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 be ‘solved’ with a form of regression.  They may not be the simple […]

Your data project is going to fail

I hate to be the bearer of bad news….but your data project is going to fail. Maybe not the one you’re working on today. Maybe not the one you’re starting next month. Heck, maybe not the one you don’t even know about yet…but at some point in the future – if you stay in the data world […]

Big Data isn’t the answer

In a recent speech, John Costello, former president of Dunkin Donuts, is reported to have said “Big data is not a strategy…”. Well…let me say that big data isn’t the answer. I wish I had said that sometime in the past few years. I think I’ve similar things but I haven’t come right out and said those […]

Data Analytics – The importance of Data Preparation

How many of you would go sky diving without learning all the necessary precautions and safety measures necessary to keep you alive? How many of you would let your kid drive your car without first teaching them the basics of driving?  While not as life-and-death as the above questions, data preparation is just as important to […]

Data Analytics – Prescriptive vs Descriptive

You’ve collected tons of data. You’ve got terabytes and terabytes of data. You are happy because you’ve got data. But, what are you going to do with that data?You’ll analyze it of course. But how are you going to analyze it and what are you going to do with that analysis? How does data analytics come […]

Good data science isn’t about finding answers to questions

I just finished reading an article over on Fast Company titled “How Designers Are Helping HIV Researchers Find A Vaccine.”  The story related in this article is a perfect example of what ‘good’ data science looks like.  The data scientists and designers worked together to build a platform that made it easy for anyone to dive […]

Five things the CEO wants to know about Big Data

I spend a lot of time talking to companies about big data and data science. Many conversations are with people at the CxO level (CEO’s, COO’s, CFO’s, etc etc) and usually revolve around basic discussions of big data and data analytics.   One of the things that has surprised me a little from these discussions […]

The three roadblocks to big data success

Anne Fisher just published a nice piece titled “Why Big Data Isn’t Paying Off for Companies (Yet)” where she describes research from the American Institute of CPA’s (AICPA) regarding big data initiatives within organizations around the world. You can jump over to the study itself but Anne does a very good job describing the findings in […]

IDC Forecasting Continued Growth in Big Data

Earlier this week, I wrote “Where are we in the big data lifecycle?” where I said that we are currently somewhere between the ‘technology trigger’ and ‘peak of inflated expectations’ on Gartner’s Hype Cycle for big data. A newly released report from IDC titled “Worldwide Big Data Technology and Services Forecast, 2015–2019” predicts that we will continue […]

Where are we in the big data lifecycle?

Pricewaterhouse Coopers (PwC) and Iron Mountain just released a report titled “How organizations can unlock value and insight from the information they hold“. Along with the report, they’ve released an infographic that I thought worth sharing but before the infographic, let me share a few of the highlights and offer some opinion on the results. A […]