SlideShare a Scribd company logo
WGSN Group is a strategic intelligence, insight, and trends company. With offices throughout Europe, Asia, North and South America, and the Middle East, WGSN Group provides a combination of Big Data, deep intelligence, and sharp creative judgment to help its customers seize opportunities in accelerating markets. WGSN is a subsidiary of Top Right Group, an enabling company of media and information intelligence firms. 
CHALLENGE 
New Service Requires Maximum Performance and Scalability 
WGSN Group identified a promising opportunity to create a new market intelligence service that would help fashion retailers make crucial merchandising decisions. The service would need to gather and process huge volumes of product, sales, and pricing data gathered from across the industry—and would grow exponentially as the user base expanded. To successfully roll out the new service, named WGSN INstock, the company required an information infrastructure with the performance and scalability to handle both current and future Big Data requirements. 
After evaluating offerings from EMC®, NetApp, and IBM, WGSN chose EMC Isilon® scale-out storage along with Pivotal™ Greenplum® Database and Pivotal HD (Pivotal’s Hadoop distribution) to provide a comprehensive Big Data analytics solution. 
Sean Harley, group IT director at Top Right Group, explains, “Performance, scalability, and tight integration with Hadoop were the key reasons we chose Isilon. We also felt very comfortable with the partnership between EMC and Pivotal. In the end, the EMC and Pivotal solution offered the ideal balance of storage and compute with the right level of support.” 
SOLUTION 
Meeting Rigorous Performance Demands 
WGSN deployed EMC Isilon scale-out NAS integrated with Pivotal Greenplum Database and Pivotal HD. Isilon solution provides Hadoop Distributed File System (HDFS) storage services directly 
AT-A-GLANCE 
Challenges 
• 
Rapidly launch new market intelligence service for fashion retailers 
• 
Support large and growing volumes of Big Data 
Solution 
• 
EMC Isilon Scale-out NAS 
• 
Pivotal Greenplum Database 
• 
Pivotal HD 
• 
WGSN INstock 
Key Benefits 
• 
Streamlined deployment with native Hadoop integration 
• 
Enabled rapid launch of new market intelligence service 
• 
Delivered high performance and streamlined scalability for growing Big Data assets 
• 
Simplified platform administration 
CASE STUDY 
SUPPORTING RAPID LAUNCH OF GAME-CHANGING MARKET INTELLIGENCE SERVICE FOR RETAILERS WITH HADOOP 
OVERVIEW 
“ Together, EMC and Pivotal have a complete technology stack to address our end-to-end analytics and Big Data needs.” 
— Sean Harley, Group IT Director, Top Right Group 
pivotal.io
Pivotal is a registered trademark or trademark of Pivotal Software, Inc. in the United States and other countries. All other trademarks used herein are the property of their respective owners. © Copyright 2014 Pivotal Software, 
Inc. All rights reserved. Published in the USA. PVTL-CS-344-12/13 
At Pivotal our mission is to enable customers to build a new class of applications, leveraging big and fast data, and do all of this with the power of cloud independence. 
Uniting selected technology, people and programs from EMC and VMware, the following products and services are now part of Pivotal: Greenplum, Cloud Foundry, Spring, 
GemFire and other products from the VMware vFabric Suite, Cetas and Pivotal Labs. 
CASE STUDY WGSN GROUP 
Pivotal 1900 S Norfolk Street San Mateo CA 94403 pivotal.io 
to Pivotal HD’s compute modules—enabling high-performance 
transformation of raw data into market intelligence. 
Running WGSN’s INstock retail analytics service, the Isilon and 
Pivotal platform brings together details on thousands of brands 
from major retailers across the UK and North America into a 
single, consolidated portal. Through this innovative web service, 
INstock enables buyers and merchandisers to easily compare 
competitive offerings; track sales, pricing, and markdowns; and 
produce rich graphical charts of color mixes and style selections 
to optimize their inventories and pricing. 
EMC provided design and implementation services to ensure 
the Isilon and Pivotal data products would meet the rigorous 
performance demands of the WGSN INstock service. “We were 
impressed with EMC’s Big Data knowledge and experience, which 
was very beneficial throughout the planning and design of the 
solution,” notes Harley. 
BUSINESS BENEFITS 
EMC and Pivotal deliver the following business benefits to WSGN: 
Hadoop Integration Streamlined Service Launch 
Getting WGSN INstock to market quickly was a critical aspect of 
the company’s competitive strategy. After finalizing the analytics 
platform, the company deployed Isilon with Pivotal Greenplum 
Database and Pivotal HD in less than four weeks. 
“Because the two platforms are so tightly integrated, Isilon 
and Pivotal saved our development team considerable time on 
implementation,” Harley remarks. “The native integration with 
Hadoop also really streamlined the deployment process.” 
He adds, “Now that WGSN INstock is in production, we find 
it very easy to administer. We were even able to plug our 
monitoring solution into the system so we can proactively 
address any potential issues.” 
Delivering Game-Changing Market Intelligence 
With Isilon and Pivotal, WGSN Group now has the high-performance, 
scale-out solution it needs to power WGSN INstock 
and enable retailers to gain a new level of market intelligence. 
Serving an industry that continues to wrestle with shorter product 
cycles and more informed online consumers, WGSN INstock 
currently processes more than 3,000,000 data points on 250,000 
fashion products gathered from the world’s largest and most 
significant online stores. By rapidly transforming this raw data, 
Isilon and Pivotal empower retailers with up-to-the-minute market 
intelligence that enables better, faster business decisions. 
“WGSN INstock is the biggest initiative in WGSN Group’s history 
and a real game-changer in the fashion industry,” says Harley. 
“Isilon and Pivotal deliver the performance and stability we need 
to drive this product launch. We’re confident the solution will 
easily handle our anticipated growth as we extend the reach of 
INstock further into the market.” 
To ensure success, WGSN Group is also working with Pivotal’s 
Data Science team to bring together the new data sources 
to drive new trend forecasting models. As Managing Director 
Product, Juliet Bauer says, “Our customers need increasingly 
sophisticated models to help them predict what will sell. We can 
satisfy that need.” 
Primed for Rapid Growth of Big Data 
WGSN INstock collects product data exclusively on a number of 
product categories across a large range of retailers, but WGSN 
Group expects the number of retailers and range of fashion 
market sectors to expand significantly in coming years. “By 
choosing Isilon and Pivotal products, we’re able to scale easily 
and keep adding more retailers and Big Data streams without 
sacrificing performance,” says Harley. 
He also points out that the partnership between EMC and Pivotal 
is important for opening additional opportunities to provide 
analytical services both internally and externally. “Together, EMC 
and Pivotal have a complete technology stack to address our 
end-to-end analytics and Big Data needs,” Harley concludes. “We 
look to EMC and Pivotal as strategic partners, not just product 
vendors. That partnership will be especially valuable to us as we 
explore ways to use analytics tools elsewhere at WGSN Group 
and other Top Right Group companies as we continue enhancing 
our knowledge-based solutions.” 
LEARN MORE 
To learn more about our products, services and solutions, visit us 
at pivotal.io.

More Related Content

What's hot

Graduation Project Presentation
Graduation Project PresentationGraduation Project Presentation
Graduation Project Presentation
Ranvijay Singh
 
Fastrack | Integrated Marketing Program
Fastrack | Integrated Marketing ProgramFastrack | Integrated Marketing Program
Fastrack | Integrated Marketing Program
Rohit Rohan
 
Analysing Product gaps in retail apparel sector.
Analysing Product gaps in retail  apparel sector.Analysing Product gaps in retail  apparel sector.
Analysing Product gaps in retail apparel sector.
DILIP PENUGONDA
 
Quality Management ZARA
Quality Management ZARAQuality Management ZARA
Quality Management ZARA
pangarso_adi
 
Assortment Planning - United Colors of Benetton
Assortment Planning - United Colors of BenettonAssortment Planning - United Colors of Benetton
Assortment Planning - United Colors of Benetton
Delwin Arikatt
 

What's hot (20)

International Business Development MaxMara Group
International Business Development MaxMara GroupInternational Business Development MaxMara Group
International Business Development MaxMara Group
 
Graduation Project Presentation
Graduation Project PresentationGraduation Project Presentation
Graduation Project Presentation
 
Raymond Ltd
Raymond LtdRaymond Ltd
Raymond Ltd
 
Fastrack | Integrated Marketing Program
Fastrack | Integrated Marketing ProgramFastrack | Integrated Marketing Program
Fastrack | Integrated Marketing Program
 
A Study of Fabindia's Sales & Distribution Model
A Study of Fabindia's Sales & Distribution ModelA Study of Fabindia's Sales & Distribution Model
A Study of Fabindia's Sales & Distribution Model
 
MERCHANDISING POLICY OF RELIANCE TRENDS
MERCHANDISING POLICY OF RELIANCE TRENDSMERCHANDISING POLICY OF RELIANCE TRENDS
MERCHANDISING POLICY OF RELIANCE TRENDS
 
Analysing Product gaps in retail apparel sector.
Analysing Product gaps in retail  apparel sector.Analysing Product gaps in retail  apparel sector.
Analysing Product gaps in retail apparel sector.
 
Final Document
Final DocumentFinal Document
Final Document
 
Marketing Plan Presentation Spykar Oyo Rakesh
Marketing Plan Presentation Spykar Oyo  RakeshMarketing Plan Presentation Spykar Oyo  Rakesh
Marketing Plan Presentation Spykar Oyo Rakesh
 
Vero Moda
Vero Moda Vero Moda
Vero Moda
 
Quality Management ZARA
Quality Management ZARAQuality Management ZARA
Quality Management ZARA
 
Fabindia
FabindiaFabindia
Fabindia
 
Gini and jony
Gini and jonyGini and jony
Gini and jony
 
FINAL REPORT pdf
FINAL REPORT pdfFINAL REPORT pdf
FINAL REPORT pdf
 
Lakme Fashion Week Case Study - Instagram Show
Lakme Fashion Week Case Study - Instagram ShowLakme Fashion Week Case Study - Instagram Show
Lakme Fashion Week Case Study - Instagram Show
 
Marketing plan of CLOVIA
Marketing plan of CLOVIAMarketing plan of CLOVIA
Marketing plan of CLOVIA
 
Fabindia
FabindiaFabindia
Fabindia
 
Assortment Planning - United Colors of Benetton
Assortment Planning - United Colors of BenettonAssortment Planning - United Colors of Benetton
Assortment Planning - United Colors of Benetton
 
Filippa K - Goto Market Strategy 2016
Filippa K - Goto Market Strategy 2016Filippa K - Goto Market Strategy 2016
Filippa K - Goto Market Strategy 2016
 
Visual Merchandising in Retail Outlets
Visual Merchandising in Retail OutletsVisual Merchandising in Retail Outlets
Visual Merchandising in Retail Outlets
 

Viewers also liked

Guide to Use WGSN-HomeBuildLife at NTU Libraries
Guide to Use WGSN-HomeBuildLife at NTU LibrariesGuide to Use WGSN-HomeBuildLife at NTU Libraries
Guide to Use WGSN-HomeBuildLife at NTU Libraries
Hedren Sum
 
WGSN_Overview_V1
WGSN_Overview_V1WGSN_Overview_V1
WGSN_Overview_V1
Nitin Vohra
 
Fashion forecasting
Fashion forecasting Fashion forecasting
Fashion forecasting
Nina Faresin
 

Viewers also liked (12)

WGSN - INstock
WGSN - INstockWGSN - INstock
WGSN - INstock
 
4prod_apac_en
4prod_apac_en4prod_apac_en
4prod_apac_en
 
WGSN - Mindset
WGSN - MindsetWGSN - Mindset
WGSN - Mindset
 
INstock_APAC_en
INstock_APAC_enINstock_APAC_en
INstock_APAC_en
 
WGSN - Styletrial
WGSN - StyletrialWGSN - Styletrial
WGSN - Styletrial
 
THE VISION 2030 by WGSN
THE VISION 2030 by WGSNTHE VISION 2030 by WGSN
THE VISION 2030 by WGSN
 
Guide to Use WGSN-HomeBuildLife at NTU Libraries
Guide to Use WGSN-HomeBuildLife at NTU LibrariesGuide to Use WGSN-HomeBuildLife at NTU Libraries
Guide to Use WGSN-HomeBuildLife at NTU Libraries
 
Wgsn
WgsnWgsn
Wgsn
 
WGSN - Lifestyle and Interiors
WGSN - Lifestyle and InteriorsWGSN - Lifestyle and Interiors
WGSN - Lifestyle and Interiors
 
WGSN - Trend
WGSN - TrendWGSN - Trend
WGSN - Trend
 
WGSN_Overview_V1
WGSN_Overview_V1WGSN_Overview_V1
WGSN_Overview_V1
 
Fashion forecasting
Fashion forecasting Fashion forecasting
Fashion forecasting
 

Similar to WGSN Case Study

SIMPosium presentation_Bardess Qlik
SIMPosium presentation_Bardess QlikSIMPosium presentation_Bardess Qlik
SIMPosium presentation_Bardess Qlik
Bardess Group
 
ds_Pivotal_Big_Data_Suite_Product_Suite
ds_Pivotal_Big_Data_Suite_Product_Suiteds_Pivotal_Big_Data_Suite_Product_Suite
ds_Pivotal_Big_Data_Suite_Product_Suite
Robin Fong 方俊强
 
Becoming a data driven organization
Becoming a data driven organization Becoming a data driven organization
Becoming a data driven organization
Magnus Backman
 

Similar to WGSN Case Study (20)

Revolution in Business Analytics-Zika Virus Example
Revolution in Business Analytics-Zika Virus ExampleRevolution in Business Analytics-Zika Virus Example
Revolution in Business Analytics-Zika Virus Example
 
SIMPosium presentation_Bardess Qlik
SIMPosium presentation_Bardess QlikSIMPosium presentation_Bardess Qlik
SIMPosium presentation_Bardess Qlik
 
ds_Pivotal_Big_Data_Suite_Product_Suite
ds_Pivotal_Big_Data_Suite_Product_Suiteds_Pivotal_Big_Data_Suite_Product_Suite
ds_Pivotal_Big_Data_Suite_Product_Suite
 
BIg Data Trends in 2016
BIg Data Trends in 2016BIg Data Trends in 2016
BIg Data Trends in 2016
 
Ab cs of big data
Ab cs of big dataAb cs of big data
Ab cs of big data
 
The ABCs of Big Data
The ABCs of Big DataThe ABCs of Big Data
The ABCs of Big Data
 
Case Study - Ibotta Builds A Self-Service Data Lake To Enable Business Growth...
Case Study - Ibotta Builds A Self-Service Data Lake To Enable Business Growth...Case Study - Ibotta Builds A Self-Service Data Lake To Enable Business Growth...
Case Study - Ibotta Builds A Self-Service Data Lake To Enable Business Growth...
 
Becoming a data driven organization
Becoming a data driven organization Becoming a data driven organization
Becoming a data driven organization
 
Creating the Foundations for the Internet of Things
Creating the Foundations for the Internet of ThingsCreating the Foundations for the Internet of Things
Creating the Foundations for the Internet of Things
 
Descubra más valor en sus datos de IoT
Descubra más valor en sus datos de IoTDescubra más valor en sus datos de IoT
Descubra más valor en sus datos de IoT
 
Big Data Services - Brochure By RapidValue Solutions
Big Data Services - Brochure By RapidValue SolutionsBig Data Services - Brochure By RapidValue Solutions
Big Data Services - Brochure By RapidValue Solutions
 
BIG Data & Hadoop Applications in Retail
BIG Data & Hadoop Applications in RetailBIG Data & Hadoop Applications in Retail
BIG Data & Hadoop Applications in Retail
 
6 Reasons to Use Data Analytics
6 Reasons to Use Data Analytics6 Reasons to Use Data Analytics
6 Reasons to Use Data Analytics
 
Value journal October_2019
Value journal October_2019 Value journal October_2019
Value journal October_2019
 
QlikView
QlikViewQlikView
QlikView
 
Hitachi Data Systems Big Data Roadmap
Hitachi Data Systems Big Data RoadmapHitachi Data Systems Big Data Roadmap
Hitachi Data Systems Big Data Roadmap
 
Crowdstar case-study
Crowdstar case-studyCrowdstar case-study
Crowdstar case-study
 
BIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in FinanceBIG Data & Hadoop Applications in Finance
BIG Data & Hadoop Applications in Finance
 
Steelwedge launches next generation S&OP
Steelwedge launches next generation S&OPSteelwedge launches next generation S&OP
Steelwedge launches next generation S&OP
 
Big Data Solutions on Cloud – The Way Forward by Kiththi Perera SLT
Big Data Solutions on Cloud – The Way Forward by Kiththi Perera SLTBig Data Solutions on Cloud – The Way Forward by Kiththi Perera SLT
Big Data Solutions on Cloud – The Way Forward by Kiththi Perera SLT
 

More from VMware Tanzu

More from VMware Tanzu (20)

Spring into AI presented by Dan Vega 5/14
Spring into AI presented by Dan Vega 5/14Spring into AI presented by Dan Vega 5/14
Spring into AI presented by Dan Vega 5/14
 
What AI Means For Your Product Strategy And What To Do About It
What AI Means For Your Product Strategy And What To Do About ItWhat AI Means For Your Product Strategy And What To Do About It
What AI Means For Your Product Strategy And What To Do About It
 
Make the Right Thing the Obvious Thing at Cardinal Health 2023
Make the Right Thing the Obvious Thing at Cardinal Health 2023Make the Right Thing the Obvious Thing at Cardinal Health 2023
Make the Right Thing the Obvious Thing at Cardinal Health 2023
 
Enhancing DevEx and Simplifying Operations at Scale
Enhancing DevEx and Simplifying Operations at ScaleEnhancing DevEx and Simplifying Operations at Scale
Enhancing DevEx and Simplifying Operations at Scale
 
Spring Update | July 2023
Spring Update | July 2023Spring Update | July 2023
Spring Update | July 2023
 
Platforms, Platform Engineering, & Platform as a Product
Platforms, Platform Engineering, & Platform as a ProductPlatforms, Platform Engineering, & Platform as a Product
Platforms, Platform Engineering, & Platform as a Product
 
Building Cloud Ready Apps
Building Cloud Ready AppsBuilding Cloud Ready Apps
Building Cloud Ready Apps
 
Spring Boot 3 And Beyond
Spring Boot 3 And BeyondSpring Boot 3 And Beyond
Spring Boot 3 And Beyond
 
Spring Cloud Gateway - SpringOne Tour 2023 Charles Schwab.pdf
Spring Cloud Gateway - SpringOne Tour 2023 Charles Schwab.pdfSpring Cloud Gateway - SpringOne Tour 2023 Charles Schwab.pdf
Spring Cloud Gateway - SpringOne Tour 2023 Charles Schwab.pdf
 
Simplify and Scale Enterprise Apps in the Cloud | Boston 2023
Simplify and Scale Enterprise Apps in the Cloud | Boston 2023Simplify and Scale Enterprise Apps in the Cloud | Boston 2023
Simplify and Scale Enterprise Apps in the Cloud | Boston 2023
 
Simplify and Scale Enterprise Apps in the Cloud | Seattle 2023
Simplify and Scale Enterprise Apps in the Cloud | Seattle 2023Simplify and Scale Enterprise Apps in the Cloud | Seattle 2023
Simplify and Scale Enterprise Apps in the Cloud | Seattle 2023
 
tanzu_developer_connect.pptx
tanzu_developer_connect.pptxtanzu_developer_connect.pptx
tanzu_developer_connect.pptx
 
Tanzu Virtual Developer Connect Workshop - French
Tanzu Virtual Developer Connect Workshop - FrenchTanzu Virtual Developer Connect Workshop - French
Tanzu Virtual Developer Connect Workshop - French
 
Tanzu Developer Connect Workshop - English
Tanzu Developer Connect Workshop - EnglishTanzu Developer Connect Workshop - English
Tanzu Developer Connect Workshop - English
 
Virtual Developer Connect Workshop - English
Virtual Developer Connect Workshop - EnglishVirtual Developer Connect Workshop - English
Virtual Developer Connect Workshop - English
 
Tanzu Developer Connect - French
Tanzu Developer Connect - FrenchTanzu Developer Connect - French
Tanzu Developer Connect - French
 
Simplify and Scale Enterprise Apps in the Cloud | Dallas 2023
Simplify and Scale Enterprise Apps in the Cloud | Dallas 2023Simplify and Scale Enterprise Apps in the Cloud | Dallas 2023
Simplify and Scale Enterprise Apps in the Cloud | Dallas 2023
 
SpringOne Tour: Deliver 15-Factor Applications on Kubernetes with Spring Boot
SpringOne Tour: Deliver 15-Factor Applications on Kubernetes with Spring BootSpringOne Tour: Deliver 15-Factor Applications on Kubernetes with Spring Boot
SpringOne Tour: Deliver 15-Factor Applications on Kubernetes with Spring Boot
 
SpringOne Tour: The Influential Software Engineer
SpringOne Tour: The Influential Software EngineerSpringOne Tour: The Influential Software Engineer
SpringOne Tour: The Influential Software Engineer
 
SpringOne Tour: Domain-Driven Design: Theory vs Practice
SpringOne Tour: Domain-Driven Design: Theory vs PracticeSpringOne Tour: Domain-Driven Design: Theory vs Practice
SpringOne Tour: Domain-Driven Design: Theory vs Practice
 

Recently uploaded

Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 

Recently uploaded (20)

Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
 
The architecture of Generative AI for enterprises.pdf
The architecture of Generative AI for enterprises.pdfThe architecture of Generative AI for enterprises.pdf
The architecture of Generative AI for enterprises.pdf
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
 
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024
 
UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1UiPath Test Automation using UiPath Test Suite series, part 1
UiPath Test Automation using UiPath Test Suite series, part 1
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
Agentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdfAgentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdf
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
Introduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG EvaluationIntroduction to Open Source RAG and RAG Evaluation
Introduction to Open Source RAG and RAG Evaluation
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 

WGSN Case Study

  • 1. WGSN Group is a strategic intelligence, insight, and trends company. With offices throughout Europe, Asia, North and South America, and the Middle East, WGSN Group provides a combination of Big Data, deep intelligence, and sharp creative judgment to help its customers seize opportunities in accelerating markets. WGSN is a subsidiary of Top Right Group, an enabling company of media and information intelligence firms. CHALLENGE New Service Requires Maximum Performance and Scalability WGSN Group identified a promising opportunity to create a new market intelligence service that would help fashion retailers make crucial merchandising decisions. The service would need to gather and process huge volumes of product, sales, and pricing data gathered from across the industry—and would grow exponentially as the user base expanded. To successfully roll out the new service, named WGSN INstock, the company required an information infrastructure with the performance and scalability to handle both current and future Big Data requirements. After evaluating offerings from EMC®, NetApp, and IBM, WGSN chose EMC Isilon® scale-out storage along with Pivotal™ Greenplum® Database and Pivotal HD (Pivotal’s Hadoop distribution) to provide a comprehensive Big Data analytics solution. Sean Harley, group IT director at Top Right Group, explains, “Performance, scalability, and tight integration with Hadoop were the key reasons we chose Isilon. We also felt very comfortable with the partnership between EMC and Pivotal. In the end, the EMC and Pivotal solution offered the ideal balance of storage and compute with the right level of support.” SOLUTION Meeting Rigorous Performance Demands WGSN deployed EMC Isilon scale-out NAS integrated with Pivotal Greenplum Database and Pivotal HD. Isilon solution provides Hadoop Distributed File System (HDFS) storage services directly AT-A-GLANCE Challenges • Rapidly launch new market intelligence service for fashion retailers • Support large and growing volumes of Big Data Solution • EMC Isilon Scale-out NAS • Pivotal Greenplum Database • Pivotal HD • WGSN INstock Key Benefits • Streamlined deployment with native Hadoop integration • Enabled rapid launch of new market intelligence service • Delivered high performance and streamlined scalability for growing Big Data assets • Simplified platform administration CASE STUDY SUPPORTING RAPID LAUNCH OF GAME-CHANGING MARKET INTELLIGENCE SERVICE FOR RETAILERS WITH HADOOP OVERVIEW “ Together, EMC and Pivotal have a complete technology stack to address our end-to-end analytics and Big Data needs.” — Sean Harley, Group IT Director, Top Right Group pivotal.io
  • 2. Pivotal is a registered trademark or trademark of Pivotal Software, Inc. in the United States and other countries. All other trademarks used herein are the property of their respective owners. © Copyright 2014 Pivotal Software, Inc. All rights reserved. Published in the USA. PVTL-CS-344-12/13 At Pivotal our mission is to enable customers to build a new class of applications, leveraging big and fast data, and do all of this with the power of cloud independence. Uniting selected technology, people and programs from EMC and VMware, the following products and services are now part of Pivotal: Greenplum, Cloud Foundry, Spring, GemFire and other products from the VMware vFabric Suite, Cetas and Pivotal Labs. CASE STUDY WGSN GROUP Pivotal 1900 S Norfolk Street San Mateo CA 94403 pivotal.io to Pivotal HD’s compute modules—enabling high-performance transformation of raw data into market intelligence. Running WGSN’s INstock retail analytics service, the Isilon and Pivotal platform brings together details on thousands of brands from major retailers across the UK and North America into a single, consolidated portal. Through this innovative web service, INstock enables buyers and merchandisers to easily compare competitive offerings; track sales, pricing, and markdowns; and produce rich graphical charts of color mixes and style selections to optimize their inventories and pricing. EMC provided design and implementation services to ensure the Isilon and Pivotal data products would meet the rigorous performance demands of the WGSN INstock service. “We were impressed with EMC’s Big Data knowledge and experience, which was very beneficial throughout the planning and design of the solution,” notes Harley. BUSINESS BENEFITS EMC and Pivotal deliver the following business benefits to WSGN: Hadoop Integration Streamlined Service Launch Getting WGSN INstock to market quickly was a critical aspect of the company’s competitive strategy. After finalizing the analytics platform, the company deployed Isilon with Pivotal Greenplum Database and Pivotal HD in less than four weeks. “Because the two platforms are so tightly integrated, Isilon and Pivotal saved our development team considerable time on implementation,” Harley remarks. “The native integration with Hadoop also really streamlined the deployment process.” He adds, “Now that WGSN INstock is in production, we find it very easy to administer. We were even able to plug our monitoring solution into the system so we can proactively address any potential issues.” Delivering Game-Changing Market Intelligence With Isilon and Pivotal, WGSN Group now has the high-performance, scale-out solution it needs to power WGSN INstock and enable retailers to gain a new level of market intelligence. Serving an industry that continues to wrestle with shorter product cycles and more informed online consumers, WGSN INstock currently processes more than 3,000,000 data points on 250,000 fashion products gathered from the world’s largest and most significant online stores. By rapidly transforming this raw data, Isilon and Pivotal empower retailers with up-to-the-minute market intelligence that enables better, faster business decisions. “WGSN INstock is the biggest initiative in WGSN Group’s history and a real game-changer in the fashion industry,” says Harley. “Isilon and Pivotal deliver the performance and stability we need to drive this product launch. We’re confident the solution will easily handle our anticipated growth as we extend the reach of INstock further into the market.” To ensure success, WGSN Group is also working with Pivotal’s Data Science team to bring together the new data sources to drive new trend forecasting models. As Managing Director Product, Juliet Bauer says, “Our customers need increasingly sophisticated models to help them predict what will sell. We can satisfy that need.” Primed for Rapid Growth of Big Data WGSN INstock collects product data exclusively on a number of product categories across a large range of retailers, but WGSN Group expects the number of retailers and range of fashion market sectors to expand significantly in coming years. “By choosing Isilon and Pivotal products, we’re able to scale easily and keep adding more retailers and Big Data streams without sacrificing performance,” says Harley. He also points out that the partnership between EMC and Pivotal is important for opening additional opportunities to provide analytical services both internally and externally. “Together, EMC and Pivotal have a complete technology stack to address our end-to-end analytics and Big Data needs,” Harley concludes. “We look to EMC and Pivotal as strategic partners, not just product vendors. That partnership will be especially valuable to us as we explore ways to use analytics tools elsewhere at WGSN Group and other Top Right Group companies as we continue enhancing our knowledge-based solutions.” LEARN MORE To learn more about our products, services and solutions, visit us at pivotal.io.