Feb 11, 2021 Why self service Business Intelligence is essential today? In our pilot edition of the Executive Insights, Tesser’s CEO, Sundar dissects a 2020 piece by Forbes magazine that examines prevailing trends in self-service models. The findings of the Forbes report point to a steady increase in the use of a self-service business intelligence tools among enterprises. An industry veteran, Sundar responds to these findings with his own insights and predictions The predictions made in the linked article are illuminating and reinforce what has been previously known: the need to empower business teams with self-service analytical capabilities is essential to accelerate speed to insights. Why is speed so relevant? The average lifespan of an economic idea – be it a product or service – is 3 months or less. For an analyst to collect data, analyze and get it to the insights working with the IT department usually takes about 6-8 weeks. That’s an opportunity lost for the business. Empowering business to do their own analysis will ensure timely insights. But getting to self-service insights is not easy. Firstly, there is a plethora of tools to consider. Analytics is an ecosystem of tools that needs to be brought together, even to deliver a single use case. Some of these tools are with IT while others are with business – usually the visualization elements. Despite this, the data is seldom ready to consume into a visualization. It has to go through cleansing, transformation, and analytics before an insight can emerge that can be visualized. Most tools only provide some of the capabilities to the business. What is required is an application that can provide complete end-to-end capability to develop an entire analytics use case. Starting with a data catalog to browse the datasets available, ingesting your own data, combining your data with enterprise data to create new datasets, playing with a subset of enterprise data in a sandbox environment, running basic analytics like correlation and prediction models and creating charts and graphs for visualization – all of these capabilities should be ideally available in one single application. Delivering such an application is a challenge, but Tesser Insights has developed one such self-service portal that is an orchestration layer for commonly available Azure tools and provides a single interface for all these capabilities. The advantages of such a tool are several. For one, the user does not have to be trained on multiple tools, and instead has to be familiar only with one tool. Secondly, given the collaboration features available, business and IT can work off of a single pane of glass instead of having to go back and forth, throwing stuff over the wall. Thirdly, one can watch the progress of the use case in one single place and make mid-course corrections where required. Further, since insights discovery can be a trial and error process, it gives an opportunity to try multiple ideas and fail fast while narrowing on a winning idea quickly. All of these are only possible when the end-to-end use case development takes place in one single application, in a collaborative self-service model, like we have in Tesser Insights. Empowering businesses to derive insights quickly is the best way to move from analysis to execution. This is what we strive to do at Tesser Insights. Our application is now available for trial for a 2-week period. If you are interested, please write to us with your contact details at [email protected] and you can experience the power of self-service at Tesser Insights first-hand.