The case study will focus on the approach to drive an organization wide data quality uplift initiative with clearly defined objectives, to enable appropriate rule coverage, right DQ checks, mastering of DQ rules, automated analogy detection, automated DQ issue remediation, centralized monitoring and a collaborative accountability.
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Speaker
Hardik Chawda
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talks
A technical leader and full stack developer with 14+ years of experience in major investment banks delivering wide range of solutions in various software technologies and problem domains. He has developed and designed innovative solution to deliver value for the business domains like risk and controls, financial reporting, process automation, data management and data quality. Currently leads the technology platform for the data quality in HSBC responsibly for delivering end to end solution for centralized data quality monitoring.
He is passionate about delivering innovative and high-quality software while driving continuous improvement. Hardik is a graduate in Computer Engineering from VIT University, Vellore.
Bio from: gartner-data-analytics-india-2025
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