Why Test Data Management (TDM) is Important

Why Test Data Management (TDM) is Important

Banks and Financial institutions need to deliver better quality software to the business faster and at less cost. No bank can afford the time, the cost or the risk of employing an army of manual testers. They need to be able to respond to changing requirements by provisioning fit for purpose test data to the right place at the right time to accelerate and improve test cycles.

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Using synthetic data in banking and financial services

Using synthetic data in banking and financial services

Can you imagine being able to mine every bit of value possible from your datasets? If not, it’s because the privacy fears and data leaks risks put decision makers in financial sector in a fake dilemma: Protecting the privacy of your customers and keeping their sensitive data secure or getting agile through privacy innovation? Is there a way to get the best of both sides without sacrificing on privacy and security?

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Next-gen, AI-powered Data Engineering with ConnectIQ

Next-gen, AI-powered Data Engineering with ConnectIQ

Data is a strategic asset for most organizations for many business-related initiatives, such as growing revenues, improving the customer experience, operating efficiently or improving a product or service based on customer feedback. However, organizations find it extremely difficult and complex to access and manage their data and unlock their value.

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Why use synthetic data vs real data

Why use synthetic data vs real data

We imagine a world in which business users can access the data they need without worrying about where its is stored, how it is formatted or how it is changing. We constantly innovate in the fields of data integration, data management and data automation.
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Banks Busted by a Software Glitch during 2021

Banks Busted by a Software Glitch during 2021

During 2021, many banks got into the headlines because of software malfunctions that caused serious inconveniences to their customers. A phenomenally simple software error can affect the life of millions of people in the most direct and negative way. It is estimated that software failures cost the enterprise software market approximately $61B annually, and over 620 million developer hours a year, are wasted on debugging software failures.

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