Last updated: April 2026 Garbage in, garbage out. That principle has not changed since the earliest days of computing, and it applies just as directly to your website data today as it ever did to enterprise databases. High confidence in your data is not a passive outcome. It is something you build deliberately, through quality […]
High Confidence in your Data Demands High Quality Data Read More »
Last updated: April 2026 Good decisions are not about confidence. They are about calibration. Nobel laureate Daniel Kahneman spent decades studying how experts make decisions, and his conclusion was humbling: even experienced professionals are overconfident and inconsistent. They rely on pattern recognition and intuition when the situation calls for data and structure. As we explored
Making Smarter Digital Marketing Decisions Read More »
Always trust your numbers. Never trust your gut. … Daniel Kahneman, Nobel Laureate in Economics Last updated: April 2026 Nobel laureate Daniel Kahneman told us that experts tend to be overconfident and make predictions without enough information. They are also inconsistent decision-makers. His prescription: trust your numbers over your instincts. Good advice. But there is
Trust Your Numbers but First Make Sure They Are Worth Trusting Read More »
A Disproportion of Theory to Knowledge Means Speculation and Guessing Thinking of the missing Malaysian Airlines flight MH370, it certainly is true. Much speculation but few facts. I waited more than two weeks to make this post, first hoping that there would be a happy conclusion to the disappearance, and then hoping simply for some
The Disproportion of Theory to Knowledge Read More »
These four complicating factors will challenge even the best decision-makers What are these complicating factors, and what should you do about them? Way back in October, I examined the Harvard Business Review (HBR) article “Deciding How to Decide” on page 63 of the November 2013 issue, written by Hugh Courtney, Dan Lovallo, and Carmina Clarke. Look at
Complicating Factors Read More »
Have you Prepared your Data Quality Baseline? Has your organization planned a data quality initiative for 2014? If so, have you prepared your 2013 data quality baseline? Data quality initiatives are great if they produce measurable results. How do you measure the results of a data quality initiative? By preparing a data quality baseline before
Data Quality Baseline Read More »
As the consulting industry changes will you be the disrupter, not the disrupted? Will you be the disrupter, not the disrupted? This is the question that came to mind as I read Consulting on the Cusp of Disruption, by Clayton M. Christensen, Dina Wang, and Derek van Bever, in the October 2013 issue of the
Be the Disrupter, not the Disrupted Read More »
Did Business and IT Executives see the causes of poor data quality the same way? Our survey investigating the causes of poor data quality leading to negative business outcomes has been in flight for four weeks now. You can read about our first survey insights here, and the survey launch here. I’m running this survey
Causes of Poor Data Quality – Business and IT Perspectives Read More »
Customer-Related Data Quality Pain in Early Survey Results We have an early yet strong indication of customer-related data quality issues across the full size range of organizations responding to our Poor Data Quality Survey. While there are many other areas of inquiry within our survey, I’ve selected customer data quality for this review because of its
Customer-Related Data Quality Issues Cause Pain Read More »
Have the results of decision-making bias ever come back to bite you? Decision-making bias exists and is challenging to eliminate! In my last post, I discussed the thesis put forward by Nobel Laureate Daniel Kahneman and co-authors Dan Lovallo, and Olivier Sibony in their June 2011 Harvard Business Review (HBR) article entitled “Before You Make
Decision-making Bias – What, me worry? Read More »
