Transforming Information Into Knowledge
Transforming Information Into Knowledge
A recent presentation by Adrian Sanabria inspired me to look at the community of information security professionals. Analyzing a community can provide insights into workforce development initiatives and for marketers’ communication to their audiences. As someone who surveys B2B technology markets, this subject is important […]
It was 1997. I was an intern in the Secretary of Commerce’s office and was asked to write bullet points about the Internet that would promote administration policies to foster the ecommerce economy. I clearly remember including IT market size and impact estimates from Gartner […]
After reading my recent blog for Evolved Media, The Top Four Reasons Modern Marketers Can’t Live Without IT Research, my wife the advertising executive asked if I was talking about CMOs in general or specifically specifically about marketers at B2B tech companies. I was forced to admit that […]
Technology research is available from a spectrum of firms, both large and small. The three institutional players – Gartner, Forrester, and IDC – offer different benefits than boutique firms. Regardless of where marketers look for research, they rely upon it for 1) third-party validation, 2) leads, 3) customer insight, and 4) building trust.
Bill Franks knew what he was talking about at last December’s Data Skeptic’s Meetup. I recommend him as a speaker. In his job at Teradata, I can easily see him successfully introducing robust new analytic projects to Teradata’s legacy data warehouse clients. While Franks had to cover […]
Eight years ago I did a self-directed study about B2B market research. The reading served me well as I managed a series of studies on enterprise IT markets. As I go through my notes, here are some of the highlights from Business To Business Market Research by […]
I was fascinated with the chart that shows how often self-identified data scientists with different skill sets work with different scales of data. It is notable that most data scientists weren’t using big data (see the chart below). I assume that in 2015 a much larger percentage of data scientists are working on a terabyte or petabyte scale.
UPDATE: After talking to Mr. Hammond, I realized the main use case I was envisioning isn’t what he’s focusing on. He is focusing on a final product that is a complete news article, like about a baseball game or an earnings announcement. ORIGINAL POST: I […]
I just heard DJ Patel, the guy who created LinkedIn’s data team talk about creating data science teams. Besides mentioning Python in passing, he didn’t talk about software skills or statistics competency. Instead, he said being a creative problem solver was the most important prerequisite. Here […]
One of the benefits of Big Data analytics is that it incorporates previously unmanageable data with existing customer information located in data warehouses. James Kobielus of Forrester didn’t spend time going into the intricacies of the data management, but did talk about how it is […]
I’m going to ignore my problems with the term “data scientists” and focus on the actual topic. This is going to be the first of several posts on the subject. Cathy O’Neil of Intent Media talked about hiring data scientists at today’s Strata Summit. To […]
As someone who works at a company that conducts surveys, I know that collecting more information is pointless if you don’t have the capabilities to analyze it effectively. If people don’t take this conclusion to heart, they will be deeply disappointed by whatever “big data” […]