PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION"

Transcription

1 PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION A m a r t y a B h a t t a c h a r j y & S u n e e l G r o v e r P r i n c i p a l S o l u t i o n A r c h i t e c t s, S A S

2 Module A: Sunday - 10:00am-11:15am Deliver Analytically-Driven Personalization Using Online & Offline Data S u n e e l G r o v e r P r i n c i p a l S o l u t i o n s A r c h i t e c t, S A S

3 Agenda Clickstream Data & Normalization Trends in Data-Driven Personalization Phased Approaches of Adoption Technology Demonstrations Q&A

4 Clickstream Data & Normalization

5 Cli ckstream Data Clickstream is a data stream of hits (i.e. clicks), pages, sessions (i.e. visits), transactions, and more created by online visitors to your organization s web properties.

6 Why is Collecting Clickstream D a ta I mportant? To deliver comprehensive customer insights, firms seek to merge clickstream data with offline channels. Web & customer analytics teams are attempting to work together, but their projects struggle to get off the ground due to a clash of approaches & culture from: 1. Data Types structured vs. unstructured, known vs. anonymous 2. Skills data scientist vs. web ninja 3. Analysis advanced analytics vs. good enough analytics

7 Collecting Digital Interaction Behav ior Digital Visitor Dynamic Data Collection

8 Collecting Digital Interaction Behav ior Digital Visitor Data Landing Zone 1 st, 2 nd, & 3 rd Party Data Offline CRM Data Promo & Response Data Dynamic Data Collection Digital Customer Data Model Data Integration Data Quality Data Governance

9 The Importance of a Normalized Data Model 1. Enables online and offline data stitching of customers 2. Reduces time-to-analysis for data miners and data scientists 3. Digital analytics is not limited to measurement reporting predictive analytics is now an option of approach

10 The Benefits of a Normalized Data Model

11 D emo: Meeting the Clickstream D a ta Challenge

12 Tr e n d s i n D a t a - D r i v e n Pe r s o n a l i z a t i o n

13 Trends in D a ta-driven D i gital Personalization True digital personalization at the individual level remains elusive for most enterprises who face challenges in data management, analytics, measurement, and execution Optimization is a core business goal of digital marketers A/B Testing Multivariate Testing (MVT)

14 Trends in D a ta-driven D i gital Personalization

15 The Confusion Over Predictive Marketing Statistics Pattern Recognition Computational Neuroscience Data Science Databases Data Mining KDD Machine Learning AI

16 The Emergence of the Citizen Data Scientist A person who creates models that use predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and advanced analytics. They are "power users" who will be able to perform simple and moderately sophisticated analytic applications that would previously have required more expertise. They often reside in the lines of business and have deep domain expertise - Gartner, Inc.

17 The Emergence of the Citizen Data Scientist MARKETING ANALYST PROGRAMMING STATISTICIAN / DATA SCIENTIST Data Manipulation Reporting Exploration Modeling Gartner s predicts that through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists

18 Analytical Maturity Curve

19 Viewpoint: Predictive & Prescriptive Analytics FORECASTING Leverage data to derive timely forecasts, at any level of aggregation TEXT ANALYTICS Finding treasures in unstructured data like social media or survey tools that could uncover insights about consumer sentiment DATA MINING / MACHINE LEARNING Mine data, predictive modeling, and advanced analytic methods DATA MANAGEMENT OPTIMIZATION Arrive at Optimal Decisions STATISTICS Analyze massive amounts of data to accurately identify segments likely to produce the most profitable results C opy r ight 2013, SAS Institut e Inc. All r ights r eser v ed.

20 Citizen Data Science For Marketing Predictive Marketers (Business/Digital Analysts, Data Miners, etc.) 1. Self-Service Visual Analytics 2. Powerful BIG data tools 3. Works with online & offline data easily

21 Special Consideration : Decisions at Scale

22 Marketing Analytics Engine: Enablement Offline Data (1 st /2 nd /3 rd /CRM/Etc.) Visual Analytics Digital Visitor Data Landing Zone Dynamic Data Collection Digital Customer Data Model Predictive Analytics

23 D e m o : A n a l y t i c s E n g i n e f o r P r e d i c t i v e M a r k e t i n g Vi86GuTpnzE4I1lmYOYP_f6e

24 D e m o : A n a l y t i c s E n g i n e f o r A l g o r i t h m i c S e g m e n t a t i o n

25 Decision & Personalization Engine Exploiting the power of Advanced Analytics and Interaction Management (Decision Engine), and deliver real-time or staged offers/content through delivery capabilities (Personalization Engine) to customers (or prospects) across digital and offline channels.

26 Decision & Personalization Engine Staged NBAs: Offer 1 Offer A Offer T Offer G Offer 6 Staged NBAs: Offer B Offer H Offer 6 Offer 7 Offer 5 Staged NBAs: Offer Y Offer F Offer 2 Offer 7 Offer 5 Staged NBAs: Offer R Offer Q Offer 1 Offer 4 Offer 8 Staged NBAs: Offer E Offer W Offer 1 Offer 9 Offer L Staged NBAs: Offer L Offer H Offer 4 Offer 2 Offer 9

27 Phased Approaches of Adoption

28 Components of Personalization Architecture Component Collection Engine Normalization Engine Analytics Engine Decision Engine Personalization Engine Activity Performed Collects raw clickstream data, for every session and every user accessing any of the web properties of the enterprise Transforms raw clickstream data into a normalized data model Consists of all tools and processes used by enterprise analytics team to analyze the normalized data and build required models Uses the output models of the Analytical tools and processes to perform decision orchestration in real-time when Personalization Engine requests treatments Presents content on the digital channel using treatments received from Decision Engine

29 Phased Approaches 1. Startup phase 2. Analytics phase 3. Operational phase Random selection of Creatives (executed by Decision Engine) T47 Intelligent selection of Creatives (executed by Decision Engine) T62 CMS CMS T10 T20 T30 T40 T10 T20 T30 T40 T50 T60 T70 T80 T50 T60 T70 T80 Startup phase Analytics Phase Operational phase

30 Approach: Startup Phase 7. Capture clickstream data Collection Engine (CE) Browser 1. Browser requests personalization content CMS 6. Render Creative Content 5. Find creative treatment/url related to T47 Personalization Engine (PE) 4. Response from DE to PE - Treatment code (T47) 2. What should I render? Request to Decision Engine: In-session clickstream data Real-time Campaign Data Mart 3. Read Decision Engine (DE) 3. Execute Model(s) Randomization Model

31 Approach: Predictive Analytics Phase Collection Engine (CE) Batch download of raw clickstream data Local Storage Normalization Engine (NE) Analytical Data Mart SAS Analytics Engine (AE) Decision Engine (DE) Deploy Model Model SAS Enterprise Miner TM, SAS Enterprise Guide, SAS Visual Analytics TM, Base SAS and so on. * AE can also be another analytics technology, assuming it enables predictive analytics

32 Approach: Operational Phase 7. Capture clickstream data Browser 1. Browser requests web-page Collection Engine (CE) Batch download of raw clickstream data File Server CMS 6. Render Creative Content Normalization Engine (NE) 5. Find creative treatment/url related to T62 4. Reply from Decision Engine: T62 Personalization Engine (PE) 2. What should I render? Request to Decision Engine: In-session data Analytical Data Mart SAS Analytics Engine (AE) Real-time Campaign Data Mart 3. Read Decision Engine (DE) Deploy Models Model SAS Enterprise Miner TM, SAS Enterprise Guide, SAS Visual Analytics TM, Base SAS and so on.

33 Demo: Decision & Personalization Engine

34 WP: D e l i v e r A n a l y t i c a l l y - D r i v e n Pe r s o n a l i z a t i o n White Paper Download Link: On-Demand Webinar Link:

35 QUESTIONS?

Predictive Marketing. Digital Intelligence. Igniting Customer Engagement.

Predictive Marketing. Digital Intelligence. Igniting Customer Engagement. Predictive Marketing. Digital Intelligence. Igniting Customer Engagement. Suneel Grover, M.B.A., M.S. Sr. Solutions Architect SAS CCE Customer Intelligence Adjunct Professor - Dept. of Decision Science

More information

PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION

PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION PREDICTIVE MARKETING, DIGITAL ATTRIBUTION, OPTIMIZATION, AND DATA-DRIVEN PERSONALIZATION A m a r t y a B h a t t a c h a r j y & S u n e e l G r o v e r P r i n c i p a l S o l u t i o n A r c h i t e

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

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

White Paper. Using SAS to Deliver Analytically Injected Digital Personalization for Online and Offline Data

White Paper. Using SAS to Deliver Analytically Injected Digital Personalization for Online and Offline Data White Paper Using SAS to Deliver Analytically Injected Digital Personalization for Online and Offline Data Contents Introduction... 1 Clickstream Data and Analysis... 1 Raw Data...1 Normalized Data...2

More information

Ensighten Activate USE CASES. Ensighten Pulse. Ensighten One

Ensighten Activate USE CASES. Ensighten Pulse. Ensighten One USE CASES Ensighten Activate Ensighten One Ensighten Pulse Use Case: On-Site Targeting based on Off-Site Display Ad Deliver relevant content to customers after they viewed or clicked through an Off-Site

More information

High-Performance Analytics

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

More information

Comprehensive Analytics on the Hortonworks Data Platform

Comprehensive Analytics on the Hortonworks Data Platform Comprehensive Analytics on the Hortonworks Data Platform We do Hadoop. Page 1 Page 2 Back to 2005 Page 3 Vertical Scaling Page 4 Vertical Scaling Page 5 Vertical Scaling Page 6 Horizontal Scaling Page

More information

Hortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved

Hortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved Hortonworks & SAS Analytics everywhere. Page 1 A change in focus. A shift in Advertising From mass branding A shift in Financial Services From Educated Investing A shift in Healthcare From mass treatment

More information

IBM Big Data in Government

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

More information

BIG Data Analytics Move to Competitive Advantage

BIG Data Analytics Move to Competitive Advantage BIG Data Analytics Move to Competitive Advantage where is technology heading today Standardization Open Source Automation Scalability Cloud Computing Mobility Smartphones/ tablets Internet of Things Wireless

More information

Marketing Automation Request for Proposal

Marketing Automation Request for Proposal Marketing Automation Request for Proposal Choosing the right marketing automation system isn t easy. This is why we created this sample RFP, consisting entirely of actual questions from real RFPs submitted

More information

VIEWPOINT. High Performance Analytics. Industry Context and Trends

VIEWPOINT. High Performance Analytics. Industry Context and Trends VIEWPOINT High Performance Analytics Industry Context and Trends In the digital age of social media and connected devices, enterprises have a plethora of data that they can mine, to discover hidden correlations

More information

Matt Mobley Chief Marketing Technology Officer

Matt Mobley Chief Marketing Technology Officer Technology Infrastructure Matt Mobley Chief Marketing Technology Officer Here is what we have talked about so far. Segment Strategy Customer Strategy Portfolio Strategy Program Strategy These strategies

More information

Digital Analytics Checkup:

Digital Analytics Checkup: Digital Analytics Checkup: How to evaluate the impact of your web analytics data A Digital Marketing Depot White Paper Executive Summary Marketing organizations are being inundated with a greater volume,

More information

data real TIme Size it the data challenges have become exponential. Speed For more WHITe PAPerS go To WWW.r-cubed.co.

data real TIme Size it the data challenges have become exponential. Speed For more WHITe PAPerS go To WWW.r-cubed.co. 4 reasons Reasons why your business Business Needs needs real-time Real-Time customer Customer intelligence Intelligence For decades the mantra of getting the right message, to the right person, at the

More information

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data SOLUTION BRIEF Understanding Your Customer Journey by Extending Adobe Analytics with Big Data Business Challenge Today s digital marketing teams are overwhelmed by the volume and variety of customer interaction

More information

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

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

More information

Audience Management & Targeting

Audience Management & Targeting Audience Management & Targeting For Marketers A Dean Media Group Solution What is FinancialAudiences? Identify. Target. Learn. Repeat. FinancialAudiences is an audience management and targeting platform

More information

FACTS ABOUT BIG DATA ANALYTICS PLATFORA. BIG DATA ANALYTICS Series

FACTS ABOUT BIG DATA ANALYTICS PLATFORA. BIG DATA ANALYTICS Series 5 FACTS ABOUT BIG DATA ANALYTICS PLATFORA BIG DATA ANALYTICS Series BIG DATA ANALYTICS FICTIONS, FEELINGS, AND FAITH Does Your Company Run On Facts? Or Fictions, Feelings and Faith? No doubt you answered

More information

by nugg.ad Europe s Audience Experts

by nugg.ad Europe s Audience Experts by nugg.ad Europe s Audience Experts SMART AUDIENCE PLATFORM TM by nugg.ad Europe s Audience Experts The nugg.ad Smart Audience Platform TM offers cutting edge real-time technology for multichannel audience

More information

INTRODUCTION TO DATA MINING SAS ENTERPRISE MINER

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

More information

Hadoop & SAS Data Loader for Hadoop

Hadoop & SAS Data Loader for Hadoop Turning Data into Value Hadoop & SAS Data Loader for Hadoop Sebastiaan Schaap Frederik Vandenberghe Agenda What s Hadoop SAS Data management: Traditional In-Database In-Memory The Hadoop analytics lifecycle

More information

How to Choose the Best Web Content Management System for Customer Experience Management:

How to Choose the Best Web Content Management System for Customer Experience Management: white paper How to Choose the Best Web Content Management System for Customer Experience Management: A Guide for Both Marketers and Developers Table of Contents Choosing a Web CMS is about more than Content

More information

Marketing Orchestration. Better Metrics, Happier Customers. 72% Impression Lift 107% CTR Improvement

Marketing Orchestration. Better Metrics, Happier Customers. 72% Impression Lift 107% CTR Improvement Marketing Orchestration Better Metrics, Happier Customers. If your customers are happy, your metrics will show it. Higher ROI, higher click-through rates, more impressions, more sales. Leverage your 1

More information

Real World Application and Usage of IBM Advanced Analytics Technology

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

More information

MARKETING ANALYTICS AS A SERVICE

MARKETING ANALYTICS AS A SERVICE MARKETING ANALYTICS AS A SERVICE WEATHER BASED CONTENT PERSONALIZATION Joseph A. Marr, Ph.D. Senior Principal Data Scientist SYNTASA Kirk D. Borne, Ph.D. Advisory Board Member SYNTASA MAY 2014 INTRODUCTION:

More information

SAS Fraud Framework for Banking

SAS 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 information

The Kentico EMS. value. Gain more leads, create compelling content, and optimize your marketing with Kentico EMS. Easy to use for creating

The Kentico EMS. value. Gain more leads, create compelling content, and optimize your marketing with Kentico EMS. Easy to use for creating Gain more leads, create compelling content, and optimize your marketing with Kentico EMS. Built on a scalable enterprise platform as part of Kentico CMS 7 Easy to use for creating online campaigns, forms,

More information

Big Data and Your Data Warehouse Philip Russom

Big Data and Your Data Warehouse Philip Russom Big Data and Your Data Warehouse Philip Russom TDWI Research Director for Data Management April 5, 2012 Sponsor Speakers Philip Russom Research Director, Data Management, TDWI Peter Jeffcock Director,

More information

White Paper. Big Digital Data, Analytic Visualization and the Opportunity of Digital Intelligence

White Paper. Big Digital Data, Analytic Visualization and the Opportunity of Digital Intelligence White Paper Big Digital Data, Analytic Visualization and the Opportunity of Digital Intelligence Contents Introduction... 1 A History of Fragmented Data and Analytics Tools... 3 Individual Customer-Level

More information

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day Big Data overview SICS Software week, Sept 23-25 Cloud and Big Data Day Livio Ventura Big Data European Industry Leader for Telco, Energy and Utilities and Digital Media Agenda some data on Data Big Data

More information

Solve your toughest challenges with data mining

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

More information

IBM Global Business Services Microsoft Dynamics CRM solutions from IBM

IBM Global Business Services Microsoft Dynamics CRM solutions from IBM IBM Global Business Services Microsoft Dynamics CRM solutions from IBM Power your productivity 2 Microsoft Dynamics CRM solutions from IBM Highlights Win more deals by spending more time on selling and

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

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

Ganzheitliches Datenmanagement

Ganzheitliches Datenmanagement Ganzheitliches Datenmanagement für Hadoop Michael Kohs, Senior Sales Consultant @mikchaos The Problem with Big Data Projects in 2016 Relational, Mainframe Documents and Emails Data Modeler Data Scientist

More information

THE CUSTOMER DECISION HUB IMPORTANCE OF CUSTOMER FEEDBACK OCTOBER 2014

THE CUSTOMER DECISION HUB IMPORTANCE OF CUSTOMER FEEDBACK OCTOBER 2014 THE CUSTOMER DECISION HUB IMPORTANCE OF CUSTOMER FEEDBACK OCTOBER 2014 C op yr i g h t 2 0 1 2, S A S I n s t i t u t e I n c. A l l r i g h t s r es er v e d. ABOUT MYSELF Customer Intelligence Director

More information

2015 Analyst and Advisor Summit. Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist

2015 Analyst and Advisor Summit. Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist 2015 Analyst and Advisor Summit Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist Agenda Key Facts Offerings and Capabilities Case Studies When to Engage

More information

Marketzone. campaigns that may or may not be working. Marketers today live in the world of the always-connected customer

Marketzone. campaigns that may or may not be working. Marketers today live in the world of the always-connected customer marketzone Marketers today live in the world of the always-connected customer... and cannot afford to waste dollars on campaigns that may or may not be working. Marketers today live in a fast-paced world

More information

IBM Coremetrics Web Analytics

IBM Coremetrics Web Analytics IBM Coremetrics Web Analytics Analytics to power digital marketing optimization and execution Highlights Real-time Key Performance Indicators (KPIs) suitable for marketers from finance, retail, content

More information

Armanino LLP Welcomes You To Today s Webinar:

Armanino LLP Welcomes You To Today s Webinar: Armanino LLP Welcomes You To Today s Webinar: Turbo Charge Your Sales Team New Sales & Marketing Dashboard The presentation will begin in a few moments 1 Armanino LLP armaninollp.com Armanino LLP armaninollp.com

More information

BIG DATA: THE PROMISE AND REALITY FOR MARKETERS. www.sitecore.net

BIG DATA: THE PROMISE AND REALITY FOR MARKETERS. www.sitecore.net BIG DATA: THE PROMISE AND REALITY FOR MARKETERS Customer Engagement Platform Integrated Platform Content Management Rule-Based and Predictive Personalization Engagement Automation Online and Offline Engagement

More information

BIG DATA Impact on DMOs. TTRA June 21, 2013

BIG DATA Impact on DMOs. TTRA June 21, 2013 BIG DATA Impact on DMOs TTRA June 21, 2013 What is BIG DATA? 1. Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or

More information

AirTight Social Wi-Fi and Analytics for the Retail Store of the Future Where Clicks Meet the Bricks

AirTight Social Wi-Fi and Analytics for the Retail Store of the Future Where Clicks Meet the Bricks AirTight Social Wi-Fi and Analytics for the Retail Store of the Future Where Clicks Meet the Bricks The retail store of the future will deliver a seamless and personalized consumer experience with omnichannel

More information

The Definitive Guide to Preparing Your Data for Tableau

The Definitive Guide to Preparing Your Data for Tableau The Definitive Guide to Preparing Your Data for Tableau Speed Your Time to Visualization If you re like most data analysts today, creating rich visualizations of your data is a critical step in the analytic

More information

Empowering the Digital Marketer With Big Data Visualization

Empowering the Digital Marketer With Big Data Visualization Conclusions Paper Empowering the Digital Marketer With Big Data Visualization Insights from the DMA Annual Conference Preview Webinar Series Big Digital Data, Visualization and Answering the Question:

More information

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

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

More information

PDF PREVIEW EMERGING TECHNOLOGIES. Applying Technologies for Social Media Data Analysis

PDF PREVIEW EMERGING TECHNOLOGIES. Applying Technologies for Social Media Data Analysis VOLUME 34 BEST PRACTICES IN BUSINESS INTELLIGENCE AND DATA WAREHOUSING FROM LEADING SOLUTION PROVIDERS AND EXPERTS PDF PREVIEW IN EMERGING TECHNOLOGIES POWERFUL CASE STUDIES AND LESSONS LEARNED FOCUSING

More information

IBM Customer Experience Suite and Predictive Analytics

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

More information

PREDICTIVE ANALYTICS IN HIGHER EDUCATION NOVEMBER 6, 2014

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

More information

Webtrends for SharePoint 2010 A Microsoft Preferred Analytics Solution for SharePoint

Webtrends for SharePoint 2010 A Microsoft Preferred Analytics Solution for SharePoint Webtrends for SharePoint 2010 A Microsoft Preferred Analytics Solution for SharePoint Provided to By Sean Browning, Webtrends 13-Sep-2011 Webtrends Expertise with SharePoint Webtrends is a Microsoft-designated

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

Analytics framework: creating the data-centric organisation to optimise business performance

Analytics framework: creating the data-centric organisation to optimise business performance Research Report Analytics framework: creating the data-centric organisation to optimise business performance October 2013 Justin van der Lande 2 Contents [1] Slide no. 5. Executive summary 6. Executive

More information

Extend your analytic capabilities with SAP Predictive Analysis

Extend your analytic capabilities with SAP Predictive Analysis September 9 11, 2013 Anaheim, California Extend your analytic capabilities with SAP Predictive Analysis Charles Gadalla Learning Points Advanced analytics strategy at SAP Simplifying predictive analytics

More information

IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE. Copyright 2012, SAS Institute Inc. All rights reserved.

IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE. Copyright 2012, SAS Institute Inc. All rights reserved. IRMAC SAS INFORMATION MANAGEMENT, TRANSFORMING AN ANALYTICS CULTURE ABOUT THE PRESENTER Marc has been with SAS for 10 years and leads the information management practice for canada. Marc s area of specialty

More information

Webtrends for Retail

Webtrends for Retail Webtrends for Retail Revolutionize Your Customers End-To-End Experiences Across Digital Channels solution brief JAN 2013 2013 Webtrends, Inc. www.webtrends.com. Webtrends for Retail Revolutionize Your

More information

IBM's Fraud and Abuse, Analytics and Management Solution

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

More information

Why your business decisions still rely more on gut feel than data driven insights.

Why your business decisions still rely more on gut feel than data driven insights. Why your business decisions still rely more on gut feel than data driven insights. THERE ARE BIG PROMISES FROM BIG DATA, BUT FEW ARE CONNECTING INSIGHTS TO HIGH CONFIDENCE DECISION-MAKING 85% of Business

More information

Disrupting The Market: Predictive Analytics As A Service

Disrupting The Market: Predictive Analytics As A Service Disrupting The Market: Predictive Analytics As A Service 0 Problem 8.7 Billion Connected Devices 1 Growing 25% Annually What Does This Data Tell Us About Sensor Use? 1 Study conducted by Cisco 1 Solution

More information

Customer Centric Banking. June 2014, IBU Banking, SAP

Customer Centric Banking. June 2014, IBU Banking, SAP Customer Centric Banking June 2014, IBU Banking, SAP EMPOWERED CUSTOMERS ARE 79% 53% 59% Digitally Connected of customers spend at least 50% of total shopping time researching brands online. Socially Networked

More information

Turning Big Data into a Big Opportunity

Turning Big Data into a Big Opportunity Customer-Centricity in a World of Data: Turning Big Data into a Big Opportunity Richard Maraschi Business Analytics Solutions Leader IBM Global Media & Entertainment Joe Wikert General Manager & Publisher

More information

SAP Predictive Analysis: Strategy, Value Proposition

SAP Predictive Analysis: Strategy, Value Proposition September 10-13, 2012 Orlando, Florida SAP Predictive Analysis: Strategy, Value Proposition Charles Gadalla, Solution Management, SAP Business Intelligence Manavendra Misra, Chief Knowledge Officer, Cognilytics

More information

Using Big Data Analytics to

Using Big Data Analytics to Using Big Data Analytics to Improve Government Performance Arun Chandrasekaran Gartner is a registered trademark of Gartner, Inc. or its affiliates. This publication may not be reproduced or distributed

More information

What s New in Analytics: Fall 2015

What s New in Analytics: Fall 2015 Adobe Analytics What s New in Analytics: Fall 2015 Adobe Analytics powers customer intelligence across the enterprise, facilitating self-service data discovery for users of all skill levels. The latest

More information

DATA VISUALIZATION: CONVERTING INFORMATION TO DECISIONS DAVID FRONING, PRINCIPAL PRODUCT MANAGER

DATA VISUALIZATION: CONVERTING INFORMATION TO DECISIONS DAVID FRONING, PRINCIPAL PRODUCT MANAGER DATA VISUALIZATION: CONVERTING INFORMATION TO DECISIONS DAVID FRONING, PRINCIPAL PRODUCT MANAGER SAS WHO WE ARE World leader in analytics Founded in 1976 400 offices world-wide Used at 65,000 sites in

More information

What s New in Analytics: Fall 2015

What s New in Analytics: Fall 2015 Adobe Analytics What s New in Analytics: Fall 2015 Adobe Analytics powers customer intelligence across the enterprise, facilitating self-service data discovery for users of all skill levels. The latest

More information

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS!

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS! The Bloor Group IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS VENDOR PROFILE The IBM Big Data Landscape IBM can legitimately claim to have been involved in Big Data and to have a much broader

More information

Big Data Executive Survey

Big Data Executive Survey Big Data Executive Full Questionnaire Big Date Executive Full Questionnaire Appendix B Questionnaire Welcome The survey has been designed to provide a benchmark for enterprises seeking to understand the

More information

Business Intelligence Solutions for Gaming and Hospitality

Business 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 information

Banking On A Customer-Centric Approach To Data

Banking On A Customer-Centric Approach To Data Banking On A Customer-Centric Approach To Data Putting Content into Context to Enhance Customer Lifetime Value No matter which company they interact with, consumers today have far greater expectations

More information

A Comprehensive Data Management Platform Powers 360 Analytics. Centrally Analyze Audience, Campaign, and Performance Data

A Comprehensive Data Management Platform Powers 360 Analytics. Centrally Analyze Audience, Campaign, and Performance Data A Comprehensive Data Management Platform Powers 360 Analytics Centrally Analyze Audience, Campaign, and Performance Data 1 How can you analyze all of your disparate first-party and third-party audience,

More information

Analytical CRM Technology Options

Analytical CRM Technology Options EXTRAPRISE Company Services Alliances Case Studies Extraprise Report Analytical CRM Technology Options Volume 5 No. 4 Executive Summary We described the evolution of the customer relationship management

More information

SAS Enterprise Decision Management at a Global Financial Services Firm: Enabling More Rapid Implementation of Decision Models into Production

SAS Enterprise Decision Management at a Global Financial Services Firm: Enabling More Rapid Implementation of Decision Models into Production Buyer Case Study SAS Enterprise Decision Management at a Global Financial Services Firm: Enabling More Rapid Implementation of Decision Models into Production Brian McDonough IDC OPINION The goal of decision

More information

Business Intelligence

Business Intelligence Business Intelligence Data Mining and Data Warehousing Dominik Ślęzak slezak@infobright.com www.infobright.com Research Interests Data Warehouses, Knowledge Discovery, Rough Sets Machine Intelligence,

More information

How to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning

How to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning How to use Big Data in Industry 4.0 implementations LAURI ILISON, PhD Head of Big Data and Machine Learning Big Data definition? Big Data is about structured vs unstructured data Big Data is about Volume

More information

HOW TO DO A SMART DATA PROJECT

HOW TO DO A SMART DATA PROJECT April 2014 Smart Data Strategies HOW TO DO A SMART DATA PROJECT Guideline www.altiliagroup.com Summary ALTILIA s approach to Smart Data PROJECTS 3 1. BUSINESS USE CASE DEFINITION 4 2. PROJECT PLANNING

More information

DRIVING THE CHANGE ENABLING TECHNOLOGY FOR FINANCE 15 TH FINANCE TECH FORUM SOFIA, BULGARIA APRIL 25 2013

DRIVING THE CHANGE ENABLING TECHNOLOGY FOR FINANCE 15 TH FINANCE TECH FORUM SOFIA, BULGARIA APRIL 25 2013 DRIVING THE CHANGE ENABLING TECHNOLOGY FOR FINANCE 15 TH FINANCE TECH FORUM SOFIA, BULGARIA APRIL 25 2013 BRAD HATHAWAY REGIONAL LEADER FOR INFORMATION MANAGEMENT AGENDA Major Technology Trends Focus on

More information

Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence. Peter Simons peter.simons@cimaglobal.

Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence. Peter Simons peter.simons@cimaglobal. Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence Peter Simons peter.simons@cimaglobal.com Agenda Management Accountants? The need for Better Information

More information

Understanding Data Warehouse Needs Session #1568 Trends, Issues and Capabilities

Understanding Data Warehouse Needs Session #1568 Trends, Issues and Capabilities Understanding Data Warehouse Needs Session #1568 Trends, Issues and Capabilities Dr. Frank Capobianco Advanced Analytics Consultant Teradata Corporation Tracy Spadola CPCU, CIDM, FIDM Practice Lead - Insurance

More information

Crucial Online Marketing Tools Every Marketer Should Know. A checklist for your online marketing success

Crucial Online Marketing Tools Every Marketer Should Know. A checklist for your online marketing success 8 Crucial Online Marketing Tools Every Marketer Should Know A checklist for your online marketing success 8 Crucial Online Marketing Tools Content Personalization and Segmentation Crucial Online Marketing

More information

Animation. Intelligence. Business. Computer. Areas of Focus. Master of Science Degree Program

Animation. Intelligence. Business. Computer. Areas of Focus. Master of Science Degree Program Business Intelligence Computer Animation Master of Science Degree Program The Bachelor explosive of growth Science of Degree from the Program Internet, social networks, business networks, as well as the

More information

Building Your CRM Short List: What You Need to Know Before You Buy

Building Your CRM Short List: What You Need to Know Before You Buy Building Your CRM Short List: What You Need to Know Before You Buy Nov. 28, 2007 Moderator: Matt Villano, senior contributing editor, Campus Technology Introduction Agenda Building your CRM shortlist:

More information

Analytics 2014. Industry Trends Survey. Research conducted and written by:

Analytics 2014. Industry Trends Survey. Research conducted and written by: Analytics 2014 Industry Trends Survey Research conducted and written by: Lavastorm Analytics, the agile data management and analytics company trusted by enterprises seeking an analytic advantage. June

More information

CONFIDENCE TO HIT YOUR NUMBER: Tools That Accelerate and Predict Sales Processes

CONFIDENCE TO HIT YOUR NUMBER: Tools That Accelerate and Predict Sales Processes CONFIDENCE TO HIT YOUR NUMBER: Tools That Accelerate and Predict Sales Processes 01. Executive Summary 02. Background 03. The Problem 04. The Solution 05. Conclusion 06. About Us Executive Summary As competition

More information

Assessing campaign management technology

Assessing campaign management technology Assessing campaign management technology Introduction Table of contents 1: Introduction 2: 1. Can the campaign management platform be used to build a single marketing view of customers? 3: 2: Can the campaign

More information

Presented By: Web Analytics 101. Avoid Common Mistakes and Learn Best Practices. June 2012. Lubabah Bakht, CEO, Vitizo

Presented By: Web Analytics 101. Avoid Common Mistakes and Learn Best Practices. June 2012. Lubabah Bakht, CEO, Vitizo Presented By: Web Analytics 101 Avoid Common Mistakes and Learn Best Practices June 2012 Lubabah Bakht, CEO, Vitizo Web Analytics 101, Lubabah Bakht, June 2012 This 12-page whitepaper provides a deep understanding

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

Moreketing. With great ease you can end up wasting a lot of time and money with online marketing. Causing

Moreketing. With great ease you can end up wasting a lot of time and money with online marketing. Causing ! Moreketing Automated Cloud Marketing Service With great ease you can end up wasting a lot of time and money with online marketing. Causing frustrating delay and avoidable expense right at the moment

More information

Merging Web Analytics with Email Marketing to Increase Performance

Merging Web Analytics with Email Marketing to Increase Performance Merging Web Analytics with Email Marketing to Increase Performance Moderator: David Baker, VP Email Solutions, Avenue A Razorfish Panelists: Bill Nussey, CEO, Silverpop Jay Kulkarni, CEO, Theorem Margie

More information

7 Steps to Successful Data Blending for Excel

7 Steps to Successful Data Blending for Excel COOKBOOK SERIES 7 Steps to Successful Data Blending for Excel What is Data Blending? The evolution of self-service analytics is upon us. What started out as a means to an end for a data analyst who dealt

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

ediscovery: The SAS Solution for ecrm

ediscovery: The SAS Solution for ecrm ediscovery: The SAS Solution for ecrm Alan Gormley E-Intelligence Program Manager SAS Europe, Middle East & Africa Infrastructure Intelligence Hits Today s Focus e-infrastructure 7/24 Response Time Secure

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

Hurwitz ValuePoint: Predixion

Hurwitz ValuePoint: Predixion Predixion VICTORY INDEX CHALLENGER Marcia Kaufman COO and Principal Analyst Daniel Kirsch Principal Analyst The Hurwitz Victory Index Report Predixion is one of 10 advanced analytics vendors included in

More information

SURVEY REPORT DATA SCIENCE SOCIETY 2014

SURVEY REPORT DATA SCIENCE SOCIETY 2014 SURVEY REPORT DATA SCIENCE SOCIETY 2014 TABLE OF CONTENTS Contents About the Initiative 1 Report Summary 2 Participants Info 3 Participants Expertise 6 Suggested Discussion Topics 7 Selected Responses

More information

NEXT GENERATION DECISION SCIENCE FOR the INSURANCE INDUSTRY

NEXT GENERATION DECISION SCIENCE FOR the INSURANCE INDUSTRY INFINILYTICS, INC. NEXT GENERATION DECISION SCIENCE FOR the INSURANCE INDUSTRY Whitepaper series: Big Data, Data Science, Fact-based Decisions, Machine Learning and Advanced Analytics: An Introduction

More information

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ End to End Solution to Accelerate Data Warehouse Optimization Franco Flore Alliance Sales Director - APJ Big Data Is Driving Key Business Initiatives Increase profitability, innovation, customer satisfaction,

More information

Big Data Use Cases. To Start Today. Paul Scholey Sales Director, EMEA. 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555

Big Data Use Cases. To Start Today. Paul Scholey Sales Director, EMEA. 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555 Big Use Cases To Start Today Paul Scholey Sales Director, EMEA 1 Exabytes of We all know the amount of data in the world is growing exponentially 40000 30000 YOU ARE HERE 20000 FROM 2010 TO 2015 77% of

More information

Big Data & Analytics. The. Deal. About. Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 2013 IBM Corporation

Big Data & Analytics. The. Deal. About. Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 2013 IBM Corporation The Big Data & Analytics Deal About Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 1 Big Data is All Data from Everywhere Big Data Is Becoming The Next Natural Resource We

More information