BI Self-Service Analytics: IT’s Next Top Priority
IT organizations should prioritize their self-service analytics tools projects to enable business users to experience the value of analytics and big data investments.
The drive to enable more self-service analytics for business intelligence users is certainly not news. The trend toward enabling self-service has been underway for quite some time. Indeed, Forrester Research said in a blog post that it wasn’t news back in Feb. 2015.
It used to be a lot easier when business intelligence users were only looking at limited data sets such as those from the ERP system or relational databases. Now, with the influx of new data sets, including unstructured data, from social media and email, to name a few, the possibility of gaining greater insights is huge — but so is the challenge.
Business intelligence tools weren’t designed to point to these kinds of data. The situation left data engineers and data scientists in the middle, needing to process query requests for BI users. But, as has been widely reported, these high-level data pros are in great demand, they’re expensive, and they’re hard to find.
These are reasons that organizations are still talking about bringing self-service queries and analytics to business users. As the complexity and volume of data increase, these self-service solutions need to evolve to accommodate both.
The need has created a demand for tools such as Presto, Impala, and Spark SQL that process SQL-type jobs on Hadoop data — and for tools like those from AtScale that sit between the BI user and the Hadoop cluster.
Many organizations that InformationWeek has interviewed recently have identified the creation and improvement of systems that enable self-service queries and analytics to be a priority.
For instance, audit recovery firm PRGX recently told InformationWeek in an interview…
IT organizations should prioritize their self-service analytics tools projects to enable business users to experience the value of analytics and big data investments. (Click image for larger view and slideshow.) The drive to enable more self-service analytics for business intelligence users is certainly not news.
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