Leveraging Standards and Technology to Drive the Business into the Future

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Interested in demonstrating thought leadership as Chairperson? To find out how to chair FIMA, contact meg.mcneel@wbresearch.com

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Cost and scaleability of the cloud continue to make it an attractive prospect, though many are blinded by the risks. With risk management being at the heart of all data management programs and high costs of data management being an ongoing battle, how are decisions made around the cloud, which is both low cost and high risk? How can you leverage cloud technology while managing risk? How can the finance industry take lessons learned from retail and accelerate the deployment of a pure cloud environment? What happens when you’re locked into infrastructure with one company?
This debate will address:
• Priority of lower cost of ownership
• Appetite for risk versus cost
• Putting critical data on a public cloud
• The safety, predictability, yet limitations of a private cloud
• The safety and interoperability of a hybrid cloud
• Infrastructure with one provider and portability

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Regulatory catalysts are driving financial institutions to make significant advances in infrastructure on a global scale. Requirements for LEI are quickly growing, particularly where financial institutions are preparing for MiFID II, though many jurisdictions only request LEI. What can be done to make rule-making consistent? What are some of the business drivers to do so?
Panelists will discuss:
• The state of the industry’s adoption of LEI
• Which areas financial institutions must focus on
• Benefits that have been realized as the LEI as become more broadly adopted

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Despite G-SIBS and many other financial institutions’ deep data governance work, data quality still remains the holy grail. With demand for data analytics being at an all-time high, data quality is of greater importance than ever before. The Office of Financial Research is working toward improved data quality through collaborative standards initiatives with both regulators and industry.
Find out:
• The advantages of reaching consensus through a public/private approach
• The latest advances in standards development
• How to get involved as a key collaborator

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If you’re here, the chances are, you’re bought into data management, but you might have some convincing ahead. What’s stopping you from mainstreaming and implementing data governance? How can you overcome common roadblocks to adoption so you’re not swimming upstream when it comes to data clean up? Since 2005, the EDM Council has been deeply involved supporting data management organizations across the finance industry. In this point/counterpoint, find out how to overcome common roadblocks, including:
• Organizational red tape
• Becoming a priority for executive leadership
• Implementation challenges
• Overcoming business problems versus reality

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Learn how Vanguard uses its award winning Enterprise Data Identification and Tracking (EDIT) system to support its Data Governance Program creating the foundation for both data management and privacy. Hear how Joel Lutz, Head of Enterprise Data Governance and Privacy Department at Vanguard, leads a team that created the IAPP HPE Innovation Award Winning data management system to:
• Establish enterprise data controls in the SDLC process to sustain the enterprise data dictionary, mapping, and lineage
• Enable data privacy compliance; and,
• Create a scalable platform to seamlessly adopt new data control requirements.

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Data breaches continue to make headlines at alarming rates, and the rate of change will not slow down for new global data privacy issues. Beyond that, there are also issues of privacy internally and permissions around how has access to what data. What is the CDOs role in relation to access management, privacy and cyber security? How is governance impacted by regulations that on the surface appear to be privacy and protection? Data management and privacy/security executives will discuss:
• How roles are being defined and how data management is partnering with other service providers internally
• How governance helps to attain principles of privacy protection
• The data lifecycle and registrants, controls, checks and balances and distribution of information
• Where goals intersect and how the functions work together

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The FIBO early adopter program kicked off in July 2016 and it’s become clear that the standards of FIBO will help against the problems of silos within silos. Financial institutions need to be able to curate, link and aggregate data to see risks in portfolios, counterparties and systemic risks across the financial system. FIBO can help to address a number of items required by BCBS 239 in terms of understanding data and it has global reach beyond US regulations. Recent developments in FIBO both domestically and globally are looking promising to further safeguard the investment environment.
Find out:
• Latest lessons learned in FIBO adoption and integration
• How FIBO and Blockchain can solve the problem of systemic risk in finance
• Successes and outcomes of proof of concepts

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Financial markets trending towards increased global integration, regulatory standardization, and resiliency; Exploding data and information volumes, velocity, capacity and analytics; Technology advances including cloud computing, Blockchain, IoT, maching learning. While the topics at a glance seem far removed from the ongoing demands of data lineage, data quality and regulatory requirements, data sits beneath each of these. What is going to have to change from a data perspective to take advantage of these opportunities to grow the business? How can data management support a broad range of product offerings to meet the demands of the changing customer?
Industry leaders will discuss:
• What transformations in data management techniques and frameworks will be necessary to respond to future demands and challenges
• Which information management and application technology innovations are likely and that we should anticipate
• On the horizon: implications for the connected person, data architecture, CX , regulation, data quality and governance
• How to approach the planning and preparation to assess the suitability, value and potential integration of new technologies, applications, and data management capabilities

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