2024 Calendar
TechTalk Daily
Virtual Events
Webinars

Preventing Data Downtime with Effective Data Governance, Data Observability, and Data Quality Strategies

On demand

Sponsored by

Speakers
  • Speaker Ken Beutler Senior Director, Product Management, Precisely

    Ken is the Senior Director of Product Management and responsible for the Data Governance product line at Precisely. He has 20 years of experience in data integration, data quality, data governance, and data connectivity markets.

  • Speaker Scott Arnett Senior Director, Product Management, Precisely

    Scott Arnett is Sr Director of Product Management at Precisely. Scott focuses on bringing data quality capabilities to the cloud within Precisely’s Data Integrity Suite. For over 25 years Scott has worked in a variety of roles to help customers solve complex data issues. Scott has specialized expertise in data quality solutions and the capabilities of address quality, integration and master data management. Scott is a graduate of the University of Pacific School of Business and currently resides in San Jose, CA.

Preventing Data Downtime with Effective Data Governance, Data Observability, and Data Quality Strategies

Wednesday October 4th I 4:00PM ET

 

Data downtime is a significant challenge faced by organizations of all sizes and from all industries, resulting in lost revenue, missed opportunities, and reduced customer satisfaction. In this session, we explore how you can prevent data downtime by combining a business-first approach to data governance with data observability and data quality programs.

 

Watch this on-demand session to learn:

  • How to implement a data governance strategy that aligns with your organization’s goals, priorities, and values, ensuring that your data is used effectively and efficiently
  • Modern approaches to data quality, including the use of data observability techniques to diagnose data issues before they become significant problems
  • How data governance initiatives, complemented by modern approaches to data quality and data observability, ensure data integrity and confidence in your decisions 
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