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Bill Schmarzo

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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. 

clash-of-the-titans-medusa

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.

Funny portrait of a mad geek scientist who like Einstein thinkin

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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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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Point – Counterpoint on Why Organizations Suck at AI

  • Bill Schmarzo 

I love this infographic recently floating around LinkedIn.  Sorry, don’t know to whom to give credit, but it does provide an interesting depiction of how senior management thinks AI works and the realities of what’s required to make AI work.

Handsome bearded man is playing poker sitting at the table in casino.

Data Management as a Business Discipline – Part 2: Theorems and Principles

  • Bill Schmarzo 

In the blog “Why Data Management is Today’s Most Important Business Discipline”, I challenged the business and IT communities to reframe the data management conversation; to transform data management from an IT practice into a business discipline focused on leveraging data (and analytics) to deliver business and operational outcomes.

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