Tricentis - Fixing the Massive Challenge of Bad Data
Common Sense Virtual Roundtable:

Fixing the Massive Challenge of Bad Data

April 28th, 2022, 1 PM – 2 PM CT, Successfully held

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Here’s what we discussed:

Digital transformation demands speed, but bad data kills speed. Gartner estimates the average US company loses $15million/year because of bad data. Finding and fixing the root causes of bad data generated from dozens of sources and moved through hundreds of applications should be a strategic imperative for all enterprises. Why isn’t it?

In this session we discussed how some enterprises are tackling their data integrity challenges with new approaches to test automation. Some questions we addressed include:
  • How have companies graduated from “stare & compare” to automation?
  • How have companies overcome cultural inertia and resistance?
  • What expectations should you have about time-to-value?

Solution Expert

Curtis O'Dell
Global Product Business Manager at Tricentis

Here is what we learned:

Ashish Bhatnagar, Chief Data Officer, HSBC

Bhatnagar thinks the problem of bad data quality is very widespread. The basic question is defining what data is or differentiating it from metadata. To make valid comparisons, it is necessary to make sure the information is apples to apples.

Warren Park, Chief Data & Analytics Officer, US Wholesale Banking, HSBC

Park said without a good foundation, bad data is inevitable. His goal as an analytics officer is to get the right data where it belongs as quickly as possible.

For HSBC, the domestic US data is not usually the problem. It is trying to integrate all the data across the global bank system that creates the problem because so much of it is siloed. There are different protocols in each country for handling data and they often do not agree on things as fundamental as how often a batch is generated.

Request detailed session notes

We are careful about who we send this key document to. The session notes will be sent based on the request, provided your profile matches our qualification criteria.

About Tricentis:

Tricentis is the global leader in enterprise continuous testing, widely credited for reinventing software testing for DevOps, cloud, and enterprise applications. The Tricentis AI-based, continuous testing platform provides a new and fundamentally different way to perform software testing. An approach that’s automated, low-code, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Tricentis has been widely recognized as the leader by all major industry analysts, including being named the leader in Gartner’s Magic Quadrant five years in a row. Tricentis has more than 1,800 customers, including the largest brands in the world, such as Accenture, Dolby, Nationwide Insurance, Allianz, Telstra, McKesson, and Vodafone. To learn more, visit

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