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?

digital-marketing

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”

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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

simple

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 […]

IDC Forecasting Continued Growth in Big Data

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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?

Gartner's Hype Cycle

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 […]