Albany, Newyork (PRWEB) December 24, 2013
The data market is booming with an ever increasing valuation. In the virtual data ocean, Big Data and small data are complementary strategies at one level and choices of scale/scope at a different level. While Big Data holds distant promises, leveraging small data can provide great benefits to small-to-medium business (SMB) as well as large corporations. Simply stated, the cost-performance barrier leaves many lucrative markets inadequately served by Big Data approaches. Carefully chosen data solutions and models should be more accurate, objective, and ultimately lead to improved ROI especially for more near-term time horizons and/or companies with limitations in scale/scope.
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This research provides the reader with an understanding of data management issues, challenges and opportunities relative to Big Data and small data approaches. The report includes analysis of small data practices and emerging small data business models and scenarios. This report evaluates strategies, considerations, and planning for a so-called small data strategy. It also compares and contrasts Big Data vs. small data strategies in terms of company capabilities and focus. The report also evaluates the future of Big Data including emerging business models and practices.
Target Audience:
SMB of all types
Big Data companies
Social network companies
Telecom service providers
Data services and analytics companies
Cloud and telecom infrastructure providers
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1.0 EXECUTIVE SUMMARY 5
2.0 DATA TREND ANALYSIS 7
2.1 DATA SEARCH 7
2.2 DATA QUALITY 8
2.3 TIMED DATA DELIVERY 9
2.4 DATA STORAGE CAPACITY 10
2.5 DEFINING BIG & SMALL DATA INCLUDING SOURCING 12
2.6 BIG DATA VS. SMALL DATA DIFFERENTIATION 13
2.6.1 DATA MINING 13
2.6.2 DATA PURPOSE 13
2.6.3 KEY DECISIONS 13
2.7 DECISION PARAMETERS FOR BIG VS. SMALL DATA 14
2.8 USABILITY OF SMALL VS. BIG DATA IN MARKETING 15
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3.0 BIG DATA MARKET ADVANCEMENT AND FORECAST 2014 – 2020 17
3.1 BIG DATA MARKET TREND 17
3.1.1 TRENDS IN THE ADVANCE OF BIG DATA 17
3.1.2 BIG DATA ANALYTICS 18
3.1.3 BIG DATA MARKET FORECAST 18
3.1.4 CASE STUDIES & STRATEGIC RECOMMENDATION FOR START-UP BUSINESSES 19
3.2 BIG DATA VALUE CHAIN 22
3.2.1 CREATING TRANSPARENCY 22
3.2.2 ENABLING EXPERIMENTATION 22
3.2.3 SEGMENTING POPULATIONS TO CUSTOMIZE ACTIONS 23
3.2.4 REPLACING/SUPPORTING HUMAN DECISION MAKING WITH AUTOMATION 23
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