Tutorials - October 5, 2017

Thursday
October 5
7:45-4:30
Registration
Thursday
October 5
7:45-9:00
Continental Breakfast
8:45 - 11:30 MORNING TUTORIALS
Thursday
October 5
8:45-11:30

 

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T1: Successful Data Stewardship in Financial Services 
David Plotkin, Director of Metadata Services, MUFG

More and more companies in financial services are coming to terms with the fact that they need to have a data stewardship function in order to be effective in collecting metadata (including definitions, derivations, and data quality rules), MDM, and data quality. A lot has been said and spoken about why stewardship is important, but HOW do you do it and be effective with limited resources (in the “real world”)? This presentation details how a to set up a data stewardship in the financial sector,  how to run it, the details of managing the stewardship committee, recruiting help from IT for technical stewards, what the duties of the data stewards are, and what decisions they have to make. In addition, it covers how to staff projects for stewardship and funnel the information from projects back into the overall stewardship process.

You will learn:

  • The relationship between governance and stewardship
  • How to build a governance and stewardship organization in financial services
  • How to recruit stewards
  • What the steward’s responsibilities are
  • What the stewardship processes looks like
  • How to break up responsibilities by functional area
  • Resources you can use to minimize endless meetings
  • What the decision process is
  • The use of stewards for projects
  • What and how to document decisions

Level of Audience:
Introductory

Speaker:
David Plotkin David Plotkin
Director of Metadata Services
MUFG

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Thursday
October 5
8:45-11:30

 

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T2: Data Governance in a Box for DFAST and CCAR Compliance  
Sunil Soares, Founder and Managing Partner, Information Asset

This tutorial will review an end-to-end approach to operationalize data governance for DFAST and CCAR compliance.

Topics include:

  • The Regulatory Imperative to Data Governance
  • Data Governance Framework
  • Data Governance Playbook
  • Data Categories
  • Data Ownership
  • Critical Data Elements
  • Metadata Management
  • Data Quality Management
  • Model Governance
  • End User Computing
  • Dashboards and Data Audits

Level of Audience:
Intermediate

Speaker:
Sunil Soares Sunil Soares
Founder and Managing Partner
Information Asset

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Thursday
October 5
8:45-11:30

 

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T3: Successful Data Governance for Data Lakes in Finance  
Malcolm Chisholm, Chief Innovator Officer, First San Francisco Partners


Data Lakes are becoming increasingly common in financial services companies, and they present a new level of challenges for Data Governance. Data Governance is essential for the success of a Data Lake, but must overcome a number of challenges. For instance, financial services companies have to a wide diversity of data that must be cataloged within the Data Lake, and must protect private and confidential data. This tutorial describes the tasks that a Data Governance function must perform for a Data Lake in finance, and the capabilities that Data Governance must develop to the requisite level of maturity. Particular attention is paid to Data Acquisition of financial data, Data Preparation (“Wrangling”) and the needs of analytical models. The relationships that Data Governance must establish with a wide range of units are described including relationships with Legal, Procurement, Risk, Compliance, Privacy, IT Security, Data Scientists, Data Architecture, and more. Overall, Data Lakes in financial institutions are driving Data Governance to play a coordinating and harmonizing role, which can be considered as a new way of working for Data Governance.

Attendees will learn:

  • The fundamental architecture of a Data Lake in a financial institution, and the special data management needs it has that Data Governance must address
  • The tasks that Data Governance must perform to ensure a Data Lake is successful
  • How to develop the capabilities that Data Governance needs for its enhanced role in financial Data Lakes
  • How to deal with the many different functions that are involved in the Data Lake, and how Data Governance plays a leading role in ensuring the success of the Data Lake for financial services

Level of Audience:
Intermediate

Speaker:
Malcolm Chisholm Malcolm Chisholm
Chief Innovator Officer
First San Francisco Partners

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11:45 - 12:15 DG SOLUTIONS
Thursday
October 5
11:45–12:15

 

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Thursday
October 5
12:15–1:30
Lunch and Exhibits
1:30 - 4:15 AFTERNOON TUTORIALS
Thursday
October 5
1:30–4:15

 

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T4: Governance Artifacts for Financial Organizations
Robert S. Seiner, President/Publisher, KIK Consulting/TDAN.com

When building a Data Governance program for a financial organization, there are two different ways to collect and use the metadata that moves the organization toward formalized accountability. Organizations can purchase or use software tools that are currently available on the market or they can build tools internally specific to their programs requirements. It is less expensive to start by building your own tools.

In this session with Bob Seiner, he will share several governance artifacts (tools that you can develop yourself) that are specifically focused on the needs of a financial organization. These artifacts can be used to enact stewards, engage them in governed processes, and communicate and enforce compliance and privacy rules. Attend this session and you will walk away with tangible tools to move your data governance program forward.

In this session, Bob will share:

  • The advantage of building your own tools first
  • Requirements for tools you can build yourself
  • Several key artifacts to execute authority over data
  • How to use the tools to benefit your organization
  • How to build artifacts that are easy to explain and use

Level of Audience:
Intermediate

Speaker:
Robert S. Seiner Robert S. Seiner
President/Publisher
KIK Consulting/TDAN.com

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Thursday
October 5
1:30–4:15

 

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T5: Successfully Meeting the Challenge of the New Global Data Protection Regulation (GDPR)
Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners

A sweeping, new privacy regulation arrives May 25, 2018. Will you be ready for it?  The General Data Protection Regulation (GDPR) impacts all companies that do business in the EU, including many financial services companies domiciled in the US. GDPR replaces the previous Data Protection Directive (95/46/EC), and extends the protections for individuals’ personal data.  Significant fines may be levied for noncompliance. This tutorial describes the steps an organization affected by GDPR must take in the time remaining to assure compliance.   These steps require the coordination of multiple enterprise capabilities such as Information Security, Internal Audit, Privacy, and Legal. The role of Data Governance in coordinating the required activities is described.

Attendees to the tutorial will be provided with insight and approaches for:

  • Understanding where GDPR fits into the global data privacy and data protection landscape, what the scope of GDPR is, and why GDPR is so important
  • Adopting a GDPR readiness assessment process to help identify potential gaps and a roadmap to address those gaps
  • How Data Governance works to coordinate the response to GDPR, and how this may be extensive to global data privacy and data protection regulations in general
  • Developing a Data Governance program framework that embeds data privacy and data protection processes and tools

Level of Audience:
Intermediate

Speaker:
Malcolm Chisholm Malcolm Chisholm
Chief Innovation Officer
First San Francisco Partners

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Thursday
October 5
1:30–4:15

 

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T6: How to Develop Data Quality and Data Governance Metrics
Barbara Deemer, VP Financial Systems, Navient
Michele Koch, Director, Enterprise Data Intelligence, Navient

Warren Buffett said "Beware of geeks bearing formulas". Good advice to live by but most of us implementing Data Governance and Data Quality Programs need to be geeks some of the time in order to develop formulas to derive metrics to market and sustain our programs. This tutorial will provide a detailed, step-by step account of Navient’s successful approach to developing program metrics associated with their award winning enterprise Data Governance and Data Quality Programs. It will also cover deriving business value metrics by quantifying the impacts to generating revenue and avoiding costs.

Topics that will be covered include:

  • Overview of DG Program concepts to set the stage for tracking and reporting DG metrics
  • Engaging the Data Governance Council and identifying business approvers for metrics
  • Techniques used to identify and quantify business value
  • Determining business value categories
  • Assigning business value status criteria ranges
  • Determining business value calculations
  • Generating the business values to populate a dashboard
  • Resolving data issues/errors that are identified
  • Tracking potential versus actual business value

Level of Audience:
Introductory

Speakers:
Barbara Deemer Barbara Deemer
VP Financial Systems
Navient

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  Michele Koch Michele Koch
Director, Enterprise Data Intelligence
Navient

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Thursday
October 5
4:30–5:00

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KEYNOTE:

Arrow5:00 - 6:30 EXHIBITS AND RECEPTION