Beware the Models

“But….all of our models have accuracies above 90%…our system should be working perfectly!” Those were the words spoken by the CEO of a mid-sized manufacturing company. These comments were made during a conversation about their various forecasting models and the poor performance of those models. This CEO had spent about a million dollars over the […]

Big Data Roadmap – A roadmap for success with big data

I’m regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success.  Most organizations want to jump in a do something ‘cool’ with big data. They want to do a project that brings in new revenue or adds some new / […]

Are your machine learning models good enough?

Imagine you’re the CEO of XYZ Widget company.  Your Chief Marketing Officer (CMO),  Chief Data Officer (CDO) and Chief Operations Officer (COO) just finished their quarterly presentations and were highlighting the success from the various machine learning projects that have been in the works. After the presentations were complete, you begin to wonder – ‘are […]

Deep learning – when should it be used?

“When should I use deep learning?” I get asked that question constantly. The answer to this question is both complicated and simplistic at the same time. The answer I usually give us something along the lines of ‘if you a lot of data and an interesting / challenging problem, then you should try out deep […]

When it comes to big data, think these three words: analyze; contextualize; internalize

If you don’t know, I’m a bit of a data nerd.  I’ve been writing about big data, data science, machine learning and other ‘new’ stuff for years.  I believe in data science and I believe in big data. I’m a fan of machine learning (but think you probably don’t need it) for the majority of […]

Data and Culture go hand in hand

A few weeks ago, I spent an afternoon talking to the CEO of a mid-sized services company.  He’s interested in ‘big data’ and is interviewing consultants / companies to help his organization ‘take advantage of their data’.  In preparation for this meeting, I had spent the previous weeks talking to various managers throughout the company […]

The Data Way

The world has become a world of data. According to Domo, the majority of the data (roughly 90% of it) that exists today has been created within the last two years. That’s a lot of data. Actually…that’s a LOT of data. And it’s your job to use that data to make better decisions and guide […]

Data Quality – The most important data dimension?

In a recent article I wrote over on CIO.com titled Want to Speed Up Your Digital Transformation Initiatives? Take a Look at Your Data, I discuss the importance of data quality and data management in an organization’s digital transformation efforts.  That article can be summarized with the closing paragraph (but feel free to go read the […]

Don’t forget the “Science” in Data Science

Just a reminder to everyone out there: This isn’t Data Magic….it is Data Science.  The word ‘science’ is included there for a reason. I would LOVE for magic to be involved in data analytics. I could then whip up a couple of spells and say “abra cadabra’ and have my data tell me something meaningful. […]

You (probably) don’t need Machine Learning

Statistically speaking, you and/or your company really don’t need machine learning. By ‘statistically speaking’, I mean that most companies today have no absolutely no need for machine learning (ML). The majority of problems that companies want to throw at machine learning are fairly straightforward problems that can be ‘solved’ with a form of regression.  They may not be […]