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Big Data vs Small Data Strategies for Next Generation Business Forecast Report Available Online by Researchmoz.us
[December 24, 2013]

Big Data vs Small Data Strategies for Next Generation Business Forecast Report Available Online by Researchmoz.us


(PR Web Via Acquire Media NewsEdge) 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.



Click Here To Download Detail Report @ http://www.researchmoz.us/big-data-vs-small-data-strategies-for-next-generation-business-report.html 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 Browse All Latest Market Research @ http://www.researchmoz.us/latest-report.html 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 Browse reports in ICT Market Research Report @ http://www.researchmoz.us/ict-market-reports-96.html 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 Related Report Big Data for Telcos This report(http://www.researchmoz.us/big-data-for-telcos-report.html) is dedicated to the analysis of Big Data opportunities for telecom operators: - What applications can be developed with telcos data? - What kind of new revenues can be generated? - What cost savings can be done thanks to Big Data techniques? Our study provides business cases for each application of analytics that can be done by telcos, for internal and external purposes. Specific figures are provided to estimate the financial benefits of each big data application on the global telecom services market and the report especially ranks the most valuable opportunities for telcos.


ICT Procurement Trends in Manufacturing This report (http://www.researchmoz.us/ict-procurement-trends-in-manufacturing-enterprise-ict-investment-plans-report.html) presents the findings from a survey of 166 manufacturers regarding their approach to Information and Communications Technology (ICT) procurement. The survey investigates the way that manufacturers like to purchase technology, as well as the major IT and business objectives influencing their IT investment strategies.

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