Join us for this webinar and learn how Neo4j and ICC Technology can help you remove risk from your data governance by improving the way you approach data lineage. We’ll cover some of the common approaches, driving regulations and biggest risks for banks and finances services.
- Find out how Data Lineage is becoming more complex for Banks and Financial Services companies
- Learn how a native-graph model can improve tracing data sources to targets as well as store transformations.
- Watch a demonstration on how you might approach regulations such as BCBS 239
At the end of this session, you’ll understand why the Neo4j database and ICC advanced analytics services are such an ideal option for organizations trying to optimize data risk and compliance. We’ll also quickly cover what’s behind the rapid uptake of graph technologies and why Neo4j is the #1 graph database with over 200 customers that include Walmart, UBS, Cisco, HP,
Nav Mathur is responsible for solutions development and Go To Market activities for Solutions. Nav is seasoned in business development and brings over 20+ years of experience in consulting focused on Strategy, Planning and Transformational Business & IT Solutions. Previously, Nav was at Wipro heading sales for the Enterprise Architecture practice across North America. He was also in a similar role at TCS previously. Nav also had a long stint at Cambridge Technology Partners starting as a developer and eventually leading the North America Architecture Practice. Nav has a Masters degree in Software Engineering from Boston University and a Bachelors degree in Computer Engineering. He has also completed an executive management course from Babson College.
Lee Hong is a Senior Data Scientist at ICC in the Advanced Analytics Practice, which is responsible for delivering predictive analytics and insights across a range of industry verticals. He holds a PhD in Kinesiology from The Pennsylvania State University and is a former Neuroscience professor and researcher.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.