Why testing is critical to delivering high-quality analytical and operational data
If you are responsible for delivering high-quality data for analytical and operational purposes, then it’s likely you know all too well the reasons why it’s more challenging today than ever. Your business collects reams of data – and it is constantly flowing through a complex, constantly evolving application and analytics ecosystem. Yet business leaders are putting more demands on you to deliver error-free data that will help them develop new insights to differentiate and grow the business. In this webinar, we’ll share how automated data integrity testing can help you deliver higher-quality data – while eliminating the need to spend hours manually comparing millions of rows.
Join Tricentis and distinguished guest speaker Michele Goetz, VP and Principal Analyst at Forrester, to learn why automated testing should be a key element of your data quality strategy. You will learn about:
- How the increased complexity, volume, and journeys of enterprise data has introduced unique data quality challenges
- Why it’s critical to increase both data testing speed and coverage, and how those imperatives link to DataOps practices
- How an automated approach to data testing across data journeys can help you deliver higher quality data