Today’s data-savvy companies actively seek ways to enhance their approach to analytics and evolve out of the past. While the first wave of BI involved static, rigid, IT-owned systems, and the second expanded the capabilities to a more business-facing analyst set, the third wave aims to infuse analytical activity into multiple layers of non-technical business roles. As a key strategy to enable this third wave, companies today are exploring an embedded approach that places analytical activity directly in the context of everyday user applications, and the independent software vendors (ISVs) and enterprises providing those applications have taken notice of this trend. Done efficiently, embedded analytics promotes faster deployment and pervasive usage of analytics for end-users while delivering a competitive advantage and the opportunity for new revenue streams for software vendors and enterprises.
During this “fireside chat” webinar, join Mike Lock, Aberdeen S.V.P. of Research and Kevin Smith, Vice President of Product Marketing at GoodData as they discuss this “Third Wave of Analytics” in context. The conversation will touch on key research findings from Aberdeen’s recent Embedded Analytics survey, discuss the attainable results for ISVs and those companies seeking to embed analytics in their solutions, and provide real-world examples of companies putting this approach into action.
We look forward to having you join us!
The GoodData Enterprise Insights Platform is a cloud-based, end-to-end solution that gathers data and user decisions and transforms them into actionable insights delivered at the point of work. This empowers enterprises and software companies to integrate insights and machine learning into applications so that their customers, partners, and employees can make more intelligent decisions, faster.
GoodData is headquartered in San Francisco and backed by top-tier investors like Andreessen Horowitz, General Catalyst Partners, Intel Capital, TOTVS, and others. For more information visit our website and follow GoodData on Twitter and LinkedIn.