Learn how BI is evolving to drive business insight at any scale, from any source, across any device.
Business intelligence (BI) as we know it is dead, or perhaps more accurately, it is undergoing a radical rebirth. Little had changed since the practice of BI emerged in the 1950s as a means of helping business owners make smart decisions using facts derived from trusted data. But with the advent of the cloud, mobile and the velocity, variety and volume of “big data,†all of that changed. Buyers now demand real-time access to data and data-driven insights at any scale, across disparate data sources and from any device. Unfortunately, traditional BI solutions from major technology providers like SAP, IBM, Oracle and others couldn’t keep up.
As a result, an onslaught lightweight data visualization and discovery tools from upstarts such as Qlik and Tableau literally overturned into the market both displacing and/or augmenting those well-entrenched BI offerings. The trouble is, lightweight discovery tools, while well suited to basic data exploration, weren’t built to handle the heavy lifting involved in “proper†data and analytics projects such as data management and advanced analytics (such as data modeling).
Within this Webinar we will make sense of this titanic shift in the marketplace and show you how major vendors have sought to bridge this divide and bring their legacy BI solutions forward to match smaller rivals in meeting requirements such as self-provisioning and guided data discovery, all without sacrificing the original value proposition of BI itself.
Presented by
Brad Shimmin ,
Service Director, Business Technology and Software
Brad has been with Current Analysis for six years, bringing more than 20 years of industry experience to bear on his role as Service Director for Business Technology and Software. Together with the Principal and Senior Analysts supporting a number of research practices, Brad is responsible for monitoring and evaluating activities within three key industry areas, including enterprise data and analytics, collaboration and communication, and application platforms. Specifically, Brad provides detailed analysis of enterprise social networking technologies and data visualization and discovery solutions.