An exclusive virtual roundtable for senior data management and IT executives in the ASEAN Region.
Registration is no longer possible.
Virtual Roundtable
Wednesday, September 23rd, 14:00 GMT+8
THE TOPIC
Powering High Impact Business Decisions With Trustable Data
The impact of data on everyday business decision making is highly visible. When data users and employees use low trustworthy data, this severely affects decision making and undermines the outcomes. As such, having a data quality framework and its corresponding metrics, such as trust score, is critical.
When data is transparent, timely, trending, thorough, and telling, enterprises benefit significantly from infusing data into their daily activities.
- How can companies manage their data trust issues?
- Which are some of the best practices to increase data trustworthiness in the customers’ cloud journey?
- How can a robust data quality framework drive trustable data and business outcomes?
Attended by:
CIO at Kellogg Company
Global Head of HR Analytics at ASM
Head of IT at Westpac Institutional Bank
Head of Big Data Analytics Platform at Telekomunikasi
Head of Data & Analytics at QBE Insurance
Head of Digital Engineering & Architecture at Adira Finance
Head of Digital Solutions & IT Business Partner at Roche
Head of Enterprise Data Governance at United Overseas Bank
Head of Data Science & Engineering at Pay Maya
Head of Department at University of Perpetual Help System DALTA
Head of Corporate Information Security at PayMaya Philippines
Head of Strategy & Business Development at Sinar Mas
Deputy Head of Information System at Nutrifood
Director of Digital at Neo Media World
Director of DevOps & Cloud Development at Singtel
Director of Engineering at MyRepublic
VP of Analytics at Ananda Development
1:50 pm: Guests to check-in online
2:00 pm: Welcome by the Ortus Club
2:10 pm: Introduction of participants
2:20 pm: Short address from Talend and AWS
2:30 pm: Discussion instigated by the moderator and continued by the group
3:15 pm: End of session
Hosted by Talend and Amazon Web Services
