Microsoft and Big Data: Survey Shows Top 11 Trends

 
 
By Darryl K. Taft  |  Posted 2013-02-15
 
 
 

62 Percent

Almost two-thirds—62 percent of—respondents to Microsoft's big data survey said they currently store at least 100 terabytes of data.

62 Percent

Double Down

Nearly one-third, or 32 percent, of respondents said they expect the amount of data they store to double in the next two to three years.

Double Down

BI Needed

Forty-nine percent rated managing data growth as extremely challenging when managing their companies' business intelligence (BI), while 41 percent rated integrating disparate BI tools as extremely challenging, and 40 percent rated the need for tools to analyze data and glean insights as extremely challenging.

BI Needed

Focus on the Customer

Survey respondents ranked customer care, sales, finance and marketing as the top areas driving demand for big data insights.

Focus on the Customer

Budget

Nearly nine out of 10 (89 percent) survey respondents said they already have a dedicated budget for a big data solution.

Budget

Stages

Fifty-one percent of companies surveyed said they are in the middle stages of planning a big data solution, whereas 13 percent said they have fully deployed their solution.

Stages

Testing Anyone?

Nearly three-quarters (72 percent) of respondents said they have begun the planning process, but have not yet tested or deployed a solution.

Testing Anyone?

Implementation

Of the 72 percent of respondents in the planning process, more than three-quarters (76 percent) of those said they plan to have their solution implemented in less than a year.

Implementation

Real Time

Sixty-two percent of respondents to the survey said developing near-real-time predictive analytics or data mining capabilities during the next 24 months is extremely important.

Real Time

Data Storage

Fifty-eight percent of respondents rated expanding data storage infrastructure and resources as extremely important.

Data Storage

Unstructured Data

Fifty-three percent of respondents rated increased amounts of unstructured data to analyze as extremely important.

Unstructured Data

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