On Feb. 26, Gartner published its 2018 Magic Quadrant for Analytics and Business Intelligence Platforms, in which it described what constitutes a Modern Analytics and Business Intelligence (BI) Platform.
When you hear the words “artificial intelligence,” (AI) what’s the first thing you think of: robots doing backflips, Alexa, medical diagnostic innovations or something else? If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind.
In my last piece on how businesses use data, I outlined a maturity model for taking up analytics across an organisation. However, while this approach works at the strategic level, there are opportunities for BI teams to more quickly increase the value that projects deliver as well. This is based on making analytics more agile.