Presented by
Amitai Richman, Product Marketing Director, K2view & Daniel Howard, Senior Analyst, Bloor Research
Test Data Management: Separating Fact from Fiction
About this talk
Ready to separate fact from fiction in Test Data Management?
Join Daniel Howard, Sr. Analyst @ Bloor Research, and Amitai Richman, Dir. Product Marketing @ K2view, as they dispel persistent TDM myths in an eye-opening webinar, "Test Data Management: Separating Fact from Fiction."
We'll cut through the noise and equip you with actionable knowledge to overcome test data challenges like lengthy and error-prone test data provisioning, low test coverage, and compliance risks.
• Uncover the hidden bottlenecks that sabotage your release cycles
• Unlock the ROI of modern TDM with our calculation guide
• Uncover the truth about 'self-service' TDM – and how to truly slash test data setup time by 70%
• Discover if synthetic data can replace traditional TDM
Plus, get a sneak peek at the future of TDM and the trends shaping the industry.
Don’t miss this opportunity - register now to secure your spot.
Even if you can’t attend live, we’ll send you the recording afterward.
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At K2View, we believe that every company should be able to liberate and elevate its data to deliver the most personalized and profitable customer experience in its industry, while being innovative and radically agile.
With K2View, companies manage data in a whole new way, using a business lens: they create data products that continually sync, transform, and serve data from siloed source systems – delivering a real-time, holistic view of any business entity to any data consumer.
Our Data Product Platform fuels operational and analytical workloads, at enterprise scale. It deploys as a data fabric, data mesh, or data hub - in an on-premises, cloud, or a hybrid architecture - in a matter of weeks, and adapts to change on the fly.
The most data-intensive companies in the world, including AT&T, Verizon, American Express, Vodafone, and Hertz trust K2View Data Product Platform for their operational use cases - spanning Customer 360, cloud migration, test data management, data tokenization, and legacy application modernization.