Free Live Data Education Webinars

Data Ed Online is the the longest running 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

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!  Please let me know if you want the original source files?


Getting Data Quality Right - Success Stories

10 November 2020 19:00 UTC ( 2:pm NYC)

Good data is like good water: best served fresh, and ideally well-filtered. Data management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is “of sufficient quality.” This program provides a useful framework guiding for those approaching data quality challenges. In specific, data quality must be approached as an engineering discipline. Data quality engineering must be approach as a specific ROI-based discipline or it cannot effectively support business strategy. Better understanding of how to do ‘data quality right’ allows for speedy identification of business problems, delineation between structural and practice-oriented defects in data management, and proactive prevention of future issues. Program learning objectives include:
•  Vivid demonstrations of how chronic business challenges
    for organizations are often rooted in broader kinds of data
    quality that suggested treatments can address
•  Helping you to understand foundational data quality
   concepts, guiding principles, best practices, and an
   improved approach data quality at your organization
•  The basis of a number specific case studies illustrating
    the hallmarks and benefits of data quality success

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