Bill Franks, Datafloq

Bill Franks

Datafloq

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Recent:
  • Unknown
Past:
  • Datafloq
  • Teradata
  • SmartData Collective

Past articles by Bill:

AI-Driven Job Losses in Unexpected Places

I'm going to put forth a somewhat contrarian, view that the jobs soon most at risk from AI could be some we long thought least at risk. → Read More

When Pristine Data Isn't Pristine

The data that you consider pristine and absolutely perfect for its intended use can turn into an absolute mess overnight if the data is used in a different way. While → Read More

Why Synthetic Data is a Next Big Thing

Synthetic data, as the name suggests, isn't real. Instead, it is artificially generated. When first hearing the term 'synthetic data,' it is easy to dismiss it as an unserious concept → Read More

The Link Between Analytics Maturity and Social Media Influencers

What could corporations' analytics maturity and social media influencers have in common? More than you might think! I was emcee for the International Institute for Analytics Symposium in October and → Read More

How Data Products Change the Game

Data products are all the rage these days. At times, there are trends that are more hype than reality. The trend toward data products is not one of them. This → Read More

Recruiting with a Mission-Driven Focus

With the difficulty in recruiting today, especially within the analytics and data science space, you need every advantage that you can get. As a result, focusing candidates on a mission-driven → Read More

Successfully Upskilling An Organization

The need to upskill the data and analytics capabilities of both your analytics community and the broader business and operational communities is widely recognized. It is also difficult to determine → Read More

Teaching the Ethics of Analytics

I've written about and given much thought to ethics and its relationship to analytics and data science. I even worked with O'Reilly Media to compile a book on the topic → Read More

Two Sides to Consider in Scaling the Impact of Analytics

When it comes to scaling analytics at a large organization, a lot of focus has been placed historically on successfully creating clean, consistent data that feeds well-defined, consistent analytical processes. → Read More

Return on Commute: A New Metric to Evaluate Benefits and Cost of Remote Work

It’s no secret that one COVID trend that will remain is that of at least partial remote work arrangements for many professionals. In recent months, there has been a push → Read More

Creating and Delivering an Effective Data-Driven Presentation

Delivering an effective data-driven presentation to a live audience isn’t the same as discussing technical details with peers or compiling a written document. This is especially true when, as is → Read More

A Major Barrier To Scalable Analytics

Every large company wants and needs scalable analytics. That’s always been the case. It’s also always been the case that it is a mighty struggle to achieve the scale required. → Read More

Making Governance Palatable

Governance of data and related analytical processes isn’t something that most people get excited about. In fact, many people dread the idea of working under – or even discussing – → Read More

Predicting Homelessness: The Smarter Tech Behind Smart Cities

Most of my time is spent helping companies – and certain business sectors as a whole – develop the operational analytics and digital strategies needed to leverage new markets and seize competitive advantage. What we’re achieving on this level is revolutionizing entire industries. However, a recent panel discussion I attended on “Smart Cities” reminded me of an even bigger picture: The fact is,… → Read More

Why Predictions Are Not Enough

In recent times, I have read a number of articles lamenting the frequent lack of value resulting from large scale analytics and data science initiatives. While I have seen substantial value driven from many efforts, I have also seen examples where the results were very poor. My belief is that oftentimes the problems can be boiled down to one basic mistake. Namely, thinking that generating… → Read More

Why Being Wrong is the Best Way to Get Your Analytics Right

Failure is not evil; failures in data analytics lead to the best, most valuable company insights. → Read More

Data Preparation: Is the Dream of Reversing the 80/20 Rule Dead?

I recently had someone ask me, “For years we’ve talked about changing analytics from 80% data prep and 20% analytics to 20% data prep and 80% analytics, yet we still seem stuck with 80% data prep. Why is that?” It is a very good question about a very real issue that causes many people frustration. I believe that there is actually a good answer to it and that the perceived lack of progress is not… → Read More

Data Preparation: Is the Dream of Reversing the 80/20 Rule Dead?

I recently had someone ask me, “For years we’ve talked about changing analytics from 80% data prep and 20% analytics to 20% data prep and 80% analytics, yet we still seem stuck with 80% data prep. → Read More

5 Questions About The Analytics of Things

We had a Q&A session with Bill Franks about the Analytics of Things, to get the scoop on what he’ll present at Teradata PARTNERS Conference, and here’s what we discovered – * What is the biggest opportunity right now with IoT and Analytics? What I’m most excited about is all of the new data that’s becoming available and all of the new analytics that the data enables. There are so many varied… → Read More

Embrace Analytic Athleticism

With today’s rapidly changing mix of analytic techniques, toolsets, and platforms, it’s difficult for any organization to be confident it is keeping its analytic workforce and skillsets up to date. I often have clients ask if they need to consider turning over a large portion of their analytics organization in order to adapt to these changes. I firmly believe that this is usually not the case… → Read More