The Chief Data & Analytics Officer, Winter returns to Miami, Florida for its second year running from February 6-8th, 2018. This event will be an exclusive networking affair, designed to empower the Chief Data and Analytics Officer community. Participants will be able to benchmark with their peers, evaluate best practices in consolidating the evolving data analytics-leadership roadmap and understand case studies around maximizing the potential of your colleagues, processes, infrastructure and software.
4th Annual Data Quality and Consistency in Banking
When: 2018-03-19 — 2018-03-21
This marcus evans event will provide case studies from leading banks who have placed data quality at the centre of their projects to achieve business objectives. Banks will talk through the data governance frameworks, infrastructure and processes needed for these projects to succeed.
Walmart USA, eHarmony USA, Macquarie Group, UNSW, Foxtel, HSBC, Nimble… Once again the Chief Data & Analytics Officer Sydney event has assembled an outstanding speaker line up to address all things data and analytics over three days from 20-21 March 2018. The seniority of the speakers and range of industries represented is unrivalled. With a comprehensive AI Focus Day or Data Governance Day to choose from, followed by the main two-day conference, the event features both small group in-depth learning sessions as well as ample networking opportunities and extended Q&A sessions with keynote speakers to ensure you leave the event with a solid understanding of ‘HOW’ their achievements were accomplished.
7th Edition Risk Data Aggregation and Risk Reporting
When: 2018-04-25 — 2018-04-27
This marcus evans event will give banks insight into what their peers are doing, in addition to guidance from regulators, with a view to completing their projects, and for those more advanced firms, offer guidance on how to derive the maximum value from their projects beyond full compliance. Furthermore it will also take a deep dive into some of the more challenging areas for banks: taxonomy, reconciliation and consistency and data lineage.