We often take for granted that the algorithms we have in our applications that help us crunch and analyze data are without any bias.  As if they were constructed in a vacuum.  The reality is much different. In this podcast, recorded a few years ago when we were releasing our book, "The New Marketing Analytics", Dave provides a high-level overview of how managers at all levels need to be aware of potential bias.  People still develop the programming needed to run any kind of algorithm - and that means that there's always the possibility data analysis being skewed because of it.  Not to say that its rampant but - every manager worth their salt need to ask about how bias has been considered and evaluated in any applications they might be thinking of purchasing.  

Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at:

[email protected] 

If your organization hasn't made an effort to govern the vast data it has from one end of the organization to the other, it might be your opportunity to help it along.  Establishing the "rules of the road" in context to how your organizations data is collected, organized, maintained and utilized is a critical step called data governance.  I recorded this soon after publishing "The New Marketing Analytics" and this was actually a YouTube video.  

In this podcast we establish an overview of the how and why data governance is critical to you as a manager.  

Co-author of "The New Marketing Analytics" David Dirks discusses his observations & insights on data & managerial analytics in his short podcast sessions.  You can reach him at:

[email protected]