Big Data isn’t the answer

solve all the problems

In a recent speech, John Costello, former president of Dunkin Donuts, is reported to have said “Big data is not a strategy…” 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 exact words (that I can recall). Again, I wish […]

Data Analytics – Data Modeling, a Necessary first step

Data Analytics - Data Modeling, a Necessary first step

What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep.  Who am I kidding…I’m a data geek and this stuff is interesting…but some folks aren’t quite as excited by this stuff as I am. Data modeling has many different definitions and connotations.  For […]

Data Analytics – The importance of Data Preparation

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

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 […]

What digital projects should you be chasing?


I was talking to a CMO today about their current and future plans for digital projects. We were talking about data analytics, customer experience, technology, social media and other topics when the CMO asked what the ‘next’ project or technology that she and her team should be chasing. She asked: We’ve talked about all data, social, […]

Don’t get “Theranosed”


Kaiser Fung just posted a blog titled “Tip of the day: don’t be Theranosed” where he defines “theranosed” as: Theranos (v): to spin stories that appeal to data while not presenting any data To be Theranosed is to fall for scammers who tell stories appealing to data but do not present any actual data. This […]

Good data science isn’t about finding answers to questions

Good data science isn't about finding answers to question

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

Five things a CEO needs 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 […]

Get the basics first, then go big


I’m not a basketball fan so I wouldn’t normally have caught a great quote from the Golden State Warriors head coach Steve Kerr after a recent loss. Thanks to Todd Hoff on High Scalability and his paraphrasing of a press conference by Kerr, I was able to run across this quote (paraphrased by Hoff): What we […]

The three roadblocks to big data success

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 […]