Eckerson Thought Leadership Report

Analytics and Data Governance in the Age of Machine Learning

By Kevin Petrie

The rise of machine learning (ML) offers both risks and rewards. ML models might automate bad decisions, breach privacy, or exhibit bias, which in turn disrupts operations, alienates customers, or invites regulatory scrutiny. Enterprises must control these risks to achieve the intended rewards: efficiency, innovation, and happy customers.

This requires a new level of vigilance. Data governance teams must enhance their policies, standards, and processes to oversee the lifecycle for building and operating ML models. They must collaborate with data science teams to manage data access, data quality, and metadata for ML projects. They must govern the ML models themselves with careful monitoring and control of their accuracy, compliance posture, and suitability for production operations. Perhaps most important is the need for ethical handling of data.

This report defines the requirements, challenges, use cases, and benefits of analytics and data governance in the age of ML. It explores the supporting architecture and recommends guiding principles to help enterprises realize the rewards of ML while minimizing its risks.

 

Readers Will Learn:

  • How analytics and data governance relate to ML projects

  • Why enterprises need to adapt their governance programs for ML

  • How they can adapt their architectures to support these new requirements

 

Sponsor Benefits

  • PDF Report - You receive a PDF of the report with your custom branding, if desired, that you can print, publish to your Web site, or syndicate with a third party.

  • Custom Branding - Eckerson Group will create a custom cover page with your logo and a custom back page with 250-word company, product, or customer description.

  • Unlimited Rights - You receive unlimited, perpetual distribution rights to the report.

  • Content Review - Ability to fact check the report prior to publication with adherence deadlines.

  • EG Promotion - Eckerson Group promotes the report to its database of data analytics leaders via its Website, newsletters, social media (LinkedIn and Twitter) and through syndication partners.

  • Discounts - Exclusive discounts on option custom add-on content.

About the Author

Kevin Petrie

Kevin's passion is to decipher what technology means to business leaders and practitioners. He has invested 25 years in technology, as an industry analyst, writer, instructor, product marketer, and services leader. A frequent public speaker and accomplished writer, Kevin has a decade of experience in data management and analytics. He launched, built and led a profitable data services team for EMC Pivotal in the Americas and EMEA, implementing data warehouse and data lake platforms for Fortune 2000 enterprises. More recently he ran field training at the data integration software provider Attunity, now part of Qlik.

Kevin has co-authored two books, Streaming Change Data Capture: A Foundation for Modern Data Architectures, OReilly 2018, and Apache Kafka Transaction Data Streaming for Dummies, Wiley 2019. He also serves as data management instructor at eLearningCurve. Kevin has a B.A. from Bowdoin College and MBA from the University of California at Berkeley. A bookworm and outdoor fitness nut, Kevin enjoys kayaking, mountain biking and skiing with his wife and three boys.