Clutch highlights results from BI data analytics survey.

The US-based research firm's survey compiled from responses taken from 291 employees who utilised BI data analytic tools as part of their job function.

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Clutch highlights results from BI data analytics survey. The most popular BI Analytic Tools included data management (25%), statistical analysis (22%), and predictive analytics (13%).
By  Alexander Sophoclis Pieri Published  August 21, 2016

Clutch, a Washington, DC-based B2B research firm, recently unveiled figures from its Business Intelligence Data Analytics Survey 2016: Types of Data Businesses Value.

The survey was compiled with responses taken from 291 employees who utilised BI data analytic tools as part of their job function. Notable findings produced from the survey point to increased adoption of BI Tools with 71% of respondents reporting adoption of such systems after 2012.

The most popular BI Analytic Tools included data management (25%), statistical analysis (22%), and predictive analytics (13%).

In terms of the type of data utilised, 70% of total respondents claimed to utilise internal data, while business systems and structured data usage was reported at 59% and 58%, respectively.

Conclusions from the survey highlighted the trend of data analytics users remaining focused on conventional types of data, despite industry drive over novel data types. This includes data models such unstructured, IoT, and social networks data.

The majority of BI data analytics users (65%) also found internal data to be more significant than external data. This was mainly due to accessibility as such data can be pulled from within the business itself, while external data requires more investment in time and resources to collect.

Despite the challenge however, the survey also pointed out that for an organisation to thrive and grow its audience, in the long-run, it will need to collect and analyse external data. Information on demographics and spending patterns of customers will allow organisations to reach their target market better.

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