The Digital-First Enterprise


This week I attended the Annual Directions Conference  held by research firm IDC. Because of the coronavirus, the conference was held online. Here are some of the key messages – a deeper analysis is provided by Michael J. Miller, chief information officer at Ziff Brothers Investments and can be found Here.

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From Automation to Hyper-Automation


In a recent Article, Gartner says that no single tool available today can replace humans in the workplace. The article goes on to say that hyper-automation is a response to this challenge – bringing together different tools, technologies and techniques to amplify every company’s ability to automate more processes, more rapidly, with better results.

It is no secret that productivity has slowed. In a Post from 2016, I described this phenomenon in detail. According to Wikipedia, productivity is an average measure of the efficiency of production. It can be expressStalled Productivityed as the ratio of output to inputs used in the production process. In a Citi Report I shared in that post, they describe the significant slowing of labor productivity growth, which drives a focus on next generation gains. But In spite of technological progress and innovation, measured productivity growth is low by historical comparison.

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5G is Likely to Accelerate Innovation in the 2020s


As a foundational piece of the Fourth Industrial Revolution, 5G is likely to drive the human development that many anticipate. Viewing 5G through the lens of convergence provides an organizing principle that allows us to leverage insight across domains and derive foresight as a result. 5G, the next generation of cellular mobile communications technology, is the best example of convergence – as geopolitics is getting involved in emerging technology decisions and technology discussions are influencing geopolitics.

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Agility


Agility is one of those buzzwords that can have many different meanings. In a recent article by Leo M. Tillman and General Charles Jacoby, they define Agility much the same way I think about it:

Agility is the capacity to detect, assess, and respond to environmental changes in ways that are purposeful, decisive, and grounded in the will to win

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Target Transforms by taking a Long Term View


A recent Article describes how Target transformed from a Retailer with stores in disrepair and leaders that struggled to adapt to changing consumer behavior, Target Retailerto a company that is thriving. Their first quarter results for 2019 beat analysts’ expectations, the store’s private-label lines are exploding, and the stock price is trading at an all-time high.

Target CEO Brian Cornel made a huge announcement in March of 2017 that it planned to invest over $7 billion in a turnaround strategy – Wall Street was not impressed, as Target suffered its largest stock plunge in almost a decade on the day of the announcement. But Mr. Cornel took a page out of Jeff Bezos book and pushed forward on a plan that included:

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IBM Report on Analytics


In October, IBM released a report from their Institute for Business Value titled Analytics – A Blueprint for Value. IBM releases these reports on a periodic basis, and this one is focused on the growing importance of analytics to business success. Through their analysis, they came up with nine levers that represent the sets of capabilities that most differentiated leaders exhibit:

  1. Culture: Availability and use of data and analytics within an organization
  2. Data: Structure and formality of the organization’s data governance process and the security of its data
  3. Expertise: Development of and access to data management and analytic skills and capabilities
  4. Funding: Financial rigor in the analytics funding process
  5. Measurement: Evaluating the impact on business outcomes
  6. Platform: Integrated capabilities delivered by hardware and software
  7. Source of value: Actions and decisions that generate results
  8. Sponsorship: Executive support and involvement
  9. Trust: Organizational confidence

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MIT Big Data Panel Discussion


In May, I participated in a Big Data panel discussion at the 2013 MIT Sloan CIO Symposium. The panel was moderated by Tom Davenport, Harvard Professor and co-founder of the International Institute for Analytics. The panel participants aside from myself were:

  • Annabelle Bexiga, CIO, TIAA-CREF
  • Jack Norris, CMO, MapR
  • Keith Collins, SVP, CIO & CTO, SAS Institute
  • Michael Chui – Senior Fellow, Mckinsey Global Institute

This was a very good discussion on the potential of Big Data and the possible direction it takes in the future. Michael Chui did a great job with his opening remarks, referencing this Mckinsey Report and using examples from it. This report, which I have mentioned previously, focuses on major disruptive technology. It is interesting to hear the perspectives (and sometimes biases) of these industry players. It’s an hour and ten minutes long, with some very good audience questions.