Session Outline There are many patterns on building a perfect fit data architecture on a cloud environment. In this session, I will talk about some of the most popular architecture patterns, how each pattern solves can...
Category - Data 2030 Summit APAC 2022
IT Enterprise Architecture view on cloud strategy – Harini Gorla, Philips
Session Outline Covid has taught us one thing, that is “It’s time to be really Digital”. In the race to become digital and migrate to the cloud, companies need to be aligned rather than working in silos. EA...
Data Quality – Why and How – Raghavendra V, Eli Lilly India Pvt Ltd
Session Outline In this session, I will cover why data quality is a very important part of modern Data Management and how an organization can implement effective data quality program for the critical data elements. Key...
Data Quality – How to make the journey from Aspiration to Realization – Ronak Jani, Philip Morris International
Session Outline Even though the competence of Data Quality has been around for over a decade now – why does it continue to stay nascent and aspirational rather than a reality with tangible value for a lot of...
Managing Data Quality in Big Data – Jyotirmay Mishra, GSK
Session Outline Overview on MDM and Data Quality framework. Importance of Data Quality to an Organization. Data Quality in Big Data platform. Key Takeaways Data Quality overviewsData Quality importance in Enterprise...
Baking Data Quality into your Data Practices – Tan Wei Hao, AXA Insurance Pte Ltd
Session Outline For companies starting on their data management journey, it can be daunting to figure out which area to prioritise for quick wins and obtain management buy-in. Data Quality initiatives present an...
The importance of data strategy and how to achieve it – Mr. Runganan Wankundee, ek-chai distribution system co. ltd
Key Takeaways
The importance of data strategyData strategy goalsHow to achieve it
Responsible AI impact on data strategy & governance – Yannick Even, Swiss Re
Session Outline Integration of Responsible AI principles, such as FEAT, into existing corporate data governance frameworks – illustrated by MAS FEAT and Swiss Re fairness & transparency experience Data strategy to...
