Why T-Mobile Needs a Chief Customer Officer shows how customers’ omni-channel interactions with enterprises demand profound integration of business processes, and how firms’ failure to “go all the way” in breaking down silos ultimately threatens business. Most firms don’t go far enough, including T-Mobile, and their silo-centric efforts fail to get the job done. To illustrate the point, I’ll share how T-Mobile alienates fans like me by not delivering what they promise.
This story also shows that the need for a CCO is particularly acute in mature economies like the U.S.A. and Europe because their silos were built decades ago, and their legacy processes often adversely affect customer experience.
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Customer success and experiential social media identifies three pitfalls that too often prevent customer success initiatives from attaining their potential for improving customer experience. In case you’re not familiar with the customer success movement, I outline its origins and scope, so you can appreciate the pitfalls and avoid them.
11 Celebration summarizes my reflections on CSRA’s first decade in business, and my vision for our next decade. We’ve been pioneering in experiential social media and social business transformation since I founded the firm in February 2006.
Ethnographic research for business innovation shows how to apply ethnographic research of social media to managing controlled disruption within organizations. Ethnographic research of social media can transform the entire innovation process because it’s a very efficient way to study the behavior and motivations of the people that the innovation proposes to serve. Unlike traditional innovation and ethnographic research methods, which are relatively slow, costly and qualitative, ethnographic research of social media combines qualitative richness with quantitative analysis. It’s faster and less costly, too.
Astute CEOs and boards of established firms and brands are awakening to an increasingly uncomfortable reality: for many, business results have been flat, and customers are behaving “unpredictably.” Since this is such a prevalent trend, there is emerging consensus that “going digital” is the way to get closer to customers(1) and revitalize business. CEOs or board members get on the phone to their executive recruiter to search for a Chief Digital Officer, a “digital CMO,” or maybe a digital-savvy CIO to lead digital transformation. As we’ll see, in so doing they are too often putting the cart before the horse. They will get better results by assessing their needs for digital expertise first, so I’ll offer a simple yet robust needs assessment process.
Why Machines Won’t Displace Human Workers in the Knowledge Economy is a short thought experiment, in the spirit of all Noodles, which was in response to a post in Wired. In Here’s How to Keep the Robots From Stealing Our Jobs, John Hagel posited that a major rationale for the Knowledge Economy firm would be its role as a “knowledge platform” that enabled people to accelerate their learning and productivity. I highly recommend the post, which sparked many intelligent comments.
CIO Guide to CDOs and Digital Transformation summarizes a presentation I gave to TechLeaders Association, a Chicago-based CIO group. It will brief you on how digitally empowered B2C and B2B customers are forcing change on enterprises by demanding seamless interactions across digital and analog interfaces, the rise of the Chief Digital Officer and how CIOs can use this disruption to their advantage. Omni-channel will become the new normal in industries in which a leader provides the omni-channel experience and raises the bar. While explaining omni-channel, I asked the room how many had abandoned transactions with ecommerce or mobile sites because they were too difficult to use, and 40% raised their hands. When leaders field their omni-channel experiences, customers will reject laggards en masse. CIOs can use these developments to their advantage, and the CIO Guide to CDOs and Digital Transformation shows how.
[UPDATED] Step inside a data scientist’s mind, and learn why probability is the key to profit and how it’s the key to understanding and using big data for better decision making. This fascinating and useful book clearly shows how people misunderstand probability and misuse statistics—and therefore big data—and how the knowledge gap leads to faulty models, thinking and decisions. New winners and losers are emerging in the digital social and big-data age. A new digital divide, people who think like data scientists and use probability to support decision making—and everyone else. The data science group will outperform, and Fung shows how creative, fun and useful data science is.
[Updated] There’s a much deeper context that makes the two socials vital: many of the assumptions on which business is built are being completely disrupted. For only one example, as Chief Marketer myself, I used to follow the mantra, “We always want to show our brand in the most positive light” (even when we’re lackluster). That impulse is increasingly risky. Take a few minutes and reflect on how profound that change is. Entire marketing and public relations industries are built on it, and it is very risky because people reveal the obfuscation and half-truths that used to work. There is no such thing as a “half” truth.