Personal Individualized Experience: the DNA of Digital Transformation

Personal Individualized Experience: The DNA of Digital TransformationPersonal Individualized Experience is the DNA of digital transformation. It refers to using an optimal mix of people and digital technologies to provide personal interactions at scale, so it’s central to the mission of chief digital officers and CEOs and boards who hire them. Prior to digital and social technologies, organizations faced a trade-off between “personal” and “efficient” interactions with their stakeholders (customers, clients, employees, partners, regulators… hereafter “users”). Now this is no longer true; they can provide personal interactions at scale, once they learn how and where to interact efficiently and authentically.

Used well, digital and social technologies retain an authentic human element while digitizing key aspects of relating to people. Therefore, organizations/firms/brands (hereafter “firms”) can now provide the Personal Individualized Experience (PIE). This post explains the three components of PIE and shows how firms can use them to build and maintain authentic and profitable relationships with users.

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Chief Digital Officers and Transformation

Chief digital officers and transformationChief digital officers and transformation will go hand in hand as the position and its competencies take shape over the next few years. Historically, commercial, government and nonprofit enterprises, when faced with profound business change or technology disruption, respond by elevating new types of leader to the “C” level. Chief Knowledge Officer, Chief Process Officer, Chief Ecommerce Officer and the like become de rigeur for a few years and fade, either because the new disruption proved less sustainable than anticipated or because the competency became subsumed by a more core function.

I predict that the Chief Digital Officer (CDO) will play a vital role at most organizations through 2020, but the organizational role will be fleeting as a standalone. “Digital” will integrate all functions and be the standard eventually, but organizations require intense transformation to get there, so the CDO will play a crucial role. My ongoing analysis of social business adoption indicates that the market for social business transformation will hit an inflection point by 2017, as more advisors and executives see the power and results of digital […]

Noodle X: Anonymity, Marketing and Predicting the Future

Anonymity, Marketing and Predicting the Future shows that, although each culture has its own concepts of “anonymity” and “marketing,” anonymity will prove to have been a temporary phenomenon in most human cultures because communications technologies are counteracting it. Moreover, based on my studies of and experience with sociology, evolutionary psychology and technology, I observe that 20th century marketing is grounded in anonymity, so we can predict the future of marketing by exploring anonymity and its relationship to marketing.

In brief, marketing’s influence is most poignant when anonymity is high and the marketing “target” is ignorant of the product/service and how to use it. In this scenario, the target is most open marketing’s influence. Read on to learn how marketing is related to anonymity, where anonymity is going and how marketing can transform to strengthen its influence.

Marketing organizations that do not transform will be sidelined because anonymity is dissipating fast.

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Size and Value of Bank Branch Networks

Banks are under intensifying profit pressure, so all are reexamining the size and value of bank branch networks. In How Many Bank Branches Do We Need in the U.S., posted in Celent Banking Blog, Bob Meara offers a brief discussion of the concept of “branch flexing,” as coined by Oliver Wyman to describe optimization. It’s no surprise that banks are questioning their massive branch expansions during the 2000s, especially in light of increased capital requirements and regulatory costs, which increase cost of operations. Moreover, margins are razor thin as interest rates are at historic lows.

What does this mean for branches? I’ll offer a surprising alternative.

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Big Data Blowback in Retail: Delving into Customers' Intimate Lives

conversationsIn case you missed it, this seminal post from the New York Times shows a startling example of “big data” hitting retail. Data collection and mining have enabled Target, for example, to predict what degree of pregancy young mothers are in—based on the kind of things they buy.

Although Valley visionaries and enterprise data engineers have been talking about “big data” for years, this post brings it down to the personal retail level. Due to the growing appreciation of social data and behavior, data scientists and marketers now have the glue to use data to increase relevance to customers and clients.

In this post’s main example, data engineers analyzed purchase behavior of pregnant mothers, sifting through voluminous retail data, and they found plenty of patterns that indicated that women were pregnant, down to the trimester! Obviously, enterprises have a large responsibility to use data in ways that won’t violate trust, and many will make mistakes in their efforts to pump up quarterly numbers.Put another way, buying transactions are *very* social, so retailers, whether bricks and mortar or ecommerce, will unleash tremendous intelligence in […]

Understanding Web 3.0 as Data: Reid Hoffman, Founder LinkedIn

Understanding Web 3.0 as Data: Reid Hoffman, Founder LinkedIn summarizes business opportunities and privacy threats of the emerging sea of social data as well as outlining Web 3.0 key concepts and importance.

hoffman_reidIn addition to being the founder of LinkedIn, Reid Hoffman is a Valley insider with rich insight into technology trends, markets and building companies. His main message in this talk at South by Southwest 2011 was that the future was bearing down on us, and he prophesied that it would “arrive sooner and be stranger than we think.”

He painted the context for his theme, “Web 3.0 as data,” with a simple timeline: […]