It’s that great time of year when I finally get to talk publicly about our CX Forum East in New York at the end of June. If you’ve ever been to one of our events you know that we always have a theme, and this year that theme is “Why Good Is Not Good Enough.”
We picked our theme because of the good news/bad news story told by our Customer Experience Index (CXi) results this year. First, here’s the good news: The number of brands in the “very poor” category of the CXi is down to one out of 175 brands we studied. What’s more, only a handful of brands – 10% – are in the “poor” category. Taken together those findings show that as customer experience improvement efforts got traction over the last year, the number of truly awful experiences dropped like a rock.
Now for the bad news: Just 11% of brands in the CXi made it into the “excellent” category.
Taken together, those two pieces of news mean that most brands are bunched up in the middle of the curve – not awful in the eyes of their customers but not differentiated, either. I think of this situation as “okay is the new poor” or, in my darker moments, “the year of ‘meh.’” Regardless, it adds up to the same thing: A merely good customer experience is no longer good enough if you want incremental sales, positive word of mouth, and better customer retention.
In advance of next week’s Forrester’s European Business Technology Forums in London on June 10 and 11, we had an opportunity to speak with Greg Swimer about information management and how Unilever delivers real-time data to its employees. Greg Swimer is a global IT leader at Unilever, responsible for delivering new information management, business intelligence, reporting, consolidation, analytics, and master data solutions to more than 20,000 users across all of Unilever’s businesses globally.
1) What are the two forces you and the Unilever team are balancing with your “Data At Your Fingertips” vision?
Putting the data at Unilever’s fingertips means working on two complementary aspects of information management. One aspect is to build an analytics powerhouse with the capacity to handle big data, providing users with the technological power to analyse that data in order to gain greater insight and drive better decision-making. The other aspect is the importance of simplifying and standardizing that data so that it’s accessible enough to understand and act upon. We want to create a simplified landscape, one that allows better decisions, in real time, where there is a common language and a great experience for users.
2) What keys to success have you uncovered in your efforts?