Strata Jumpstart: Proven Techniques for Exploiting Big Data Analytics. Copyright 2011 EMC Corporation. All rights reserved. 1

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Strata Jumpstart: Proven Techniques for Exploiting Big Data Analytics. Copyright 2011 EMC Corporation. All rights reserved. 1"

Transcription

1 Strata Jumpstart: Proven Techniques for Exploiting Big Data Analytics Copyright 2011 EMC Corporation. All rights reserved. 1

2 Companies are looking to exploit big data analytics for competitive advantage Suppliers Manufacturing Inventory Physical Assets Distribution Services Mass Marketing Customers Who are my most valuable customers? What are my most important products? What are my most successful campaigns? Suppliers Manufacturing Inventory Physical Assets Distribution Services Personal Marketing Additional Profits Customers Today s Business Model Big Data Analytics Business Model Copyright 2011 EMC Corporation. All rights reserved. 2

3 Business Valuation Techniques Copyright 2011 EMC Corporation. All rights reserved. 3

4 Technique #1: Use Big Data Analytics worksheet to identify! business impact areas "#$%&'()!*+$,-.%$!/01"2! Detailed structured data (POS, CDR, call center, credit card, RFID) to drive more granular analysis, insights and decisions Unstructured data (social media, machine generated) to drive higher-fidelity analysis, insights and decisions! 9&)(! <(%4,:(=! 3%)#6%#)(=! <4%4! >+$%)#6%#)(=! <4%4!! Increased data velocity to drive low-latency!(real-time) data access, analysis, insights and decisions "#$%&'()! "#$%&'()! "#$%&'()! "#$%&'()! "#$%&'()! 3(+%,'(+%! 3(-'(+%4%,&+! 567#,$,%,&+! 8(%(+%,&+! 94%#)4%,&+! 5+4:;$,$!!!!!!!!! "#$%&$!'(#$! )#%*+,%#! -+.&('$#!.$)'$*&.! "#$%&$!#/-0$#!.$)'$*&%&/(*! %*1!-,+.&$#/*)! '(1$,.! "#$%&$!'(#$! %--+#%&$! -+.&('$#!.$)'$*&.!2/&0!.(-/%,!1%&%! "#$%&$!#/-0$#!.$)'$*&%&/(*! %*1!-,+.&$#/*)! '(1$,.! <4%4!?(:&6,%;! 3/*$4&+*$! -+.&('$#!.$)'$*&%&/(*! '(1$,.!'(#$! 5#$6+$*&,7! 3/*$!&+*$!'(1$,! /*45,/)0&!(5! %-6+/./&/(*! -%'8%/)*.! Leverage more detailed POS data to create more granular, tighter customer micro-segments Leverage un-sampled data to create richer, more accurate segmentation and clustering models!!!!!!!! Leverage social media data to create higherfidelity, more actionable customer segments Leverage more customer attributes to create richer segmentation and clustering models!!!! Fine-tune customer segmentation models more frequently (e.g., immediately after critical events) Update customer acquisitions models and scores daily in-flight of customer marketing campaigns Copyright 2011 EMC Corporation. All rights reserved. 4

5 Technique #2: Porter s Five Forces of Competitive Position business impact analysis New Market Entrants: Entry ease/barriers Geographical factors Incumbents resistance New entrant strategy Routes to market Supplier Power: Brand reputation Geographical coverage Product/service quality Customer relationships Bidding capabilities Competitive Rivalry: Number and size of firms Industry size and trends Fixed v. variable cost bases Product/service ranges Differentiation, strategy Buying Power: Buyer choice Buyers size/number Change cost/frequency Product/service importance Volumes, JIT scheduling Product/Tech Development: Alternatives price/quality Market distribution changes Fashions and trends Legislative effects Michael E. Porter "Competitive Strategy: Techniques for Analyzing Industries and Competitors 1980 Copyright 2011 EMC Corporation. All rights reserved. 5

6 Porter s Five Forces Example: Big Data Analytics to Monetize Merchandising Trends (Retail) Competitive Rivalry Buyer Power Supplier Power Product & Technology New Market Entrants Use cross-media Conversion Attribution Analysis to outflank competition on crosschannel pricing and promotion effectiveness Leverage A/B Testing to provide messaging and placement insights that drive category and market basket growth Leverage Sentiment Analysis to identify micro-population product, pricing and market trends Engage real-time targeting to increase on-site customer monetization Leverage Recommendation Engines to increase shopping cart profitability Leverage detailed POS and RFID data to identify hot products more quickly (lock in supplier terms & conditions) Leverage detailed POS and RFID data to cancel / return slow and no movers faster than competition (minimize markdown management) Provide Dashboard SaaS platform to help suppliers minimize inventory & supply chain costs Use Predictive Analytics to provide in-flight campaign recommendations (optimize campaign performance) Use Hadoop to monitor social media for customer, market and product trends Leverage Social Media and Mobile Data to identify and quantify new product, market and customer developments Copyright 2011 EMC Corporation. All rights reserved. 6

7 Technique #3: Porter s Value Chain big data analytics business impact analysis Support Activities Infrastructure Human Resource Management Technology Development Procurement Inbound Logistics Operations Outbound Logistics Marketing and Sales Service Primary Activities Michael E. Porter "Competitive Strategy: Techniques for Analyzing Industries and Competitors 1980 Copyright 2011 EMC Corporation. All rights reserved. 7

8 Porter s Value Chain Analysis Example: Big Data Analytics to Monetize Merchandising Trends (Retail) Support Activities Primary Activities Distribution Operations Merchandising Advertising Service Use real-time POS data to identify and notify suppliers of potential out-of-stock situations more quickly Use real-time POS and RFID data to manage markdowns, identify slow and no movers and optimize in-store inventory Leverage social media and mobile data to uncover merchandising insights to optimize merchandising performance Use Conversion Attribution Analysis to optimize ad placement and messaging more quickly Infrastructure Human Resources Technology Procurement Deploy predictive, real-time merchandising dashboards to store and department management Use social media data to forecast promotion demand in order to optimize labor scheduling Use in-memory analytics to alert management regarding merchandising performance changes Use merchandising insights from granular POS data to negotiate superior supplier terms and conditions Combine Social Media with POS data to identify potential product or service performance problems Copyright 2011 EMC Corporation. All rights reserved. 8

9 Transform Your Business Transform Yourself Stop By EMC Booth #201 For A Free Gift And Learn How Copyright 2011 EMC Corporation. All rights reserved. 9

Proven Techniques for Exploiting Big Data Analytics Bill Schmarzo CTO, EIM&A EMC Consulting

Proven Techniques for Exploiting Big Data Analytics Bill Schmarzo CTO, EIM&A EMC Consulting Proven Techniques for Exploiting Big Data Analytics Bill Schmarzo CTO, EIM&A EMC Consulting 1 5x 2 The Big Data Analytics Business Opportunity Through 2015, organizations integrating high value, diverse

More information

Capitalizing on the power of big data for retail

Capitalizing on the power of big data for retail IBM Software Big Data Retail Capitalizing on the power of big data for retail Adopt new approaches to keep customers engaged, maintain a competitive edge and maximize profitability 2 Capitalizing on the

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

Qlik Solutions per il Retail. Giorgio Dossena 10 June, 2015

Qlik Solutions per il Retail. Giorgio Dossena 10 June, 2015 Qlik Solutions per il Retail Giorgio Dossena 10 June, 2015 CUSTOMER TRANSFORMATION TIMELINE Introduction of commuting to stores Introduction of Self Service Retail Introduction of convenience Consumerization

More information

Top 5 Transformative Analytics Applications in Retail

Top 5 Transformative Analytics Applications in Retail Top 5 Transformative Analytics Applications in Retail Learn how you can boost your bottom line and acquire engaged, happy customers with actionable insight from the world s most comprehensive analytics

More information

The Retail Analytics Challenge: Smarter Retail through Advanced Analytics & Optimization

The Retail Analytics Challenge: Smarter Retail through Advanced Analytics & Optimization Smarter Retail The Retail Analytics Challenge: Smarter Retail through Advanced Analytics & Optimization 2011 IBM Corporation Connecting With the Digital Customer the Retail Challenge 88.8% increase in

More information

Just-in-Time Marketing: Lessons from the Masters

Just-in-Time Marketing: Lessons from the Masters Just-in-Time Marketing: Lessons from the Masters Marketers have changed the way they engage consumers, but have their changes taken them all the way back to the factory floor where marketing is produced?

More information

and Analytic s i n Consu m e r P r oducts

and Analytic s i n Consu m e r P r oducts Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.988.7900 F.508.988.7881 www.idc-mi.com Creating Big O p portunities with Big Data and Analytic s i n Consu m e r P r oducts W H I T E

More information

QlikView for supply chain

QlikView for supply chain QlikView for supply chain Consumer products qlik.com QlikView for the consumer products supply chain Political Increased regulatory and compliance pressures Political uncertainty Heightened environmental

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

QlikView for retail & wholesale

QlikView for retail & wholesale QlikView for retail & wholesale Increase revenue, minimize margin erosion, and earn customer loyalty qlik.com Users are very enthusiastic! They can finally access, view and analyze all the data required

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

Australia Intelligent Transport System.pdf

Australia Intelligent Transport System.pdf http://www.gosreports.com Analytics as a Service Market by Solutions (Financial Analytics, Risk Analytics, Customer Analytics, Marketing Analytics, Sales Analytics, Web & Social Media Analytics, Supply

More information

Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator

Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator Introduction Enterprise Data Hub Accelerator Retail Sector Use Cases Capabilities Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator Introduction Enterprise Data Hub Accelerator

More information

A New Retail Paradigm: Solving Big Data to Enhance Real-Time Retailing. Sahir Anand VP & Research Group Director Retail Practice

A New Retail Paradigm: Solving Big Data to Enhance Real-Time Retailing. Sahir Anand VP & Research Group Director Retail Practice 1 A New Retail Paradigm: Solving Big Data to Enhance Real-Time Retailing Sahir Anand VP & Research Group Director Retail Practice 2 Analyst Bio Sahir Anand Vice-President & Research Group Director, Retail

More information

QlikView for Supply Chain. Consumer Products

QlikView for Supply Chain. Consumer Products QlikView for Supply Chain Consumer Products QlikView for the Consumer Products Supply Chain Political Increased regulatory and compliance pressures Political uncertainty Heightened environmental concerns

More information

Driving Better Marketing Results with Big Data and Analytics David Corrigan, IBM, Director of Product Marketing

Driving Better Marketing Results with Big Data and Analytics David Corrigan, IBM, Director of Product Marketing Driving Better Marketing Results with Big Data and Analytics David Corrigan, IBM, Director of Product Marketing Optimizing Marketing with Big Data and Analytics Leverage Social Media Datacentric Marketing

More information

Understanding the Real Impact of Social Media Monitoring on the Value Chain

Understanding the Real Impact of Social Media Monitoring on the Value Chain March 2013 Understanding the Real Impact of Social Media Monitoring on the Value Chain More and more companies have turned to social media monitoring or social listening tools to find the critical insights

More information

Accenture Business Intelligence for Fashion and Luxury. Creating a Differentiated Customer Experience for Long-term Brand Loyalty

Accenture Business Intelligence for Fashion and Luxury. Creating a Differentiated Customer Experience for Long-term Brand Loyalty Accenture Business Intelligence for Fashion and Luxury Creating a Differentiated Customer Experience for Long-term Brand Loyalty Fashion is inherently an ever-changing industry. Customer preferences fluctuate

More information

INCREASE SALES 20% OR MORE WITH SHIP-FROM-STORE

INCREASE SALES 20% OR MORE WITH SHIP-FROM-STORE INCREASE SALES 20% OR MORE WITH SHIP-FROM-STORE Deployed in 99 Days Consumers expect products to be available when they want them. If not, they will turn to competitors, resulting in lost sales. Ship-From-Store

More information

3 Ways Retailers Can Capitalize On Streaming Analytics

3 Ways Retailers Can Capitalize On Streaming Analytics 3 Ways Retailers Can Capitalize On Streaming Analytics > 2 Table of Contents 1. The Challenges 2. Introducing Vitria OI for Streaming Analytics 3. The Benefits 4. How Vitria OI Complements Hadoop 5. Summary

More information

Using Analytics to Improve Your Interactions with Customers

Using Analytics to Improve Your Interactions with Customers Consulting Using Analytics to Improve Your Interactions with Customers By Mike McGuirk, Consulting Services Using Analytics to Improve Your Interactions with Customers The use of customer analytics across

More information

White Paper. Real-time Customer Engagement and Big Data are Changing Marketing

White Paper. Real-time Customer Engagement and Big Data are Changing Marketing Real-time Customer Engagement and Big Data are Changing Marketing Real-time Customer Engagement and Big Data are Changing Marketing Marketing is rapidly approaching to what marketers have often dreamed

More information

Securing Stakeholder Buy In for Big Data Initiatives

Securing Stakeholder Buy In for Big Data Initiatives Copyright 2014 EMC Corporation. All rights reserved. 1 CDM Big Data Summit, May 2014 Securing Stakeholder Buy In for Big Data Initiatives Joshua Siegel, EMC Professional Services Big Data is changing the

More information

Brazilian Mobile Advertising Services Market Application-to-peer SMS Advertising is Expected to Generate a CAGR of 55.

Brazilian Mobile Advertising Services Market Application-to-peer SMS Advertising is Expected to Generate a CAGR of 55. Brazilian Mobile Advertising Services Market Application-to-peer SMS Advertising is Expected to Generate a CAGR of 55.5% until 2019 9838-65 January 2015 Contents Section Slide Number Executive Summary

More information

Enterprise Big Data Use Cases Susheel Kaushik Senior Director, Product Management, Greenplum, EMC

Enterprise Big Data Use Cases Susheel Kaushik Senior Director, Product Management, Greenplum, EMC Enterprise Big Data Use Cases Susheel Kaushik Senior Director, Product Management, Greenplum, EMC PROPRIETARY INFORMATION. ALL RIGHTS RESERVED 1 Big Data Pioneers 1,000,000,000 Queries A Day 250,000,000

More information

Retail Marketing Strategy

Retail Marketing Strategy Chapter 5 Retail Marketing Strategy PPT McGraw-Hill/Irwin 5-1 Levy/Weitz: Retailing Management, 5/e Copyright 2004 by The McGraw-Hill Companies, Inc. All rights reserved. Elements in Retail Strategy Target

More information

Integrating CRM with ERP

Integrating CRM with ERP Integrating CRM with ERP A by Benjamin Castro Copyright 2002, Baseline Consulting Group. All Rights Reserved. INTRODUCTION... 2 COMPANIES LOOKING FOR EFFICIENCY WILL TURN TO ERP VENDORS 3 COMPANIES LOOKING

More information

Client focused. Results driven. Ciber Retail Solutions

Client focused. Results driven. Ciber Retail Solutions Client focused. Results driven. Ciber Retail Solutions Multi-Channel Retailing Retailers are confronted by a downturn in consumer spending, ever-tighter margins, emerging shopping patterns, empowered consumers

More information

Analyzing an Industry s Structure. Game-1303 Intro to Game Dev Sara R. Farr

Analyzing an Industry s Structure. Game-1303 Intro to Game Dev Sara R. Farr Analyzing an Industry s Structure Game-1303 Intro to Game Dev Sara R. Farr Game Industry Segments Some of the Game Industry Segments are: Console (Hardware or Software) PC Handheld Mobile Casual Online

More information

BUY BIG DATA IN RETAIL

BUY BIG DATA IN RETAIL BUY BIG DATA IN RETAIL Table of contents What is Big Data?... How Data Science creates value in Retail... Best practices for Retail. Case studies... 3 7 11 1. Social listening... 2. Cross-selling... 3.

More information

QlikView for manufacturing industries

QlikView for manufacturing industries QlikView for manufacturing industries Boost profitability, customer satisfaction and loyalty, and reduce risk. qlik.com With QlikView s ability to enable IT groups to rapidly deploy applications, we are

More information

The Operational Implications of Omnichannel Retailing

The Operational Implications of Omnichannel Retailing The Operational Implications of Omnichannel Retailing How Creating a Balanced Retail Strategy Can Increase Basket Size, Grow Conversion Rates, and Reduce Inventory Losses By Edward Westenberg, Bharat Popat,

More information

Oracle Retail Customer Engagement Cloud Services

Oracle Retail Customer Engagement Cloud Services OR A C L E D A T A S H E E T Oracle Retail Customer Engagement Cloud Services Oracle Retail Customer Engagement Cloud Services is a suite of integrated cloud services designed to drive incremental revenue

More information

NCR Counterpoint Retail Management Solutions. Powered by NCR Corporation

NCR Counterpoint Retail Management Solutions. Powered by NCR Corporation NCR Counterpoint Retail Management Solutions Powered by NCR Corporation NCR Counterpoint Solution Overview In specialty retail it s not enough to market great products. You need to differentiate yourself

More information

4 Ways Retailers Can Beat the Competition. (With Data They Already Have)

4 Ways Retailers Can Beat the Competition. (With Data They Already Have) 4 Ways Retailers Can Beat the Competition (With Data They Already Have) On the surface, the retail data playing field looks fairly level. From big-box retailers like Walmart to small, independent boutiques,

More information

MERCHANDISE VISIBILITY SOLUTION. Helping retailers reduce out-of-stocks, reduce on-hand inventory and increase sales

MERCHANDISE VISIBILITY SOLUTION. Helping retailers reduce out-of-stocks, reduce on-hand inventory and increase sales MERCHANDISE VISIBILITY SOLUTION Helping retailers reduce out-of-stocks, reduce on-hand inventory and increase sales MERCHANDISE VISIBILITY SOLUTION POWERFUL INSIGHTS, ENABLING REAL-TIME RETAIL OPERATIONS

More information

TIBCO Industry Analytics: Consumer Packaged Goods and Retail Solutions

TIBCO Industry Analytics: Consumer Packaged Goods and Retail Solutions TIBCO Industry Analytics: Consumer Packaged Goods and Retail Solutions TIBCO s robust, standardsbased infrastructure technologies are used by successful retailers around the world, including five of the

More information

Beyond listening Driving better decisions with business intelligence from social sources

Beyond listening Driving better decisions with business intelligence from social sources Beyond listening Driving better decisions with business intelligence from social sources From insight to action with IBM Social Media Analytics State of the Union Opinions prevail on the Internet Social

More information

NCR LOYALTY PRO. For more information visit ncr.com

NCR LOYALTY PRO. For more information visit ncr.com NCR LOYALTY PRO For more information visit ncr.com NCR Loyalty Pro: fulfilling any marketing whim and want The food, drug, and mass merchandise segment is characterized by fierce competition, with customers

More information

Location Analytics for. Marketing A Knowledge Brief

Location Analytics for. Marketing A Knowledge Brief Location Analytics for Marketing A Knowledge Brief Improving Customer Insight and Intimacy with Location Analytics This use case details how Esri helps companies enhance the performance of marketing campaigns

More information

SOLUTION OVERVIEW SAS MERCHANDISE INTELLIGENCE. Make the right decisions through every stage of the merchandise life cycle

SOLUTION OVERVIEW SAS MERCHANDISE INTELLIGENCE. Make the right decisions through every stage of the merchandise life cycle SOLUTION OVERVIEW SAS MERCHANDISE INTELLIGENCE Make the right decisions through every stage of the merchandise life cycle Deliver profitable returns and rewarding customer experiences Challenges Critical

More information

Achieving Business Value through Big Data Analytics Philip Russom

Achieving Business Value through Big Data Analytics Philip Russom Achieving Business Value through Big Data Analytics Philip Russom TDWI Research Director for Data Management October 3, 2012 Sponsor 2 Speakers Philip Russom Research Director, Data Management, TDWI Brian

More information

Guide. Omni-Channel Order Management

Guide. Omni-Channel Order Management Guide Omni-Channel Order Management Omni-Channel Order Management Guide 02 Omni-Channel Order Management Guide The retail industry is undergoing a phenomenal transformation. Technological advances and

More information

Next-generation e-commerce for retail: How to optimize cross-channel marketing, sales and service.

Next-generation e-commerce for retail: How to optimize cross-channel marketing, sales and service. Next-generation e-commerce for retail: How to optimize cross-channel marketing, sales and service. > ATTRACT AND RETAIN HIGHLY PROFITABLE CUSTOMERS > PROVIDE SEAMLESS CROSS-CHANNEL SHOPPING > EXTEND CAPABILITIES

More information

SEE YOUR BUSINESS DIFFERENTLY

SEE YOUR BUSINESS DIFFERENTLY SEE YOUR BUSINESS DIFFERENTLY The role of video surveillance has evolved from solely a loss prevention tool to a valuable asset that can be used by the entire organization to help identify efficiencies

More information

for Retail One solution connects retail end-to-end, driving growth and fostering customer relationships.

for Retail One solution connects retail end-to-end, driving growth and fostering customer relationships. Microsoft Dynamics for Retail One solution connects retail end-to-end, driving growth and fostering customer relationships. Our vision is to empower midsized and enterprise retailers with a seamless and

More information

QlikView for Supply Chain. Chemical and Mill Products

QlikView for Supply Chain. Chemical and Mill Products QlikView for Supply Chain Chemical and Mill Products QlikView for the Chemical and Mill Products Supply Chain Political Increased regulatory and compliance pressures Political uncertainty Heightened environmental

More information

'LJL7D/ 0(',$ 0JPW Digital Strategies tisdag den 29 september 2009

'LJL7D/ 0(',$ 0JPW Digital Strategies tisdag den 29 september 2009 Digital Strategies The beginning of the end Today - Internet & Strategy Tuesday 29th - Management and ethics Wednesday (30th) - Seminar presentations Next Wednesday (7th)- Seminar presentations Thursday

More information

Leveraging Existing Business Data to Build Effective and Lucrative Omnichannel Retail Experiences

Leveraging Existing Business Data to Build Effective and Lucrative Omnichannel Retail Experiences Most retailers have seen the need to create omnichannel customer experiences. Leveraging Existing Business Data to Build Effective and Lucrative Omnichannel Retail Experiences TECHBLOCKS WHITEPAPER Leveraging

More information

Delivering a Smarter Shopping Experience with Predictive Analytics:

Delivering a Smarter Shopping Experience with Predictive Analytics: IBM Software Business Analytics Retail Delivering a Smarter Shopping Experience with Predictive Analytics: Innovative Retail Strategies Delivering a Smarter Shopping Experience with Predictive Analytics:

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

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

QlikView for Supply Chain. High Tech

QlikView for Supply Chain. High Tech QlikView for Supply Chain High Tech QlikView for the High Tech Supply Chain Political Increased regulatory and compliance pressures Political uncertainty Heightened environmental concerns Demand for sustainable

More information

Sales success through optimised processes from branch to head office. Retail Software Solutions

Sales success through optimised processes from branch to head office. Retail Software Solutions Sales success through optimised processes from branch to head office Retail Software Solutions Introduction Finely fitted targeted expertise from the global partner for retail success MICROS-Retail, the

More information

Drive Business Further Faster With RetailNext

Drive Business Further Faster With RetailNext Drive Business Further Faster With RetailNext Built especially for retailers, RetailNext is a scalable in-store analytics platform that makes it easy for you to collect, analyze, and visualize data about

More information

Customer Insight Appliance. Enabling retailers to understand and serve their customer

Customer Insight Appliance. Enabling retailers to understand and serve their customer Customer Insight Appliance Enabling retailers to understand and serve their customer Customer Insight Appliance Enabling retailers to understand and serve their customer. Technology has empowered today

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

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

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

CLEAR DIRECTION ON USING BIG DATA TO SOLVE RETAIL PROBLEMS

CLEAR DIRECTION ON USING BIG DATA TO SOLVE RETAIL PROBLEMS BRICK MEETS CLICK BIG DATA UPDATE, 4Q 2014 CLEAR DIRECTION ON USING BIG DATA TO SOLVE RETAIL S A look at impact vs. effort We help organizations find growth opportunities as traditional and digital food

More information

Retail Analytics & Merchandise Planning System (RAMP) Smarter Retailing from Professional Advantage

Retail Analytics & Merchandise Planning System (RAMP) Smarter Retailing from Professional Advantage Retail Analytics & Merchandise Planning System (RAMP) Smarter Retailing from Professional Advantage When it comes to merchandise planning, many retailers are restricted by a lack of timely and accurate

More information

Marketing Analytics. September 28, 2011

Marketing Analytics. September 28, 2011 Marketing Analytics September 28, 2011 Agenda Industry Statistics Industry briefs Demo Summary Gartner Industry Stats enterprise data... is expected to grow by 650% in the next five years 80% of that the

More information

Welcome to Retail in the Cloud

Welcome to Retail in the Cloud Welcome to Retail in the Cloud Retail in Realtime Retail.net is a cloud-based SaaS solution across merchandising, pricing, inventory, operations and the customer experience. Everything is connected. In

More information

Maximizing Returns through Advanced Analytics in Transportation

Maximizing Returns through Advanced Analytics in Transportation Maximizing Returns through Advanced Analytics in Transportation Table of contents Industry Challenges 1 Use Cases for High Performance Analytics 1 Fleet Optimization / Predictive Maintenance 1 Network

More information

Page 1. Transform the Retail Store with the Internet of Things

Page 1. Transform the Retail Store with the Internet of Things Page 1 Transform the Retail Store with the Internet of Things The Internet of Things is here today There s a new era dawning in the retail industry, and it s being driven by the Internet of Things. The

More information

DETERMINE THE BUSINESS POTENTIAL OF BIG DATA ANALYTICS

DETERMINE THE BUSINESS POTENTIAL OF BIG DATA ANALYTICS DETERMINE THE BUSINESS POTENTIAL OF BIG DATA ANALYTICS Analytics Valuation Methodology: a proven technique for successfully exploiting big data analytics EMC PERSPECTIVE Big Data and advanced analytics

More information

Resource Library. Consumer Location-Based Analytics Deliver Actionable Insights. From Platt Retail Institute s. Bringing Research to Retail SM

Resource Library. Consumer Location-Based Analytics Deliver Actionable Insights. From Platt Retail Institute s. Bringing Research to Retail SM From Platt Retail Institute s Resource Library Bringing Research to Retail SM See the entire PRI Resource Library at www.plattretailinstitute.org/library. Consumer Location-Based Analytics Deliver Actionable

More information

WebSphere Commerce V7 Management Center

WebSphere Commerce V7 Management Center Juha Nevalainen WebSphere Commerce Technical Specialist April 20 WebSphere Commerce V7 Management Center Introduction Proof of Technology Agenda What is WebSphere Commerce WebSphere Commerce Focus Areas

More information

Maximize Sales and Margins with Comprehensive Customer Analytics

Maximize Sales and Margins with Comprehensive Customer Analytics Q Customer Maximize Sales and Margins with Comprehensive Customer Analytics Struggling to connect the dots between Marketing, Merchandising and Store Ops? With the explosion of customer interaction systems,

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

Technological Tools Trends:

Technological Tools Trends: Technological Tools Trends: Prediction Models, Business Intelligence, Big Data and Multichannel Communications James Grace, Contact Center Consultant What is Big Data? Tema según el cronograma What is

More information

Social Media Analysis and Audience Engagement

Social Media Analysis and Audience Engagement Solution in Detail Media and Marketing Executive Summary Contact Us Social Media Analysis and Audience Engagement Analyze Social Media and Engage Customers Audience Engagement Consumer Experiences Social

More information

SAS. for Grocery. Empowering grocers to engage customers at every turn

SAS. for Grocery. Empowering grocers to engage customers at every turn INDUSTRY OVERVIEW SAS for Grocery Empowering grocers to engage customers at every turn The grocery industry has changed. To withstand the onslaught of growing competitive pressures, most grocers have embraced

More information

Big Data. Experiences from other industries Nordic ehealth Exchange Orlando, February 23, 2014

Big Data. Experiences from other industries Nordic ehealth Exchange Orlando, February 23, 2014 Big Data Experiences from other industries Nordic ehealth Exchange Orlando, February 23, 2014 Our clients operate in a world defined by data Things From the human genome to smart meters, from set-top boxes

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

Application of Big Data in Retail

Application of Big Data in Retail Application of Big Data in Retail 5Ways Retailers Can Use Big Data Analytics Contents Executive Summary No Dearth of Data Big Data Analytics in Retail: Five Areas to Focus 3 4 5 Personalization ecommerce

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 Thomas B Kuruvilla, Solution Management, SAP Business Intelligence Scott Leaver, Solution Management, SAP Business

More information

Store Inventory Management Market Outlook & Product Overview

Store Inventory Management Market Outlook & Product Overview Store Inventory Management Market Outlook & Product Overview Jeanette Ringwelski, Product Strategy Manager THE FOLLOWING IS INTENDED TO OUTLINE OUR GENERAL PRODUCT DIRECTION. IT IS INTENDED FOR INFORMATIONAL

More information

QlikView for Supply Chain. Automotive, Industrial and Aerospace

QlikView for Supply Chain. Automotive, Industrial and Aerospace QlikView for Supply Chain Automotive, Industrial and Aerospace QlikView for the Automotive, Industrial and Aerospace Supply Chain Political Increased regulatory and compliance pressures Political uncertainty

More information

Optimize Revenue for High-Volume Service Providers with Pricing Simulation

Optimize Revenue for High-Volume Service Providers with Pricing Simulation SAP Brief SAP Billing and Revenue Innovation Management SAP Convergent Pricing Simulation Objectives Optimize Revenue for High-Volume Service Providers with Pricing Simulation Tailor pricing strategies

More information

Endeavour Dynamics Offering

Endeavour Dynamics Offering Endeavour Dynamics Offering Microsoft Dynamics AX 2012 is recognised as a global leading ERP system that supports a single instance strategy for medium to large enterprise companies. Endeavour is proud

More information

Leveraging Video Analytics to Boost Total In-Store Performance

Leveraging Video Analytics to Boost Total In-Store Performance Retail Store Optimization Leveraging Video Analytics to Boost Total In-Store Performance The Intelligent Store Series Whitepaper Page 1 R etail organizations have been using video surveillance as a valuable

More information

Tools and techniques Ansoff s matrix

Tools and techniques Ansoff s matrix Tools and techniques Ansoff s matrix Its four strategic options, below, for corporate growth, (see above) are briefly explained by Professor McDonald: Market penetration 1. Of the four strategic options

More information

Why Consumer Empowerment is moving retailers from Product Centricity to Customer Centricity

Why Consumer Empowerment is moving retailers from Product Centricity to Customer Centricity Why Consumer Empowerment is moving retailers from Product Centricity to Customer Centricity CONSUMER TRANSFORMATION TIMELINE Transformation Phase Transformation Phase Transformation Phase Transformation

More information

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved.

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved. Mike Maxey Senior Director Product Marketing Greenplum A Division of EMC 1 Greenplum Becomes the Foundation of EMC s Big Data Analytics (July 2010) E M C A C Q U I R E S G R E E N P L U M For three years,

More information

COMPARISON SHOPPING. be seen. COMPARISON SHOPPING GIVES RETAILERS THE ABILITY TO:

COMPARISON SHOPPING. be seen. COMPARISON SHOPPING GIVES RETAILERS THE ABILITY TO: DATA SHEET be seen. COMPARISON SHOPPING Whether it s Google Shopping, GetPrice, Nextag or Shopbot.com.au, ChannelAdvisor supports more than 130 individual comparison shopping engines to make your products

More information

Strategic Elements of Competitive Advantage. PPT 6 (First ppt slides after the mid-term) Assist. Prof. Dr. Ayşen Akyüz

Strategic Elements of Competitive Advantage. PPT 6 (First ppt slides after the mid-term) Assist. Prof. Dr. Ayşen Akyüz Strategic Elements of Competitive Advantage PPT 6 (First ppt slides after the mid-term) Assist. Prof. Dr. Ayşen Akyüz Industry Analysis: Forces Influencing Competition Industry group of firms that produce

More information

THE ULTIMATE ACCESS TO EUROPE S BIG DATA ANALYTICS LEADERS, EXPERTS, AND BUYERS ACROSS TOP INDUSTRY VERTICALS. 29-30 November 2016 RAI Amsterdam

THE ULTIMATE ACCESS TO EUROPE S BIG DATA ANALYTICS LEADERS, EXPERTS, AND BUYERS ACROSS TOP INDUSTRY VERTICALS. 29-30 November 2016 RAI Amsterdam 29-30 November 2016 RAI Amsterdam THE ULTIMATE ACCESS TO EUROPE S BIG DATA ANALYTICS LEADERS, EXPERTS, AND BUYERS ACROSS TOP INDUSTRY VERTICALS #AWCongress www.analytics-world-congress.com brought to you

More information

Infor Supply Chain Execution

Infor Supply Chain Execution Manufacturing Infor Supply Chain Execution Reinvent supply chain execution It s no longer enough to optimize the performance of each segment of your supply chain. You need to view and operate your entire

More information

Big Data as a Service Market by Type of Solutions (Hadoop as a Service, Data as a Service, Data Analytics as a Service) - Global Forecast to 2020

Big Data as a Service Market by Type of Solutions (Hadoop as a Service, Data as a Service, Data Analytics as a Service) - Global Forecast to 2020 Brochure More information from http://www.researchandmarkets.com/reports/3429881/ Big Data as a Service Market by Type of Solutions (Hadoop as a Service, Data as a Service, Data Analytics as a Service)

More information

MARKETPLACES. be seen. CHANNELADVISOR MARKETPLACES WILL ENABLE YOU TO: And Many More

MARKETPLACES. be seen. CHANNELADVISOR MARKETPLACES WILL ENABLE YOU TO: And Many More DATA SHEET be seen. MARKETPLACES Amazon, ebay and other marketplaces like Jet.com, Newegg and Sears account for a growing portion of global online retail sales. Online retailers of all sizes are recognizing

More information

Continuous Customer Dialogues

Continuous Customer Dialogues Continuous Customer Dialogues STRATEGIES FOR GROWTH AND LOYALTY IN MULTI-CHANNEL CUSTOMER-ORIENTED ORGANIZATIONS whitepaper TABLE OF CONTENTS: PAGE Overview...3 The Continuous Customer Dialogue Vision...4

More information

How to Cheat and Make Better Decisions with Predictive Analytics. Track 1 Session 3

How to Cheat and Make Better Decisions with Predictive Analytics. Track 1 Session 3 How to Cheat and Make Better Decisions with Predictive Analytics Track 1 Session 3 Robert Heaney - Title: Lead Analyst, Supply Chain Management - Company: Aberdeen Group - Email : Bob.Heaney@Aberdeen.com

More information

How Smart, Connected Products are Transforming Competition

How Smart, Connected Products are Transforming Competition How Smart, Connected Products are Transforming Competition Professor Michael E. Porter Harvard Business School James Heppelmann President & CEO, PTC Executive Event Munich, Germany January 21, 2015 This

More information

Streaming Analytics Market by Verticals - Worldwide Market Forecast & Analysis (2015-2020)

Streaming Analytics Market by Verticals - Worldwide Market Forecast & Analysis (2015-2020) Brochure More information from http://www.researchandmarkets.com/reports/3276778/ Streaming Analytics Market by Verticals - Worldwide Market Forecast & Analysis (2015-2020) Description: Streaming Analytics

More information

Big Data. Fast Forward. Putting data to productive use

Big Data. Fast Forward. Putting data to productive use Big Data Putting data to productive use Fast Forward What is big data, and why should you care? Get familiar with big data terminology, technologies, and techniques. Getting started with big data to realize

More information

Between December 2009 and January 2010, Aberdeen surveyed

Between December 2009 and January 2010, Aberdeen surveyed Fast-Track Cross-Channel Gains: The Final Frontier for Customer Share of Wallet Sahir Anand, RESEARCH DIRECTOR, RETAIL, HOSPITALITY, & BANKING, ABERDEEN GROUP Chris Cunnane, SENIOR RESEARCH ASSOCIATE,

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

Point of View Data, data everywhere... but not a drop to drink

Point of View Data, data everywhere... but not a drop to drink We make it happen. Better. Point of View Data, data everywhere... but not a drop to drink A paper by Hitachi Consulting Data Analytics & Supply Chain Data analytics and supply chain Data is lying about

More information