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 […]

Building a Data Culture

Many companies want to ‘do’ big data today. They’re spending money on systems, software, consulting, training and other services to be able to capture, process, analyze and use data. Those are all things that need to be done to be up their data science capabilities and skills. Companies need the right platforms, the right systems, […]

Drowning in Data, Starved for Information

In his 1982 book Megatrends, John Naisbitt wrote “We are drowning in information but starved for knowledge.” While written over 30 years ago, that line is as very true today…but I might change it a bit to match the current state of affairs. Today, we are drowning in data and starved for information. Every organization […]

Winning Championships with Big Data?

When I talk to people about big data and data analytics I try to tailor the message to their experience level. For example, if I’m talking to data scientists I’m generally talking at a much different level than if I’m talking to people who have no clue what the term ‘big data’ means. For the […]

Important Skills for the Data Scientist

What are the important skills for a data scientist? Most people would say the most important skills are data related. These skills are important. Extremely important. Without the interest or ability to analyze data, it would be hard to be a data scientist. Many would argue technology skills are important. Data scientists need to be […]

Interactive Analytics – A Tool for Opening Up Your Data

To be successful working with big data, organizations really need to get their data into the hands of the people that know the data the best. In the past, this has been rather difficult to do. Back in the ‘old’ days of business intelligence and data warehouses, many organizations were trying to get their employees […]

The Insurance Industry and Big Data

How would you feel if you got a letter in the mail from your insurance company telling you that your insurance rates have increased due to your social media activity? Maybe they noticed an increase in your conversations about speeding or smoking or something even much more dangerous. How would you feel about getting a […]