According to Gartner, more than 3,000 CIOs ranked Business Intelligence (BI) and analytics as the top differentiating technology for their organizations. If BI and analytics is such a game-changer, then why is the average adoption rate in organizations only 32%? Despite the efforts of Cloud BI vendors making it easier for users to acquire, explore, and analyze data sources without IT dependency, lack of data literacy and analytic skills still hinder widespread adoption for data-driven decision making. But the industry is undergoing a fundamental transformation. The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making.
Historically, Business users have been presented with dashboards that describe the current state of a KPI, i.e. Net Profitability, Customer Retention, and more. What happens next is a treasure hunt in identifying the drivers of the KPI’s behavior. This takes time and specialized expertise, often involving advanced machine learning algorithms that only skilled data scientists understand.
With the emergence of AI-enabled BI, this laborious and impenetrable work can be performed by a machine, automatically finding significant relationships between the KPI and countless attributes that might influence its behavior, and automatically rendering visualizations and dashboards that enable the Business user to take the best possible action.
Join us to find out how Birst is reshaping the landscape of BI and analytics once again. Reserve your spot!
On Jan 29, Birst will introduce Smart Analytics powered by Coleman AI. Birst Smart Analytics offers a new set of AI-enabled capabilities that leverage machine learning algorithms to generate automated and personalized insights. Business users can tap into the power of data science and instantly understand not just what is happening in their business, but why. I spoke to Nicolas Rentz, Senior Product Manager at Birst, who gave us a preview of Birst Smart Analytics and what challenges it addresses to drive more BI and analytics adoption, resulting in better business performance.
1. Please give us some background on your career and how you arrived at Birst as a Product Manager?
I’ve spent most of my career in Business Intelligence, either as part of a technology organization developing BI tools or as an analyst using BI and analytics to make decisions. I’ve always been passionate about using cutting edge technology to solve business pain points, so I was very excited to join Birst to lead the development of Smart Analytics.
