This session will include a moderated Q&A featuring questions from the live audience.
Many companies despite being data-rich are poor in deriving and adopting insights. Research advisory firm Gartner reported that 80 percent of analytics projects do not deliver business outcomes. McKinsey consulting says fewer than 20 percent of companies have maximized the potential of and achieved analytics at scale. According to the market intelligence firm IDC, one major reason for the poor success rate of analytics projects is poor user adoption.
Given this backdrop, one of the solutions to improve analytics adoption is implementing embedded analytics. Fundamentally, embedded analytics is the integration of insights derived from analytics into transactional applications. This capability gives knowledge workers access to a broad array of data and insights, thereby reducing the time for converting insights into actions and business results. In this presentation, Dr. Southekal will give an overview of embedded analytics, where it fits in the analytics value chain, why it matters to businesses, and the key elements required for building embedded analytics solutions.