Online transactional processing (OLTP)

It is the big data term used for the process that provides users an access to the large set of transactional data. It is done in such a manner that users are able to derive meaning from the accessed data.

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Only 16% of organizations can currently say that 75% or more of their employees have access to company data and analytics.
90 percent of IT professionals plan to increase spending on BI tools.
60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles
The number of IT professionals using descriptive and predictive analytics grew from the mid-40th percentile to high 60th percentile between January 2018 and January 2019.
14 percent of investment professionals use credit card and POS software data to derive data.
Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable as a result.
The worldwide big data market is projected to grow from $42 billion in 2018 to $103 billion in 2027.
Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.
By 2025, the amount of the global datasphere subject to data analysis will grow by a factor of 50 to 5.2 zettabytes.
Big data ranks 20th across 33 key technologies when businesses were asked their top technologies and initiatives strategic to business intelligence.

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