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The CMO Guide to Big Data and Analytics

CMO Guide to Big Data and AnalyticsThe CMO Guide to Big Data and Analytics shows how CMOs can use exploding digital social and transaction data from websites, enterprise systems, smartphones, tablets, cars, appliances, devices and the Internet of Things in surprising ways that have more to do with customer insight than technology.

The digital social world and modern cloud-based technologies have reinvented the practice of “analytics” so that it’s faster, cheaper and more open. I’ll paint a broad picture of this new world before referring you to other resources where you can drill down.

Big data is usually discussed from a big-ticket I.T. perspective, but new technology enables marketers to practice “lean data,” which starts small and proves/iterates hypotheses before scaling with large investments. The biggest barriers are knowledge and imagination, not technology.

Big data elevates opportunities for marketers because they can know their customers and serve them better based on their actions, not only what they say. Conversely, big data is increasing customers’ expectations for being treated as individuals, not “consumers.”

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Chief Digital Officer Needs Analysis: Do You Need a CDO?

Chief Digital Officer Needs Analysis is an executive summary of how CSRA helps organizations assess their need for “going digital” and hiring digital executives. These engagements serve as “requirements analysis” for an enterprise, business or brand.

Improving the Selection Process for Digital Executives

Chief Digital Officer Needs Analysis: Do you need a CDO?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.

Although CSRA’s client work shows accelerating digital adoption […]

CIO Guide to CDOs and Digital Transformation: How to Adapt and Thrive

CIO Guide to CDOs and Digital Transformation: How to Adapt and ThriveCIO 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.

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Why Probability Is the Key to Profit in the Digital Social Big-Data Age

10 Detailed Case Studies + Big Data & Analytics’ New Digital Divide + How to Think Like a Data Scientist Book Review: Numbers Rule Your World/Kaiser Fung

Why Probability Is the Key to Profit in the Digital Big-Data Age[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.

This book is a perfect twin to Duncan Watts’ Everything Is Obvious* Once You Know the Answer, which exposes how common sense pervades management decisions and failure. I shall refer to several specific connections between the […]

Omni-Channel From Brand and Agency Viewpoints: DAA Chicago Symposium

Omni Channel From Brand and Agency Viewpoints: DAA Chicago SymposiumOmni Channel From Brand and Agency Viewpoints takes you behind the curtain of the digital provider world. The audience of the Digital Analytics Association’s Chicago Symposium was focused on omni-channel from the point of view of how its moving parts functioned because members buy and sell media and marketing content. Brand and agency digital professionals are caught in the tidal wave of data, which is straining legacy processes and relationships to the limit.

However, “Attribution” stole the show from omni-channel—and, for a fascinating reason. The same capabilities that enable big data give ecommerce vendors the ability field solutions that “attribute” the value of each media asset to the customer purchase. Hence, attribution is a massive accounting exercise, but it is disruptive to the digital media ecosystem because it enables, in theory, far more inclusive and granular counting of digital content’s impact on ecommerce or mcommerce or even in-store purchase. This is bringing accountability to digital and advertising firms. Just think of all the media that customers see before they purchase something. Agencies and vendors are […]

Digital Transformation's Personal Issue: It's the Key to Customer Experience

Digital Transformation’s Personal Issue reveals personal treatment to be the key to breakthrough customer experience, and it shows how digital social spaces enable Chief Digital Officers to use personal treatment to create more profit. Before they arrive, though, they need to lead their organizations through the Personal Issue. Digital Transformation's Personal Issue

The Personal Issue refers to a perceived conflict between empowered customers and profit-starved companies. Digital social technologies are enabling customers to “re-personalize” business and society because their online interactions among themselves are personal, which is changing their expectations of all interactions.

However, businesses resist treating customers personally because they fear cost and inefficiency. They don’t understand the digital social economics of treating customers personally online, at scale.

Meanwhile, the missions of chief digital officers (CDOs) and chief customer officers (CCOs) are creating bold new “customer experience” and profits by using digital technologies to transform organizations, brands and businesses. They will fulfill their missions far more quickly and completely by using the key.

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Big Data in Healthcare and Education: Two Examples

Big Data in Healthcare and EducationBig 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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Omni-Channel, Retail Mobile and Big Data

Omni-Channel Retail Mobile and Big DataOmni-Channel Retail, Mobile and Big Data offers tantalizing glimpses into current and future omni-channel retail trends and technologies. I “sat down” with three thought leaders and a crowd of smart people on AllAnalytics’ real-time webcast, which featured real-time Q&A with the panelists afterward. You can watch it here.

Panelists Dr. Erik Brynjolfsson, Dr. Yu Jeffrey Hu and Dr. Mohammad Saifur Rahman collaborate on numerous projects, and they are intensely interested in retail transformation. They also referenced one of their recent papers, Competing in the Age of Omnichannel Retailing, and I have added some of its points here as well. The webcast was well moderated by AllAnaytics’ Noreen Seebacher and Beth Schultz.

Although it wasn’t discussed in depth, I observe that big data is especially poignant to retailers for two reasons: they have extremely rich internal, proprietary transaction data on customers (loyalty cards, credit cards, returns information, call center information, service information) and retail customers are the most free-wheeling online. Retail customers discuss their experiences in situations in which they use most types of products. This gives retailers priceless information: […]

Big Data Practical Primer: Junk Charts' Kaiser Fung

Big Data Practical Primer: the book

[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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How to Tap the Social Business Double Value Proposition [CDO Guide to Social Business Part2]

How to Tap the Social Business Double Value Proposition outlines an efficient and rigorous process for using social business for digital transformation in two ways: social business itself can drive reputation, preference and profit, and it’s the fastest way to develop requirements for mobile, ecommerce and big data investments.

How to Tap the Social Business Double Value Proposition [CDO Guide to Social Business Part2]

The social business double value proposition works because it discovers, engages and validates the organization’s understanding of stakeholder outcomes. Every organization’s crucial stakeholders have outcomes that they hope to attain by interacting with the organization or using its products or services. Developing deep and broad knowledge of stakeholder outcomes enables the organization to serve and quickly deepen their relationships with their stakeholders—by helping them attain their outcomes by collaborating online; moreover, since it opens fast and inexpensive communication and collaboration channels with them, it can create a continuous innovation process and sustainable advantage over rivals.

The Guide to Social Business Part2 shows how to maximize efficiency by using external and internal analyses to create and execute social business strategy, step […]