Today’s Data Challenge is Yesterday’s Data Challenge

If you spend any amount of time reading or talking about big data, you’ll often find that one of the challenges facing an organizations use of big data today is the same as problem that these organizations faced just a few years ago: using the data to actually do something. Before the popularity of big […]

Data is only as good as you make it

I’m currently working with a client who is very immature when it comes to data analysis.  This particular client has no history of analyzing data and barely any history of reporting. Their idea of analysis is looking at a few finance reports to see how the business is doing. Now, if this particular client was […]

The Dichotomy of Data Access and Data Privacy

In order to use data within your business, you must first collect that data. Seems simple enough right?  You capture some data, store it somewhere and the use that data at a later time in your analysis. What about data privacy concerns? Where are you collecting your data? How are you protecting that data?  Are […]

Big Data + Big Analytics = Big Insights

In “Big Data, Big Analytics and You”, I wrote: “Big data is obviously important to most organizations. There’s plenty of data out there and even more data being generated every day. But big analytics is just as important. Without the ability to analyze the data you have at the speed and scale it is being […]

Is Big Data Worth It?

I just read an article titled “Marketers: Is Big Data Worth It?” In the article, the author, Larisa Bedgood, does a very good job of addressing the question of whether big data is important for organizations to focus on.  The author rites that: The moral of the story? It’s about the data, or rather the insights derived from […]

Big Data, Big Analytics and You

Big data has been a popular topic over the last few years.  Many organizations have been studying big data systems and processes as well as the science behind capturing, storing, analyzing and using large amounts of data within their businesses. Many organizations that I’ve worked with over the years have done a very thorough job […]

Confirmation Bias & Data Analytics

In what might be the best titled article I’ve read in a while, Vince Kellen writes about the dangers of confirmation bias (or ‘finding what we want to find’) when working with big data. The article, titled “Big Data and the Mirror of Erised“, Kellen writes: Being human beings with a tendency to confirm what […]

Secrets to Big Data Success?

Last week I was asked whether there were any ‘secrets’ that companies can follow to ensure success with big data.  My short answer was “Nope.” My longer answer was something along the lines of “there aren’t any secrets, just lots of work and a little bit of luck.’ Most folks don’t like to hear answers […]

IBM’s Four Ways to Innovate using Big Data

I just read through “Four Ways to Innovate Using Big Data and Analytics” over on Forbes. It’s a good read…you should jump over and read it yourself. If you don’t have the time (or just don’t want to), I give my thoughts on these ‘four ways” below. The ‘four ways’ are: The payback on big data […]

Note to Self – Don’t say “Data Driven” Anymore

Jim Harris just wrote a nice piece titled “It’s not about being Data Driven” over on his wonderful Obsessive-Compulsive Data Quality Blog.  If you don’t have Jim’s blog on your radar, you should…he does great work over there. In this recent post, Jim writes about the difference between being ‘data-driven’ and using data to make […]