Big Data in Healthcare and Education shares how U.S. and UK government agencies used big data & analytics to help evolve national policy and outcomes. These examples are useful because they show the range of big data projects; the U.S. example is simple, yet it has profound impact on the health of the citizenry and therefore on the economy. The UK example is more involved and shows in depth how organizations can use big data to address expensive programs that are full of unknowns—like national education.
This post shares my notes from a recent Deloitte Dbriefs webcast, Analytics in Action, which you may watch and download its slides. The webcast was moderated by Steve Dahl, and David Weir and Haris Irshad presented the examples.
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The rise of design signaled the fall of Nokia, RIM and Motorola describes how engineering is becoming less important in distinguishing hightech and other products from each other. It also presages a seismic shift away from product towards customer experience in determining market leaders for people-oriented products and services. A very large portion of product companies will follow in the footsteps of these three former mobile phone titans unless they transform their focus from product features (engineering) to customer experience (design).
By no means do I imply that engineering is not important—in fact, it is more important than ever—I assert that it is less important than design in differentiating people-oriented products. Engineering is abstracted away from the customer/user of the product, and design explicitly addresses how the customer uses the product to attain outcome(s).
Design is to the Knowledge Economy what engineering was to the Industrial Economy.
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[UPDATED] Big Data Practical Primer is my notes from Kaiser Fung’s presentation at Big Frontier in which he highlighted his new book, Numbers Rule Your World. Big data is a simple word, but its nuances are critical and require a new way of thinking. This presentation did a good job of covering many high-level definitions and issues of big data & analytics and combined those with some practical how-tos that may surprise you. It can be fairly easy to make serious impact, but, as I suggest in Insights, the biggest barrier to big data is one of imagination and the requirement to think creatively about using data correctly to make business decisions that pay off.
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[UPDATED] The Future of the Retail Store in the Omni-Channel Age is third in CSRA’s retail & omni-channel series, and it is especially relevant to Chief Digital Officers, who orchestrate profound organization change using digital technologies and processes. It also offers rare opportunity to high-stakes CMOs. Part1 of The Future of the Retail Store outlines several aspects of market disruption that are affecting retailers as a group, albeit by varying degrees. Part2 features examples of “reimagining retail” for mobile, banking, grocery, hardware and apparel “stores.”
“Future” provides practical examples for the main thesis carried through the series: retailers can thrive by thinking beyond “the product” and its selection, assortment, pricing, etc., because these have a decreasing impact on revenue and profit. Digital social enables customers and retailers to focus on how customers create value with products and services, so when properly used, social is a strong profit driver, and profits are what retailers need to survive and thrive. As examples illustrate, retailers can go with the “showrooming” trend by enabling customers to imagine […]
Chicago-Style Innovation is my notes from Lightbank Innovation Day, which took place on 9 May 2013 at the City Winery (presentations) and Lightbank’s offices (networking). Throughout the day, it was obvious that the Knowledge Economy’s Social Channel was unfolding; entrepreneurs’ startups are stripping off an increasing breadth of enterprise processes and using digital social software to improve them. For example, Needle’s platform creates experts in user (customer) use cases and outcomes that outperform anyone at retail; Fieldglass, HighGround, Fooda, oDesk and TalentBin take aim at various parts of human capital while Aon Hewitt showed how to practice enterprise innovation on the inside; DoubleDutch aims to [at long last] digitize trade shows and conferences through its platform’s geosocial functions. Sprout Social and Contently offered social tools.
Presenters Gian Fulgoni, J Schwan and Ramon De Leon shared valuable advice for entrepreneurs, investors and enterprise executives. Fulgoni provided statistics that showed how mobile was eclipsing ecommerce and analog commerce; Schwan opened the audience’s eyes to Ubiquitous Computing and the Internet of Things, and De Leon showed the power of (pervasively ;^) being yourself.
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Ron May, 1956-2013
Ron May Digital Social Pioneer, and the notorious Chicago hightech commentator and analyst, died on 23 June 2013. Since I knew Ron longer and better than many people, I’ll reflect on what I knew of his life and considerable gifts and contributions. Above all, I’ll try to convey what Ron taught me about the digital world, where he was a pioneer among pioneers.
I met Ron in late 1996 in Dick Reck’s office at KPMG, when The May Report was fledging. It was obvious that he was unusually smart and passionate and motivated, and I learned that these traits were the foundation of Ron May the person. Ron May cared, and he had strong opinions. He had a brilliant inquisitive mind and indefatigable energy. I had a few conversations with Ron about his health over the years, and I suspect that it had a large impact on how he felt and interacted in public.
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Empowered customers and omni-channel commerce are mirrors of each other, and both are transforming “retail.”
[UPDATED] Connected customers have the Internet in their pockets and use mobile and other devices in all stages of conceptualizing, considering, evaluating, buying and using purchased products and services. These customers want to interact with firms and brands in a seamless experience that features single sign-on as an entry point; they want the firm to respond using their individual data when that makes interacting more valuable. Omni-channel commerce refers to a collection of technologies, practices and strategies firms use to provide the personal individualized experience that connected customers expect.
IBM’s 2012 study of retail customers in eight mature economies (Australia, Canada, France, Italy, Japan, Spain, the UK and the USA) and seven growth economies (Argentina, Brazil, Chile, China, Colombia, Mexico and South Africa) lays bare that the retail “shopping” experience has shifted profoundly, although you wouldn’t know it by looking at most offline or online retailers’ presences. The paper, “Winning over the empowered consumer: Why trust matters,” is a call to […]
How Mobile Transforms Relationships Between Brands and Customers presents underappreciated aspects of mobile user behavior before outlining three approaches for engaging customers and other stakeholders.
As outlined in Ubiquitous Computing Primer, “mobile” is much more than a channel or platform internet-connected devices. By any measure, the Internet’s information and utility are growing exponentially, and mobile devices put the Internet in people’s pockets, so they transform human capabilities and experience.
People plus the Internet have expanded abilities to act and perform. For example, having the optimal assortment of travel apps enables people to avoid many problems and capitalize on opportunities; they miss planes less often, pay less for hotels and suffer less crime. The same holds true for most human endeavors, so people without mobile internet are increasingly at disadvantage. [For more context, see: 1) the “Geoweb” and “Web 3.0.”
How Mobile Transforms Relationships Between Brands and Customers is Part2 of The CDO Guide to Mobile for Digital Transformation.
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Personal 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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Ubiquitous Computing Primer reveals mobile’s ultimate business context and enables astute digital executives to create a whole new layer of value from their mobile investments. “Mobile” is far more important than launching smartphone and tablet apps because “smart” devices will interact with each other to provide a new level of capability and customer experience. This primer is a very brief treatment of a complex subject, so follow its links to drill down.
In 2013, smartphones and tablets imply that people are interacting with each other and “the Internet,” but “mobile” is becoming a “feature” of all kinds of devices and products in a phenomenon called “ubiquitous computing.”
Ubiquitous Computing Primer is Part1 of The CDO Guide to Mobile for Digital Transformation.
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