Strategic Data Quality - Your Best Alternative to Failing at Perfection

Every organization has more data now than they did 5 years ago. All companies have limited resources with which to manage and improve the quality of that data. Why then, do so many insist on an all-or-nothing view on data quality? Is insisting on data perfection, and then failing, the only way to approach data quality? Of course not!

Data is never going to be perfect. It’s always going to be somewhat abstracted from truth. Whether it’s another decimal point of precision, faster sampling, or more attributes, our data can always be better. The primary question shouldn’t be “how good is our data quality” but instead we should be asking “how useful is our data?” We should be thinking about the limited resources we have, and where investments in improving data quality will be most beneficial.

This session will go into more detail to build the case for "strategic data quality" and cover the following:

The role of strategic data quality in business activities and decisions
The concept of data sufficiency, and why too high data quality can also be problematic
Where technology and data intersect, and why now is a historic inflection point
Why getting this right may be the most important thing your business does in the next few years
How to get started with strategic data quality

Anthony J. Algmin helps businesses use data to get better at what they do. He is currently the Chief Data Architect at Uturn Data Solutions, a company specializing in helping businesses move to the cloud. Learn more at www.uturndatasolutions.com. Previously, Anthony was the Chicago Transit Authority's first Chief Data Officer, developing data analytics capabilities to help the CTA improve transit services for millions of Chicagoans. Anthony also spent several years as a data strategy and management consultant with experience across many industries. His early career was in the capital markets industry performing technical and management roles to improve business performance with data and analytics. Anthony frequently speaks at national and local events, and contributes to the data governance and data management communities. He has a BA in Business Administration from Illinois Wesleyan University and an MBA from the Kellogg School of Management at Northwestern University.