QlikView for utilities Delivering unprecedented customer intelligence qlik.com QlikView for utilities: delivering unprecedented customer intelligence Collaboration, visibility and efficiency: necessities

More information

Next Best Action Using SAS

Next Best Action Using SAS WHITE PAPER Next Best Action Using SAS Customer Intelligence Clear the Clutter to Offer the Right Action at the Right Time Table of Contents Executive Summary...1 Why Traditional Direct Marketing Is Not

More information

Solve Your Toughest Challenges with Data Mining

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

More information

Descriptive to Predictive to Prescriptive Analytics: Move Up the Value Chain. Suren Nathan CTO

Descriptive to Predictive to Prescriptive Analytics: Move Up the Value Chain. Suren Nathan CTO Descriptive to Predictive to Prescriptive Analytics: Move Up the Value Chain Suren Nathan CTO What We Do Deliver cloud based predictive analytics solutions to the communications industry to help streamline

More information