First generation of BI in the 1990s: The concept of self-service was restricted to the vendor vision and was an entirely IT-led operation with minor discrepancies in the Big Data impacting the end result. During the first generation of BI, businesses could not make quick responsive decisions like they can today.
Second generation in 2000: Self-service BI tools like Tableau, QlikView and others entered the data analytics market, letting the employees access more than just a static report. Although this passed on the business analytics to the business analysts, but they were still dependent on IT to get the Big Data rather than the data coming to them.
Third generation: That brings us to today where the entire process of data analytics is self-service, or IT-enabled, instead of IT-led. This means analysing the multi structured data for greater value and insights and saving a lot of time as well as cost to improve efficiency.And this is only the start. This year, the emphasis is on intelligent automation, Machine Learning, augmented analytics and natural language processing as these factors collectively transform the way you interact with complex data and information. The major factors driving the BI market are increasing adoption of cloud, growth of advanced business analytics, adoption of data-driven decision-making, and the emergence of Internet of Things (IoT)-enabled technologies.
Using Cloud BI, you can get access to the data anytime, anywhere and as a result, about 75% of businesses plan to deploy Cloud BI by the end of this year.
According to a recent survey: