Leveraging data analytics for added value
- 1. DataManagementReview.comMarch 8, 2018 FROM Welcome to A-Team Group’s webinar Leveraging data analytics for added value
- 2. DataManagementReview.comMarch 8, 2018 FROM Join the Data Management Review Online Community Data Management Review is your single destination for knowledge and resources covering data management approaches, trends and challenges as well as all the regulations impacting financial data management for the enterprise. Join our 18,000 other members - it’s entirely free to join! Sign up at http://bit.ly/signupforDMR Membership entitles you to free access to expert unbiased commentary. We deliver: Regular weekly updates on the latest news and views Blogs and commentary White papers Surveys and research Data management handbooks Events Webinars Awards
- 3. DataManagementReview.comMarch 8, 2018 FROM A recording of this webinar can be found at http://resource.datamanagementreview.com/webinar-recording-leveraging-data-analytics-mar2018
- 4. DataManagementReview.comMarch 8, 2018 FROM Moderator: Sarah Underwood, Editor, A-Team Group
- 5. DataManagementReview.comMarch 8, 2018 FROM Panel Member: Shailesh Mathankar, Senior Director, Data Management, AIG Areas of Expertise: • Implemented end-to-end data lifecycle management across all data sources within AIG’s legal and compliance functions • Helped establish AIG legal department as industry leader in leveraging data to drive down spend with over $400 million savings in past two years • Led several business analytics initiatives for executive leadership to enable data-driven business decision making using data from internal and external sources
- 6. DataManagementReview.comMarch 8, 2018 FROM Panel Member: Sanjay Saxena, Head of Enterprise Data Governance, Northern Trust Areas of Expertise: • Lead of enterprise data governance for Northern Trust, with expertise in data strategy, data governance and data management • Set up a data management programme for a leading wealth management firm, including creating a data strategy and an implementation roadmap • Led a two year programme to implement data management for this firm • Responsible for delivery and build of an enterprise data warehouse for a leading Canadian retail bank
- 7. DataManagementReview.comMarch 8, 2018 FROM Panel Member: Thomas Kennedy, Head of Analytic Services, Thomson Reuters Areas of Expertise: • Deep expertise in the application of analytics, cloud services and emerging technologies, and a passion for Big Data • Played a critical part in the development of the Thomson Reuters Analytics and Platform business since he joined the company in 2010 • Prior to this, Tom worked at KX Systems and Pie Screening where, as CTO, he was key to the development of the firm’s real-time supply chain platform
- 8. DataManagementReview.comMarch 8, 2018 FROM State of play on data analytics and common use cases The data and data management requirements of analytics Best practice integration, implementation and monitoring Challenges of predictive, real-time and Big Data analytics Added value and beneficial outcomes of implementation Example of an organisation using these types of data analytics Developing additional value for business and operations Advice for data practitioners working on data analytics Talking Points
- 9. DataManagementReview.comMarch 8, 2018 FROM State of play on data analytics and common use cases in financial markets Data analytics can improve: • Decision making • Strategy planning • Customer experience • Product development • Financial crime detection • Operational resilience
- 10. DataManagementReview.comMarch 8, 2018 FROM How to fulfil the data and data management requirements of analytics Data for analytics must be: • Accessible • Aggregated • Complete • High quality • Up to date
- 11. DataManagementReview.comMarch 8, 2018 FROM Integration issues of data analytics and how they can be resolved How to integrate data analytics into business processes
- 12. DataManagementReview.comMarch 8, 2018 FROM Best practice implementation and monitoring to ensure analytics work effectively Data analytics implementation: • Identify key metrics and goals • Evaluate vendor solutions • Run proof of concept • Model all required data • Create dashboards • Deliver business information
- 13. DataManagementReview.comMarch 8, 2018 FROM Analytics development, use cases and challenges of predictive, real-time and Big Data analytics Use cases of predictive analytics: • Regulatory compliance • Improved customer experience • Decreased customer churn • Forward strategy planning • Responsive product development • Optimised profitability with customised product offerings
- 14. DataManagementReview.comMarch 8, 2018 FROM Added value and beneficial outcomes delivered by today’s data analytics Companies that use analytics best are two-times more likely to have top quartile financial performance Source: Actian
- 15. DataManagementReview.comMarch 8, 2018 FROM An organisation using advanced analytics, their aim, practical considerations and outcomes
- 16. DataManagementReview.comMarch 8, 2018 FROM Technology solutions to support data analytics
- 18. DataManagementReview.comMarch 8, 2018 FROM Further developments over the next few years in terms of adoption and technical development Technical developments: • Machine learning • Artificial intelligence • Deep learning • Graph analytics
- 19. DataManagementReview.comMarch 8, 2018 FROM Will data analytics be a driver of winners and losers in financial markets?
- 20. DataManagementReview.comMarch 8, 2018 FROM Advice for data practitioners working on analytics
- 21. DataManagementReview.comMarch 8, 2018 FROM Thank you to our sponsor Contact: Europe.salesenquiries@thomsonreuters.com
- 22. DataManagementReview.comMarch 8, 2018 FROM Data Management Summit, London March 22nd Visit DataManagementReview.com/events CDO (USER) KEYNOTE PANEL: From risk to opportunity: Making data work for your organisation Data management teams are overwhelmed by the sheer volume of change coming from regulation and technology disruption – but how can CDOs bring structure and support change to facilitate growth, create efficiencies and add value? The panel will discuss: • The regulatory outlook: Which regulations are on your radar for 2018 and what impact do you expect these to have on data management processes and principles? Can RegTech help? • How do you make the case for data innovation when data is still seen as a risk from a data quality perspective? • How can the CDO bring about the cultural change necessary to create a data driven culture? • Can we monetise data? Don’t forget to secure your place
- 23. DataManagementReview.comMarch 8, 2018 FROM Upcoming A-Team Group Webinars Visit webinar section of Datamanagementreview.com April 19th – MiFID II revisited April 24th – The countdown to GDPR May 1st – How to optimise client onboarding, Know your Customer and ultimate beneficial ownership data
- 24. DataManagementReview.comMarch 8, 2018 FROM A-Team Group Handbook Series Visit the handbooks section of Datamanagementreview.com