Financial institutions are under pressure to maximise the insight they can derive from their data. With data spread across multiple silos and stored in both structured and unstructured formats, embedding analytics into business processes can be difficult and calls for new approaches to data management. Open source database and data processing technologies, as well as machine learning techniques including Natural Language Processing (NLP), provide new approaches to advanced analytics. Metadata management, knowledge graphs, data discovery, quality metrics and data visualisation tools are also useful for adding context to data and providing insight, although winning buy in and business ownership for new tools is an ongoing challenge. Managing data privacy, content license restrictions and security is a critical concern when using data for analytics, and must be addressed in the early stages of any analytics project. This webinar will discuss data science and how it is driving new approaches and solutions to business analytics. Listen to the webinar to find out: -The role of the data scientist in analytics -How to add data sources into workflows -How to integrate quality data with analytics -How to gain insight from data -How to manage data privacy and security -Necessary tools, technologies and techniques

1. Welcome to A-Team Group’s webinar
Data Science and Analytics
New approaches and capabilities for
driving business analytics

2. A recording of this webinar can be found at
https://a-teaminsight.com/webinars/data-science-
analytics-using-new-tools-to-help-drive-business-
driven-analytics-the-role-of-metadata-strategy-
knowledge-graphs-data-catalogs-and-
more/?brand=ati

3. https://a-teaminsight.com/sign-up

4. Moderator:
Sarah Underwood, Editor, A-Team Group

5. Panel Member: Arijit Bhattacharya, Executive Director,
Analytics, UBS
Areas of Expertise:
• Data Mastering and Architecture
• Market Data
• Research and Risk Data
• Data Analytics

6. Panel Member: Stef Nielen, Director of Strategic Business
Development, Asset Control
Areas of Expertise:
• Educated in both computer science and strategic business
management
• An early mover in the Fintech industry at companies such as
RiskMetrics, MSCI and Axioma
• Latest developments in quant driven business analytics in
computer and data science and how fintech firms are
strategically applying this to their advantage
• Researching how AI driven analytics can add most value to
Asset Control’s market data management solution

7. Panel Member: James Corcoran, Chief Technology Officer,
Enterprise Solutions, Kx Systems
Areas of Expertise:
• Electronic trading technology
• Transaction cost analysis
• Trade surveillance
• Regulatory reporting
• Streaming analytics and timeseries databases
• High performance computing

8. ● A definition of data science and the role of the data scientist in analytics
● Steps firms can take to develop data analytics and provide insight for the business
● How to add new and different data sources into workflows to bolster analytics
● How to integrate data quality with analytics to provide optimum outcomes
● Relevant technologies including machine learning and open source tools
● How business and data science teams can win buy-in for analytics solutions
● How to manage data privacy and security, and content license restrictions
● Advice for data management practitioners working on analytics for the business
Talking Points

9. A definition of data science and the role of the data scientist in
business analytics

10. Steps firms can take to develop data analytics that provide insight
for the business

12. How to add new data sources into workflows to bolster analytics

13. How to ensure integration of quality data with analytics to
provide optimum outcomes

14. Potential solutions based on machine learning and Natural
Language Processing (NLP), and open source database and data
processing technologies

15. Additional tools and techniques that can be used to support
business analytics

16. How business and data science teams can win management
buy-in for analytics solutions

17. How to manage data privacy and security, as well as content
license restrictions when data is used for analytics

18. Advice for data management practitioners working on analytics

19. Thank you to our sponsors
James Corcoran, jcorcoran@kx.cominfo@asset-control.com
+44 (0)20 7743 0320

21. Upcoming A-Team Group Webinars
Visit webinar section of
DataManagementInsight.com
3rd Dec – Managing unstructured data and extracting value
19th Jan – Data management for analytics and market
surveillance