Free Live Data Education Webinars

Data Ed Online is the the longest running (10 years and counting) live webinar dedicated to data management topics

At least it is free?  Seriously we have been doing this since 2012 and are ever perfecting the format based around a 60-minute lecture, followed by a
30 minute Q & A.

Data Ed Online is my monthly data management webinar that focuses on how to unlock business value through foundational data management practices and techniques.

All webinars consist of a 60-minute presentation, followed by a 30-minute interactive Q&A session - come join us!

Produced in conjunction with our long time partners at Dataversity who have the finest collection of data management educational resources on the web.

Yes - all registrants will recieve a link to the recording a couple of days after each event

Dataversity sends a link to the slides within two business days after the webinar.  You are always welcome to repurpose my slides with attribution! Many of them originated with you in the first place.  Please let me know if you want the original source files?

Necessary Prerequisites to Data Success: 
Exorcising the Seven Deadly Data Sins

9 November 2021 19:00 UTC (2:pm NYC)

Far more organizations attempt to do more with data than succeed. Understanding common prerequisites to unrestricted data practices will help you determine the extent of these challenges in your organization and increase your chances of success.  Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data. This webinar will discuss these barriers—aka the “Seven Deadly Data
Sins”—and in the process will also:

•  Elaborate upon the three critical factors that lead to strategy failure
•  Demonstrate a two-stage data strategy implementation process
•  Explore the sources and rationales behind the “Seven Deadly Data Sins,”
    and recommend solutions

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