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Data Strategist

This rubric covers organizational strategy and how digital transformations, the effective use of AI, big data and related technology are essential to an overall framework for business success in the digital age.

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Digital Age Kool Kids Klub:  Chief Data Officers and Chief Economists

  • Bill Schmarzo 

Do you remember those high school days when there was always this one cliché to which all the “kool” kids belonged?  The “Kool Kids Klub” members held the best parties, got the best dates, got into the right colleges, got the right jobs, and married the right partners.  And they accomplished all this cool stuff right in front of everyone, yet no one could figure out what made them so cool.

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AI and Data Literacy: A National Mandate

  • Bill Schmarzo 

I recently participated in a regional workshop of government, education, business, and social leaders where we were trying to ascertain and assess 1) the certainty of national trends and 2) the impact of those trends on the region. 

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Leveraging Agility to Create Economies of Learning Mindset – Part 1

  • Bill Schmarzo 

A recent HBR article, “Why Do Chief Data Officers Have Such Short Tenures?” by Thomas Davenport, Randy Bean, and Josh King, highlighted the Chief Data Officer’s (CDO) “Data-to-Business Innovation” challenge. The main charter for the CDO is to accelerate the Data-to-Business Innovation flywheel; to guide the business in becoming more effective at leveraging data and analytics to optimize its key business and operational use cases.

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Data Management as a Business Discipline – Part 3: Enabling Frameworks

  • Bill Schmarzo 

A Business Discipline consists of systematic research, observation, measurement, and experimentation resulting in the assimilation of learnings into laws, theorems, concepts, principles, practices, frameworks, and formulas to enable the consistent application and ongoing enhancements from the real-world application of that discipline.

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Second Order Thinking

  • Osama Rizvi 

Complexity arises from permutations, and to achieve long-term goals, it is often necessary to determine which permutations are both achievable and desirable.

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Data Subassemblies and Data Products Part 1: Modern Data Management Building Blocks

  • Bill Schmarzo 

I believe that there are two key modern data management “products” required to transition data management into a business discipline focused on helping organizations accelerate their data-driven business innovation. One of those “products” – Data Products – is already gaining wide acceptance as a way for organizations to monetize their customer, product, service, and operational insights or predicted behavioral and performance propensities.

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The Studio Model Revisited

  • Kurt Cagle 

On the other hand, studios produced a different kind of product – entertainment. Superficially, the studio model looks more agile than either the factory floor or the corporate floor, with a certain degree of experimentation and iteration, especially early on in the process. Yet there are critical differences as well.

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