Data Pyramid and Importance of Data Quality

Data life cycle

Data information life cycle

Data quality in nutshell with industry regulations

Data quality audits with BCBS239

Key Takeaways

• PACT – dimensions of data quality are critical to enabling effective MDM.
• Focus on continuous data management and improvement as key to data quality strategy.
• Orchestration, harmonizing and synchronising multiple data items is extremely important while creating business objects.
• MDM typically delivers a “hub” infrastructure to source and distribute master data and governance is important for data quality

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Bio

Dr Anuradha Bhatia, Executive Director & Distinguished Engineer | Standard Chartered Bank | India

Anuradha is an accomplished professional as a distinguished engineer, career in software engineering and education for more than twenty years and has made meaningful contributions in several technologies – Data Science and Analytics, Data strategy and governance, Blockchain, Artificial Intelligence (AI), Machine Learning (ML) and Cyber security, in particular. She is a technology enabler with focus on data quality and designing smart and easy solutions to large problems. She has also authored a book titled “Capturing and Tracking Images and Videos on Live Streaming”, published by Scholar’s Press European Union. A techno creative coach, “saltnpepper” artist, author, speaker, orator, mentor, youtuber (technology) enlightening minds in the technology domain. Current work focuses on working with satellite images to predict the land mapping from past 15 years Landsat data.

Presently, Executive Director & Distinguished Engineer (Data, AI/ML), with focus on Data Strategy, Architecture, Security, Governance, Data Analytics, WEB3 and Metaverse.