Democratising data is the buzz word in analytics right now. I want to extend the concept to say analytics has to be democratised as well. Right now teams in business rely primarily on an analytics or a BI team for all their analytical requirements. Which is sort of outdated as modern technologies help automate a range of analytics process and help end user directly access analytics (apart from data and BI). Organisations are not moving towards such an approach yet because of legacy issues and lack of alignment of interests.
Imagine a world where apart from data, the ground force has direct access to analytics (descriptive, predictive and prescriptive) on a realtime basis. Actionable insights are directly delivered to salesforce/operations teams for taking in-time tactical decisions. Such a scenario is vastly superior to what happens right now in ogranisations, where a central team runs analysis once in a while and identifies actionable outcomes based on its own judgement. Democratisation analytics not only helps in improving efficiency of analytics but also reduce significant costs.
This model of self-service analytics can help make analytics available through out the organisation. But to implement such as solution there needs to be a change in the mindset of organisations, especially in the central BIU/analytics teams. Where these teams should become enablers of analytical change rather then controllers.
There are several products in the market for implementing self-service tools. Gartner (an It think tank) suggests that this could be the future on analytics – “This multiyear shift of focus from IT-led reporting to business-led self-service analytics passed the tipping point in 2016, which has forced a new perspective on the definition of a BI and analytics platform, and consequently, has significantly re-ordered the vendor landscape as represented in the Magic Quadrant.”
G-Square offers several products of self-service analytics most notably Narrator (Smart BI) and Clientrator (Customer Analytics tool).
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