In part 1 of the 4-part blog series, “Unleashing the Business Value of Technology Part 1: Framing the Challenge”, I introduced the 3 stages of “unleashing business value”:  1) Connecting to Value, 2) Envisioning Value and 3)…

I’m overjoyed to announce the release of my latest book “The Economics of Data, Analytics, and Digital Transformation.”  The book takes many of the concepts discussed in this blog to the next level of pragmatic, actionable detail.  Thanks for your support!

I recently read…

“Data Monetization.  Data Monetization. Data Monetization.”

Every business executive chants this mantra like it’s a magical incantation for driving an organization’s digital transformation. Heck, it reminds me of the “Shame. Shame. Shame” chant from the Game of…

Figure 1: Unleashing the Value of Technology Roadmap

In part 1 of the blog series “…

Figure 1: The Art of Thinking Like a Data Scientist

I love teaching because the onus is on me to clearly and concisely communicate my concepts to my students.  As I told my students, if I am describing a concept and you don’t…

My recent journeys have brought me before both technology vendors and technology customers, and interestingly enough, both are asking the same question:

“How do we unleash the value of our technology investments?”

For technology vendors, more and more of their success is tied to their ability to help their customers unleash the…

Figure 1: “Data Science Roadmap 2021” by FreeCodeCamp

The “Data Science Learning Roadmap for 2021” in Figure 1 created by FreeCodeCamp…

I’m overjoyed to announce the release of my latest book “The Economics of Data, Analytics, and Digital Transformation.”  The book takes many of the concepts discussed in this blog to the next level of pragmatic, actionable detail.  Thanks for your support!

Organizations…

The “Economies of Learning” are more powerful than the “Economies of Scale”

This may be my most powerful concept (outside of the Schmarzo Economic Digital Asset Valuation Theorem and the…

“I love it when a plan comes together” – John (Hannibal) Smith, The A Team

One of the biggest challenges that I continue to see are organizations struggling to cross the Analytics Chasm; to transition their use of data and analytics from retrospective Business Intelligence that monitors what has happened to AI/ML-driven…

What if I told you that companies that don’t embrace Ethical AI are leaving significant amounts of “Money on the Table”; that they are not only missing out on potentially profitable customers, but that over time they are eroding their Total Addressable Market (TAM)?  Do I have your attention now?

After I published the blog “…

As I state in the opening paragraph of my new book “The Economics of Data, Analytics, and Digital…

In the blog “How Can Your Organization Manage AI Model Biases?”, I wrote:

“In a world more and more driven by AI models, Data Scientists cannot effectively ascertain on their own the costs associated with the unintended consequences of False Positives and False Negatives. Mitigating unintended consequences requires the collaboration across a diverse set of stakeholders in…

Ah, the fond memories of the early days of Saturday Night Live and the hilarious “Point / Counterpoint” debates between Jane Curtin and Dan Aykroyd. I can just imagine this routine being played out today over the value of data…

Jane Curtin: “Dan, you ignoramus.  Everyone knows that data is the new oil; that data will power the economic growth of the 21^st century. Heck, The Economist even declared…

Okay, I'm as mad as hell, and I'm not going to take this anymore! If data scientists are the modern-day alchemist who turn data into gold, then why are so many companies using leeches to monetize their data?

When I talk to companies about the concept of a “Chief Data Monetization Officer” role, many of them look at me like I…

This blog was originally written in 2012, and am republishing it because with the increased use of black box AI / ML models to power key operational decisions, these human decision-making traps need to be thoroughly and holistically addressed during the analytics definition stage to avoid the dangers of unintended consequences.

Organizations are looking to integrate big data and advanced analytics into their business operations in order to become more…

I’ve been reading the interesting and soul-searching (from a data scientist perspective) book from Cathy O’Neil titled “Weapons of Math Destruction”, or WMD as used in the book.  The book provides several real-world examples of how Big Data and Data Science – when not properly structured – can lead to ethically-wrong unintended consequences. 

Chapter…

I love talking about business models because in the end, it’s usually the best business model, not the best technology, that wins the day. And digital transformation has the potential to reinvent business models by leveraging superior customer, product and operational insights to disrupt industry value chains and disintermediate customer relationships (see Figure 1).…

One of the industry’s great debates (bigger than regular Cap’n Crunch versus Cap’n Crunch with Crunchberries) is “What is Digital Transformation?”  Here’s my take:

Digital Transformation is the fundamental reinvention of an organization’s business model by synergizing advanced analytics (composable, reusable analytic…

Ghostly greetings!

I believe everyone is born with the innate, curiosity-driven, explore-test-learn Data Science capability. At Halloween, kids naturally embrace a rapid exploration, rapid testing, failure-empowering “Scientific Method” to optimize their candy yield and logistical “Trick or Treating” algorithms.

So, what can we –…