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Big Data Strategy of IBM

            
 
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This case study was compiled from published sources, and is intended to be used as a basis for class discussion. It is not intended to illustrate either effective or ineffective handling of a management situation. Nor is it a primary information source.



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Case Details:

Price:

Case Code : ITSY076 For delivery in electronic format: Rs. 500;
For delivery through courier (within India): Rs. 500 + Shipping & Handling Charges extra

Themes

Big Data Strategy / Knowledge-based View
Case Length : 18 Pages
Period : 2010-2013
Pub Date : 2014
Teaching Note : Not Available
Organization : IBM
Industry : Information Technology
Countries : US; Global

Abstract:

IBM, a US-based computer hardware and software manufacturer, had implemented a Big Data strategy, where the company offered solutions to store, manage, and analyze the huge amounts of data generated daily and equipped large and small companies to make informed business decisions. The company believed that its Big Data and analytics products and service would help its clients become more competitive and drive growth.

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In order to have an extensive portfolio of Big Data technologies and solutions, spanning services, software, research and hardware, the company acquired around 30 companies, spending US$16 billion over these Big Data acquisitions. Cognos, SPSS, Netezza, and Vivismo were a few of the many companies that got integrated into its Big Data platform. On October 29, 2013, IBM completed the acquisition of an Ireland-based The Now Factory. In 2011, the company also invested US$100 million in the research and development of Big Data services and solutions.

Issues:

» Understand the concept of Big Data and its importance to large, medium, and small companies in the current industry scenario.
» Understand the need for implementing a Big Data strategy and the various issues and challenges associated with this.
» Analyze the Big Data strategy of IBM
» Explore ways in which IBM’s Big Data strategy could be improved further.

Contents:

  Page No.
Introduction 1
About IBM 2
IBM And Big Data 3
Big Data Strategy 4
IBM'S Big Data Platform 5
Addressing Emerging Business Requirements 6
Big Data Challenges 7
Addressing Challenges 8
Looking Ahead 9
Exhibits 10

Keywords:

Big Data, Big Data Strategy, Big Data platform, Big Data technologies and solutions, Internal decision support, Analytics, Pattern-Based Strategy, Business strategy, Integration, Acquisition; Knowledge-based view, IBM

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