In my prior blog “Reframing Data Management: Data Management 2.0”, I talked about the importance of transforming data management into a business strategy that supports the sharing, re-using and continuous refinement…

A cartoon making its way around social media asks the provocative question “Who wants clean data?” (Everyone raises their hands) and then asks, “Who wants to CLEAN the data?” (Nobody raises their hands).  I took the cartoon one step further (apology for my artistic skills) and asked, “Who wants to PAY for clean data?” and shows everyone running for…

This is the second part of a 2-part series on the growing importance of teaching Data and AI literacy to our students.  This will be included in a module I am teaching at Menlo College but wanted to share the blog to help validate the content before presenting to my students.

In…

This is the first part of a 2-part series on the growing importance of teaching Data and AI literacy to our students.  This will be included in a module I am teaching at Menlo College but wanted to share the blog to help validate the content before presenting to my students.

Wow, what an interesting dilemma. Apple plans to…

In July 2014, Malaysia Airlines Flight 17 (MH17), a passenger flight from Amsterdam to Kuala Lumpur, was shot down over eastern Ukraine. Over the next four years, Bellingcat – an independent international collective of researchers, investigators, and citizen journalists – combined open source and social media data with an inquisitive and curious…

Instead of focusing on “Automated Machine Learning” or AutoML, maybe we should focus on “Automated Data Management” or AutoDM?

You probably know that feeling. You start a blog with some ideas to share, but everything changes once you get started. That’s what happened with this blog.  I discussed the promise and potential of…

In Chapter 8 of my new book “The Economics of Data, Analytics, and Digitalization Transformation”, I discuss the 8 Laws of Digital Transformation.  My goal for chapter 8 was to push folks out of their comfort zones, especially with respect to how they are defining Digital Transformation success. Why?…

Okay, this is on me.  I own it.  My blog “Why Data Monetization is a Waste of Time” created quite a stir.  I loved it.  I’d like to take this “data monetization” conversation one step further:

Most organizations should not be…

Hallelujah brother, I’ve seen the light!

I’m a HUGE believer in the liberating mindset of Design Thinking. For example, Design Thinking not only makes Data Science more effectively, but it helps avoid the devastating unintended consequences of an AI capability that can continuously-learn and adapt at speeds exponentially…

I recently conducted a 3-day, remote “Data Monetization: Thinking Like a Data Scientist” workshop for a transportation agency in the Middle East.  Doing this training remotely is a personal challenge as I miss the face-to-face interaction in ideating, validating, and prioritizing the business areas that can benefit from data and analytics.  However,…

How much money is your organization leaving on the table by not being more effective at leveraging data and analytics to power your business?

This question is becoming more and more relevant for all organizations of all sizes in all industries as AI / ML capabilities become more widely available.  And nothing highlights the…

Here, let’s start this blog with some controversy:

“For most organizations, data monetization is a total waste of time”

I've been having lots of conversations recently about where the Data and Analytics organization should report.  Good anecdotal insights, but I wanted to complement those conversations with some raw data.  So, I…

Figure 1: The movie Big: “I don’t get it”

In the blog “What Movies Can Teach Us About Prospering in an AI World – Part 1”, I laid out the challenge that us humans will face surviving in a world dominated by AI.  I discussed the…

In his book “Outliers”, Malcom Gladwell unveils the "10,000-Hour Rule" which postulates that the key to…

I’m starting to see the big consultancies and advisory services coming out with their lists of “what’s hot” from a data and analytics perspective.  While I may not have the wide purview of these organizations, I certainly do work with some interesting organizations who are at various points in their data and analytics journey.

With that…

Senior executives trained in accounting continue to struggle to understand how to determine the value of their data. The article “Why Your Company Doesn’t Measure The Value Of Its Data Assets” written by Doug Laney (by the way, why does the Forbes web site absolutely bury the reader in ads?) contains a telling comment from a senior accounting firm…

“If you make decisions based upon averages, at best, you’ll get average results”

During the 1950s[1], United States Air Force pilots were having trouble controlling their planes. The problem turned out to be the cockpit, or more specifically, the fact that the cockpit…

Figure 1: How Data and Analytics Mastery is Transforming The S&P 500

Artificial Intelligence (AI) has proven its ability to re-invent key business processes, dis-intermediate customer relationships, and transform industry value chains.  We only need to check out the market…

We are now ready to wrap up the four-part series on how technology vendors – especially data and analytic technology vendors (and what technology vendors are not involved in data and analytics nowadays) – can help their customers to “unleash the business value of their technology investments.”

I wrote this four-part series because in my…

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)…