The Journey from Traditional BI to Self-Service Analytics

Traditional Business intelligence systems are less effective in managing such huge volumes of data. There are cases where the data integration phase runs into years. Also with unstructured data, it becomes very difficult to recognize patterns in tables and the more traditional BI display methods. Now here’s where self-service applications come into the picture.

Making Big Data User Friendly For Small Businesses

Big Data is by no means a new concept for most people in the business world. For many small businesses, the use of data technology has been mostly out of reach due to budget constraints and lack of in-house technical expertise. That is why many startups are making data accessible to low-tech businesses. Uday Hegde is the CEO and Co-Founder of USEReady, a data analytics firm that helps businesses implement data solutions.

Why do "Self-Service BI"​ projects fail?

Even though self-service BI has proved to be a boon but it’s no fairy tale. There have been a lot of shortcomings in adopting self-service BI and it has not been an easy road. According to a report by Gartner 70 to 80 percent of BI projects fail. A lot of these projects are self-service BI projects. How to pevent BI projects from failing?

Self-service analytics less challenging for IT than traditional?

A debate which most of the practitioners of traditional BI tend to engage in is that the self-service BI comes with reduced number of challenges.  Most argue that the self-service tools are ‘drag-n-drop’, and are like a ‘black-box’ which do not give a complete control of the data and its depiction. However, I feel that the challenges are different and complicated in the self-service space.

BI Trends to watch out for in 2017

Even though BI experts pretty much seem to be in total awareness of where are things headed in 2017, backed by the opinions of USEReady's BI experts who have helped numerous companies succeed with data - here are top 5 trends that we think will dominate 2017.