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.
Historically, the pendulum of the business intelligence (BI) market has moved between centralized governance of data and self-service and agility. Today, the industry is swaying back and forth, as CIOs struggle to find the right balance of control, transparency, and truth.
HBO’s “Game of Thrones” is wildly popular for a lot of reasons: epic battles, dramatic vistas and, shall we say, intense relationships. But beyond riveting entertainment, the series offers a powerful allegory that is directly applicable to the Business Intelligence (BI) software industry: “winter is coming.”
One of the biggest challenges facing IT leaders of global organizations is how to extend the use of business intelligence across the enterprise to a user community that demands self-service. Technology research firm Gartner writes that, without appropriate governance, self-service capabilities can “increase errors in reporting and leave companies exposed to inconsistent information1.” CIOs and heads of BI and analytics departments are under increased pressure to satisfy the business need for greater agility without compromising consistency and trust in the data.
We’re at a tipping point where using data to inform all types of business decisions is becoming the norm. With more and more data available to users and the increasingly competitive business landscape, it’s not surprising that the needs of business users are becoming more complex.