Table of Contents:
1.0 BIG DATA: AN OVERVIEW 11
1.1 THE TRANSFORMATION FROM TRADITIONAL DATA TO BIG DATA 12
1.2 THE 3VS OF BIG DATA AND HOW TO DEAL WITH THEM 14
1.3 HOW TO DEALS WITH THE 3VS OF BIG DATA 15
1.4 SURVEY FINDINGS FROM BIMA SURVEY CONDUCTED BY STERIA IN EUROPE ACROSS ORGANIZATIONS 16
1.5 APPROACHES TOWARDS BIG DATA 18
1.6 THE IMPORTANCE OF BIG DATA AND ITS BENEFITS FOR THE ORGANIZATIONS 20
1.7 KEY ENABLERS OF BIG DATA 21
1.8 BIG DATA CHALLENGES FOR THE ORGANIZATIONS 21
2.0 BIG DATA: MARKET TRENDS AND FORECAST 23
2.1 HOW THE ORGANIZATIONS HAVE BENEFITTED FROM BIG DATA 29
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Good Stuff Happens in 1:1 Meetings: Why you need them and how to do them well
Big Data Leaders: Accenture, CSC Fujitsu, HP, Informatica, Mu Sigma, Opera Solutions, Oracle, and Tata Consultancy Services
1. Big Data Leaders: Accenture, CSC Fujitsu, HP, Informatica, Mu Sigma, Opera
Solutions, Oracle, and Tata Consultancy Services
ResearchMoz include new market research report" Big Data Leaders: Accenture, CSC Fujitsu, HP,
Informatica, Mu Sigma, Opera Solutions, Oracle, and Tata Consultancy Services" to its huge
collection of research reports.
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Table of Contents:
1.0 BIG DATA: AN OVERVIEW 11
1.1 THE TRANSFORMATION FROM TRADITIONAL DATA TO BIG DATA 12
1.2 THE 3VS OF BIG DATA AND HOW TO DEAL WITH THEM 14
1.3 HOW TO DEALS WITH THE 3VS OF BIG DATA 15
1.4
SURVEY FINDINGS FROM BIMA SURVEY CONDUCTED BY STERIA IN EUROPE ACROSS
ORGANIZATIONS 16
1.5 APPROACHES TOWARDS BIG DATA 18
1.6 THE IMPORTANCE OF BIG DATA AND ITS BENEFITS FOR THE ORGANIZATIONS 20
1.7 KEY ENABLERS OF BIG DATA 21
1.8 BIG DATA CHALLENGES FOR THE ORGANIZATIONS 21
2.0 BIG DATA: MARKET TRENDS AND FORECAST 23
2.1 HOW THE ORGANIZATIONS HAVE BENEFITTED FROM BIG DATA 29
3.0 KEY PLAYERS IN BIG DATA 32
3.1 ACCENTURE 32
3.1.1 COMPANY OVERVIEW 32
3.1.2 OFFERINGS (SOLUTIONS, APPLICATIONS, PRODUCTS, SERVICES) 33
3.1.3 STRATEGIES AND PLANS 37
5. 3.10 TATA CONSULTANCY SERVICES (TCS) 192
3.10.1 COMPANY OVERVIEW 192
3.10.2 OFFERINGS (SOLUTIONS, APPLICATIONS, PRODUCTS, SERVICES) 194
3.10.3 STRATEGIES AND PLANS 202
3.10.4 MERGERS & ACQUISITIONS 203
3.10.5 PARTNERSHIPS & ALLIANCES 204
3.10.6 FINANCIAL & OPERATIONAL HIGHLIGHTS 205
3.10.7 KEY CONTRACT WINS 210
3.10.8 ANALYSIS & CONCLUSION 211
4.0 BIG DATA: SWOT AND CONCLUSION 212
4.1 STRENGTHS 213
4.2 WEAKNESS 214
4.3 OPPORTUNITIES 215
4.4 THREATS 217
4.5 WHAT NEXT IN BIG DATA 219
4.6 CONCLUSION 219
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