More Than 20 Detailed Case Studies from Bloomberg Businessweek

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More Than 20 Detailed Case Studies from Bloomberg Businessweek Real Time Research REPORTS Real-Time Enterprise Stories • Adobe Systems • eBay • Maple Leaf Foods • Alliander • EMC • Mercedes-AMG • ARI • Florida Crystals • NFL • CareFusion • Globus • Nomura Research Institute • City of Boston, Massachusetts • Hewlett-Packard • Norwegian Cruise Line • City of Cape Town, South Africa • HSE24 • Southern California Edison • Commonwealth Bank of Australia • Johnsonville Sausage • T-Mobile • ConAgra • Kaeser Compressors More than 20 detailed case studies from Bloomberg Businessweek Research Services and Forbes Insights featuring leading-edge enterprises across industries to explore the real value of the in-memory platform: SAP HANA. Sponsored by: October 2014 Real-Time Enterprises A Research Collection Contents Forward: Making Decisions in the Moment ................................................. 5 Adobe Systems: “Adobe Gets Personal With Customers” (high tech) ....... 6 Alliander: “Alliander Energizes Its Business with Real-Time Analytics” (utilities) ..................................................................................................... 10 ARI: “In-Memory Computing Drives Fleet Savings at ARI” (automotive) ............................................................................................... 14 CareFusion: “Real-Time Business Leads to Healthy Performance at CareFusion” (healthcare) .......................................................................... 18 City of Boston, Massachusetts: “Boston’s Better Community Connections Through Big Data and Analytics” (public sector) ...................................... 22 City of Cape Town, South Africa: “Real-Time Data Speeds Services in ‘The Mother City’ of Cape Town” (public sector) ..................................... 25 Commonwealth Bank of Australia: “CBA Offers More Personalized Banking Through Big Data and Analytics” (banking) ............................................... 28 ConAgra: “Real-Time Business Leads ConAgra to Profitable Insights” (consumer products) ................................................................................. 31 eBay: “Big Benefits from Big Data at eBay” (high tech)............................ 35 Page 2 Real-Time Enterprises A Research Collection Contents EMC: “The Key to EMC’s Technology Growth: Integrated Acquisitions” (high tech) .................................................................................................. 39 Florida Crystals: “Real-Time Business Sweetens Performance at Florida Crystals” (consumer products) .................................................................. 44 Globus: “Globus Is Always in Style with In-Memory Technology” (retail) . 48 Hewlett-Packard: “HP Paves the Future with Real-Time Insights” (high tech) .................................................................................................. 51 HSE24: “Using Real-Time Insights, HSE24 Gets Closer to Customers” (retail) ......................................................................................................... 55 Johnsonville Sausage: “Johnsonville Cooks Up a Real-Time Recipe” (consumer products) ................................................................................. 59 Kaeser Kompressoren: “Kaeser Puts Customers First with Big Data and Real-Time Business” (industrial machinery & components)...................... 63 Maple Leaf Foods: “Maple Leaf Foods Turns Over a New Leaf with Up-to-the-Minute Insights” (consumer products) ..................................... 67 Mercedes-AMG: “Mercedes-AMG: A Showcase for Real-Time Business Decisions” (automotive) ............................................................................. 71 National Football League: “The NFL’s Advanced Analytics Score with Football Fans” (sports & entertainment) ................................................... 75 Page 3 Real-Time Enterprises A Research Collection Contents Nomura Research Institute: “Tokyo Drivers Avoid Traffic Jams with NRI’s Big Data and Analytics” (high tech) ........................................................... 79 Norwegian Cruise Line: “Norwegian Cruise Line Sets Its Course for Real-Time Insights” (travel & transportation) ............................................. 82 Southern California Edison: “How Southern California Edison Harnesses Big Data’s Power” (utilities) ....................................................................... 86 T-Mobile: “Using Social Media to Improve Customer Loyalty at T-Mobile” (telecommunications) ................................................................................ 90 COPYRIGHT AND DISCLAIMER NOTES Real Time Research Reports, a subsidiary of Triangle Publishing Services Co., does not make any guarantees or warranties as to the accuracy or completeness of this report. Real Time Research Reports shall not be liable to the user or anyone else for any inaccuracy, error or omission, regardless of cause, or for any damages resulting therefrom. In no event will Real Time Research Reports nor other companies or third-party licensors be liable for any indirect, special or consequential damages, including but not limited to lost time, lost money, lost profits or lost good will, whether in contract, tort, strict liability or otherwise, and whether or not such damages are foreseen or unforeseen with respect to any use of this document. This document, or any portion thereof, may not be reproduced, transmitted, introduced into a retrieval system or distributed without the written consent of the copyright owner. © Copyright 2014 Real Time Research Reports, a Triangle Publishing Services Co. Inc. company, except for material previously copyrighted to either Bloomberg LP or Forbes Insights. All rights reserved. The names of actual companies, publications and products mentioned herein may be the trademarks of their respective owners. ELECTRONIC VERSION AVAILABLE To see or use an electronic copy of this document in PDF format, please visit the following Web site: www.saphana.com Page 4 Real-Time Enterprises A Research Collection Forward: Making Decisions in the Moment Many different factors impact the decisions companies make everyday. Being a real-time business means being able to make those decisions when they matter most. For most companies today, how- ever, batch processes must run before any decision can be made. In retail, for example, personalized offers in stores aren’t common. Instead, stores offer a generic 25 percent off. But what if something personal and relevant for individual shoppers could be delivered when they walk in the door? There will be a time when Real-time planning, for example, is the “game we walk into a store and our changer” for one SAP customer. Using HANA experience will be radically has reduced the time it takes to process one different. That’s why the SAP financial report from 40 hours to 20 seconds— HANA platform exists: to a 7,000 times improvement. enable companies to do busi- ness in the moment. I envision the SAP HANA platform not only Steve Lucas, enabling customers to make today’s decisions President For large companies, three but also providing them a powerful predictive Platform main drivers deliver value. engine for tomorrow’s choices. Most compa- Solutions, First, simplify: Reduce the nies make decisions by looking in the rearview SAP complexity of the systems mirror, but a rearview mirror offers only a tiny required to produce existing results. In fact, piece of the puzzle versus the forward view massive IT simplification was one of the key a windshield provides. Eventually, operating design motivations behind SAP HANA. You models will include built-in forward-looking can use the platform to feed data from all decisions. different sources into one system. Second, enable agility: Give customers insights in real Real-time business transformations are not time to aid decision-making. Third, innovate: just about technology, though. SAP HANA is Unlock the true potential of real-time business extraordinarily innovative, but the first thing innovation through new business processes we do is look at where the opportunities are and models. to transform business processes. Then, SAP helps customers rethink how those processes SAP HANA deployments began more than are designed and how they can be remodeled. three years ago. Since then, companies have You have to start at zero. If you don’t have to added the SAP Business Suite powered by wait for information, there’s an opportunity for HANA. Now there are more than 4,000 SAP massive reinvention and value creation across HANA customers. So far, business transforma- industries. n —Steve Lucas tions have been process by process based on the time it takes to get data and then analyze it. When you eliminate the latency, you have to think through how you want to work differently. Page 5 Real-Time Enterprises A Research Collection Adobe Systems at a glance Producer of desktop publishing and graphics editing programs as well as a wide array of products made for creative and marketing professionals Industry: high tech Founded: 1982 Headquarters: San Jose, Calif. 2013 revenue: $4.06 billion Employees: More than 11,000 worldwide Products: Software for creative and marketing professionals www.adobe.com Source: Adobe Systems Page 6 RESEARCH UPDATE | Real-Time Enterprise Case Studies Adobe Gets Personal With Customers With in-memory computing and predictive analytics tools, the high-tech company is anticipating customer needs and developing more personalized programs. BY JOE MULLICH hroughout high-tech, long-time business models are falling by the wayside
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