When I started writing this blog, I made a promise not to turn this into a hardcore data science discussion. I’m not going to break that promise, but today I might bend it a little. Stay with me though, my friend, because I want to pull back the covers on a hidden analytic problem that
I was sitting in a meeting with another manager. She gave her analytic team a set of instructions, some detailed and others somewhat vague. The young analysts across the table nodded and took notes. Then the manager asked the question, “How long will it take you to do this?” Both analysts looked like deer caught
The quality of data is a constraint on every analytic project. As the saying goes – Garbage In, Garbage Out. As part of the planning process for an analysis, you should understand the quality of the available data. In this post, I’ll discuss the characteristics of good data quality, and how your organization can start
5 Proven Steps to Improve Data Quality in Your Organization Read More
Have you ever received results from your analyst and known, immediately, that the information they handed you was wrong? I’m sure one of the first questions you asked was, “Did you check this result?” You knew they didn’t check the results because they were completely implausible. You are not alone, my friend. This scenario plays
The Dirty Secret About Analytic Validation No One Wants to Talk About Read More
One of the biggest challenges that every data-driven organization faces is managing the various analyses the teams develop. If your analysts are scrambling to complete all the work leadership is requesting, or you are having trouble getting consistent and accurate results from the team, there may be problems with your analytic governance model. This post
As we continue to push headlong into more data-driven business models, teams are increasingly expected to become analytic decision-makers. If your team has not historically had a data analytic culture, it can be challenging for them to make the transition to embrace an analytic mindset more fully. In this post, you’ll learn eight (8) ways
Transform Your Team Culture to Data-Driven Decision-Making Read More
Interviewing analysts can be a challenging activity, especially if you are not an analyst yourself. You have probably seen at least a few resumes from young analysts that seem almost too good to be true. Fortunately, my friend, there are several tell-tale signs that the analyst candidate you are interviewing is overstating their skills. Inability
5 Ways to Tell If Your Analyst Candidate Is Overstating Their Skills During an Interview Read More
If you followed my previous suggestion about the discussion you want to have with your analysts at the start of a new project, there is a good chance you are all on the same page. If instead, your analysts have been working on projects you’re not completely aware of, then you are likely to have
7 Things to Ask Your Analyst When They Bring You Analytic Results Read More
It’s a familiar story, and probably one that you know. A manager meets with the analyst team and gives them parameters for a project. “We need to know if our marketing improved sales with our target market.” The analytic team probably had a bunch of questions following a project statement like the one above….and rightly
5 Things You Need to Tell Your Analysts Before They Begin Working on Your Analysis Read More
