Key Findings from the 2017 BI and Analytics MQ

In today’s high-stakes world of enterprise data security, you need to think like a hacker and act like a Chief Information Security Officer (CISO). Join two seasoned security experts, who once stood on opposites sides of the data-security wall, as they discuss the vital role of data protection in the battle against cyberthreats

The results are in! Over the summer of 2021, Odaseva and Forrester collaborated on a survey studying how CRM professionals in large enterprises feel about their ability to manage data, the challenges they are facing, and the emerging trends impacting their success. The responses were eye-opening.

It’s no secret that trust provides a competitive advantage, with trusted companies outperforming their market peers. Boards, executives, and businesses across the globe want to find ways to build trust with consumers, employees, investors, and all stakeholders. But how do you define metrics, quantify, and measure trust?

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.