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Information Management 
Making the case for Big Data and 
Hadoop in the enterprise 
Critical success factors in deploying Hadoop across industries 
• Healthcare 
• Financial Services 
• Energy and Utilities 
• Telecom 
• Automotive and Manufacturing 
1 © 2014 IBM Corporation
Information Management 
Healthcare 
Successfully harnessing big data with 
Hadoop and streaming technology 
unleashes the potential to achieve several 
critical objectives for healthcare 
transformation, including: 
 Building sustainable healthcare systems 
and health information exchanges 
 Improving clinical treatment effectiveness 
and reducing readmission rates 
 Reducing medical errors and supporting 
collaboration 
 Detecting claims fraud and other attempts 
to misuse medical resources 
Getting access to the valuable data 
and factoring it into clinical and 
advanced analytics is critical to 
improving care and outcomes, 
incentivizing patient behavior and 
driving efficiencies. 
Useful resources 
Blog 
InfoSphere BigInsights 
– Landing page 
Videos 
2 © 2014 IBM Corporation
Information Management 
Financial Services 
Successfully harnessing and protecting big 
data can help financial services firms 
achieve three critical growth objectives: 
 Improve customer insight 
 Better manage risk and detect fraud. 
 Increase flexibility and streamline 
operations 
Financial services firms that can 
harness and protect big data, in the 
form of transactions, real-time market 
feeds, customer-service records, 
correspondence and social media 
posts, can derive more insight about 
their business than ever before. 
Useful resources 
Blog 
InfoSphere BigInsights 
– Landing page 
Video 
3 © 2014 IBM Corporation
Information Management 
Energy and Utilities 
Today, energy and utility companies are 
relying on Hadoop to help curb energy 
consumption, reduce energy loss and add 
more clean power to the grid. Organizations 
can empower users to understand their 
energy usage, and give them the chance to 
reduce how much they use and pay: 
 Operational Efficiency 
 Customer Sentiment Analysis 
 Weather Data Analysis 
Big data technologies can turn the 
information from smart meter and 
smart grid projects into meaningful 
operational insights and insights 
about company assets and customer 
behavior. 
Useful resources 
InfoSphere BigInsights 
– Landing page 
Video 
Case Study 
4 © 2014 IBM Corporation
Information Management 
Telecom 
Adopting Hadoop can help service providers 
reduce infrastructure costs while enabling 
speedy go-to-market moves. 
 Customer churn prevention 
 Network usage analysis and optimization 
 New product innovation 
Telecommunications is a necessarily 
data-driven and capital-intensive 
business. Mobile network rollouts and 
the increasing use of mobile devices 
and social media generate huge 
amounts of customer and market 
data. Quick responses to changing 
market conditions are imperative to 
remaining competitive. . 
Useful resources 
Video 
InfoSphere BigInsights 
– Landing page 
5 © 2014 IBM Corporation
Information Management 
Automotive and Manufacturing 
Deploying Hadoop and other big data and 
analytics technologies allows auto and 
manufacturing companies to manage all of 
that data effectively. These three imperatives 
are especially critical in a global 
marketplace: 
 Increase customer satisfaction and 
retention 
 Enhance product quality 
 Optimize the supply chain 
Automotive and manufacturing 
organizations generate a massive volume 
of data through internal business 
operations, from R&D activities, supply 
chain, as well as global data from 
customers. These data sets represent an 
opportunity for an organization that will 
require specialized solutions like Hadoop 
Useful resources 
InfoSphere BigInsights 
– Landing page 
6 © 2014 IBM Corporation
Information Management 
Resources 
You can learn more about Hadoop and big data, and how to get started with big data, by 
visiting the following sites: 
• www.ibmbigdatahub.com 
• www.bigdatauniversity.com 
• https://developer.ibm.com/Hadoop 
• https://developer.ibm.com/streamsdev 
• IBM eBook for big data and Hadoop - https://www14.software.ibm.com/webapp/iwm/web/signup.do?source=sw-infomgt& 
S_PKG=ov27391&dynform=9701 
To learn more about Hadoop, big data analytics and IBM InfoSphere BigInsights, visit: 
www.ibm.com/hadoop 
Download IBM InfoSphere BigInsights QuickStart Edition, free for non-production use, to 
start learning Hadoop at: 
www.ibm.com/software/data/infosphere/biginsights/quick-start 
Use cases – Operational Analysis https://www.youtube.com/watch?v=teJGS2UIUd4 
Data Warehouse Modernization – 
http://youtu.be/JcCWvVIAAMA?list=PL692F3C3DCFB3135D 
Customer Videos - https://www.youtube.com/user/imclientreferences 
IBM InfoSphere® BigInsights contacts – 
Gord Sissons (@GJSissons) Avadhoot Patwardhan (@avi_patwardhan) 
Product Marketing Manager-InfoSphere BigInsights Product Marketing- Big Data 
7 © 2014 IBM Corporation

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Making the case for Big Data and Hadoop in the enterprise

  • 1. *all the images here have been hyperlinked Information Management Making the case for Big Data and Hadoop in the enterprise Critical success factors in deploying Hadoop across industries • Healthcare • Financial Services • Energy and Utilities • Telecom • Automotive and Manufacturing 1 © 2014 IBM Corporation
  • 2. Information Management Healthcare Successfully harnessing big data with Hadoop and streaming technology unleashes the potential to achieve several critical objectives for healthcare transformation, including:  Building sustainable healthcare systems and health information exchanges  Improving clinical treatment effectiveness and reducing readmission rates  Reducing medical errors and supporting collaboration  Detecting claims fraud and other attempts to misuse medical resources Getting access to the valuable data and factoring it into clinical and advanced analytics is critical to improving care and outcomes, incentivizing patient behavior and driving efficiencies. Useful resources Blog InfoSphere BigInsights – Landing page Videos 2 © 2014 IBM Corporation
  • 3. Information Management Financial Services Successfully harnessing and protecting big data can help financial services firms achieve three critical growth objectives:  Improve customer insight  Better manage risk and detect fraud.  Increase flexibility and streamline operations Financial services firms that can harness and protect big data, in the form of transactions, real-time market feeds, customer-service records, correspondence and social media posts, can derive more insight about their business than ever before. Useful resources Blog InfoSphere BigInsights – Landing page Video 3 © 2014 IBM Corporation
  • 4. Information Management Energy and Utilities Today, energy and utility companies are relying on Hadoop to help curb energy consumption, reduce energy loss and add more clean power to the grid. Organizations can empower users to understand their energy usage, and give them the chance to reduce how much they use and pay:  Operational Efficiency  Customer Sentiment Analysis  Weather Data Analysis Big data technologies can turn the information from smart meter and smart grid projects into meaningful operational insights and insights about company assets and customer behavior. Useful resources InfoSphere BigInsights – Landing page Video Case Study 4 © 2014 IBM Corporation
  • 5. Information Management Telecom Adopting Hadoop can help service providers reduce infrastructure costs while enabling speedy go-to-market moves.  Customer churn prevention  Network usage analysis and optimization  New product innovation Telecommunications is a necessarily data-driven and capital-intensive business. Mobile network rollouts and the increasing use of mobile devices and social media generate huge amounts of customer and market data. Quick responses to changing market conditions are imperative to remaining competitive. . Useful resources Video InfoSphere BigInsights – Landing page 5 © 2014 IBM Corporation
  • 6. Information Management Automotive and Manufacturing Deploying Hadoop and other big data and analytics technologies allows auto and manufacturing companies to manage all of that data effectively. These three imperatives are especially critical in a global marketplace:  Increase customer satisfaction and retention  Enhance product quality  Optimize the supply chain Automotive and manufacturing organizations generate a massive volume of data through internal business operations, from R&D activities, supply chain, as well as global data from customers. These data sets represent an opportunity for an organization that will require specialized solutions like Hadoop Useful resources InfoSphere BigInsights – Landing page 6 © 2014 IBM Corporation
  • 7. Information Management Resources You can learn more about Hadoop and big data, and how to get started with big data, by visiting the following sites: • www.ibmbigdatahub.com • www.bigdatauniversity.com • https://developer.ibm.com/Hadoop • https://developer.ibm.com/streamsdev • IBM eBook for big data and Hadoop - https://www14.software.ibm.com/webapp/iwm/web/signup.do?source=sw-infomgt& S_PKG=ov27391&dynform=9701 To learn more about Hadoop, big data analytics and IBM InfoSphere BigInsights, visit: www.ibm.com/hadoop Download IBM InfoSphere BigInsights QuickStart Edition, free for non-production use, to start learning Hadoop at: www.ibm.com/software/data/infosphere/biginsights/quick-start Use cases – Operational Analysis https://www.youtube.com/watch?v=teJGS2UIUd4 Data Warehouse Modernization – http://youtu.be/JcCWvVIAAMA?list=PL692F3C3DCFB3135D Customer Videos - https://www.youtube.com/user/imclientreferences IBM InfoSphere® BigInsights contacts – Gord Sissons (@GJSissons) Avadhoot Patwardhan (@avi_patwardhan) Product Marketing Manager-InfoSphere BigInsights Product Marketing- Big Data 7 © 2014 IBM Corporation