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

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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 […]

Don’t focus on the data, focus on what the data tells you

Should we stop talking about big data, and start talking about insights?

In a recent post on O’Reilly Radar titled “Turning big data into actionable insights“, Ben Lorica provides some highlights of an interview with Evangelos Simoudis regarding big data. One of the highlights is extremely important. It relates to the importance of finding actionable insights from big data and sharing those insights in a way that the organization can […]

Start small with Big Data

Start small with big data

Big data doesn’t have to be used to solve big problems. Big data sure makes it easier to solve big problems, but you can just as easily use big data and data analytics to solve ‘smaller’ issues. In fact, if your organization is just getting started in the world of big data, it makes sense […]

To have a great analytics culture, you need a great communications culture

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When you read about big data and/or data analytics projects and systems, it is rare that you also read bout communicating the outcome of those projects. Without the ability to communicate the results of any analysis to the broader business, most big data / analytics projects are doomed to mediocrity…or even failure. The quantitative mind […]