Recorded Webinar: Data lineage to drive compliance and as a business imperative26 March 2019
The importance of data lineage has escalated in recent years in response to regulatory demand and increased business understanding of the benefits it can deliver. Like all capital markets technology, data lineage presents both challenges and opportunities, so how best can it be implemented and sustained? And how can your organisation reap the rewards of successful implementation?
This webinar will outline data lineage, its progress towards automation, and why it is so important from both a regulatory and business perspective. It will also provide advice on how to select a solution and step-by-step guidance on how to implement and integrate data lineage. Finally, the webinar will discuss how to manage data lineage to ensure regulatory compliance, deliver business benefits and plan for the future.
Listen to the webinar to find out more about:
- The importance of data lineage in capital markets
- How to select a solution for your organisation
- Approaches to implementation and integration
- How to achieve sustainable regulatory compliance
- The business benefits of successful implementation
More about our speakers:
PO Data Lineage
ABN AMRO Bank N.V
Dr. Irina Steenbeek is a data management practitioner with more than 11 years of experience. The key areas of her professional expertise are the data management maturity assessment, implementation of data management frameworks, and data lineage. Irina has practical experience in software implementation such as ERP and DWH/BI, management consultation, financial and business controls, and data science.
Through the years, she has worked for global institutions as well as large- and medium-sized organizations in different sectors, including but not limited to financial institutions, professional services, and IT companies.
In 2016, she founded Data Crossroads – a training and coaching services enterprise in data management. Data Crossroads focuses on assisting companies in improving their decision-making by setting up an effective data management framework that fits-for-purpose the company business goals and resources.
Irina is a strong believer that the success of data management initiatives is based on the combination of a pragmatic approach and clear and transparent methodology. She has shared her approach and implementation experience by publishing The “Orange” Data Management Framework, The Data Management Toolkit, The Data Management Cookbook, and Data Lineage from a Business Perspective. She is also the author of various white papers and articles on the topic of data management.
Data Quality Leader
Ellen Gentile is the Director of Enterprise Data Quality & DQ Incident Management for the SMBC Americas Division of Sumitomo Mitsui Banking Corporation. Ellen has over 20 years of experience in the financial services sector and has worked in various capacities for companies such as Cowan & Company, Morgan Stanley, Bank of America, Bank of America Securities and Pershing, LLC. As SMBC’s data quality manager, Ellen works assiduously to establish and implement all facets of a comprehensive data quality program at the SMBC Americas division.
CTO Financial Services
Giles is Chief Technology Officer for Financial Services at MarkLogic where he’s responsible for MarkLogic’s technology go-to-market in financial services worldwide.
Giles has had 20 years of experience in the software and financial services industry. He was previously at Software AG where he had global responsibility for its Big Data and Streaming Analytics business. Previous to that he was at Progress Software where he was instrumental in taking its innovative financial services products global. Giles joined Progress when it acquired the event processing and Streaming Analytics vendor Apama, a company he co-founded, which acquired over 150 clients in financial services.
Solutions Engineering Director
Daniel has worked with major investment banks, mutual funds, and online brokerages for over 20 years. He has helped clients design and build high performance and cutting edge database systems and provided guidance on issues including data integration, performance, optimal schema design, security, failover, messaging, and master data management.
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