It's one thing to talk about a particular technology being important to an organization. But the real measure of that importance may just be where the business is investing its IT budget dollars. And that's good news for analytics, business intelligence, predictive capabilities, and all those other categories that have to do with gaining insights from ...
James M. Connolly, Editor of All Analytics, 12/8/2016
The conversation about data privacy continues. Each of those messages that we get from a bank, a retailer, or a website -- the ones that open with, "We have no reason to believe your data was compromised but we did have a breach" -- makes privacy less of a laughing matter.
Meta S. Brown, Business Analytics Consultant, 12/7/2016
A data analyst I know was passed over for a job he really wanted. I wondered why. He was conscientious and patient, and his qualifications seemed appropriate for the role. Then someone clued me in. "He lacks general knowledge," she said.
James M. Connolly, Editor of All Analytics, 12/6/2016
A couple weeks ago, All Analytics hosted a discussion among A2 bloggers about the relationship between data and humans. The consensus was that as we move through 2017, we will see more organizations trying to strike a balance when it comes to utilizing data and experience in decision making.
Given the overhyped promise of data science, the "shock" at the broad failure to predict the election outcome was inevitable. Skimming through the media and technical accounts, it looks like a better understanding of prediction and explanation is necessary for less surprises and sounder analytics.