Tutorials - September 28, 2015

Monday
September 28
8:00-4:30
Registration
Monday
September 28
8:00-9:00
Continental Breakfast
9:00 - 11:45 MORNING TUTORIALS
Monday
September 28
9:00-11:45

 

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T1: Considerations for Starting or Enhancing a Financial Data Governance Program 
Robert S. Seiner, President/Principal, KIK Consulting / TDAN.com

There are many things to consider when an organization starts planning their financial data governance program-from gaining management support, to the approach that will be used, to the positioning within the bank and the way the roles & responsibilities will be defined and used. The financial industry has nuances that call for specific actions that influence these considerations.

In this half day session, Bob Seiner will talk about how to start or enhance a data governance program to address compliance controls, regulatory reporting, rule changes and data mobility as essential components for a global financial workforce. Bob will focus this session on assuring that the program is productive for the long-term to manage financial data key to operational success.

In this session Bob will discuss:

  • Nuances of the financial industry and their impact on the Data Governance Program
  • How to address these nuances through specialized best practices
  • How to develop a road-map for success given the regulatory nature of the industry
  • How to define the appropriate roles to fit your organization
  • How to communicate successes and leverage cultural differences

Level of Audience:
Intermediate

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

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Monday
September 28
9:00-11:45

 

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T2: Practical Approaches to BCBS 239  
Malcolm Chisholm, President, AskGet

Risk Data Reporting and Aggregation is now subject to the BCBS 239 global regulation.  While this is initially targeted to Global Systemically Important Banks (GSIBs), all financial industry firms will eventually have to comply with it.  This tutorial addresses practical approaches to implement BCBS 239.  Selection of Critical Data Elements (CDE’s) and the semantics around them are foundational, and techniques to do this successfully are described.  The way in which data movement is documented as data moves along the supply chain to the risk reporting environment is also addressed.  The governance requirements of this documentation are detailed with processes that avoid “boil the ocean” pitfalls of detailed technical data lineage.  Pragmatic reports governance is also examined, including tracking what is being reported, how it is being distributed, and how emerging risk needs can be factored into reporting.  This is often an underserved area in financial services, but is required by BCBS 239. 

Attendees will learn:

  • Approaches to deriving practical solutions from the high-level principles of BCBS 239
  • How to govern Critical Data Elements and the semantics associated with them
  • Documenting the data supply chain that leads to the risk reporting environment, and building the controls for data quality, issue resolution, and manual adjustments
  • Governance of managing the risk report portfolio, report distribution, meeting emerging risk needs

Level of Audience:
Intermediate

Speaker:
Malcolm Chisholm Malcolm Chisholm
President
AskGet

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Monday
September 28
9:00-11:45

 

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T3: Developing Metrics for Sustainable Data Governance  
John Ladley, President, IMCue Solutions

“Information asset” needs to be more than a metaphor, you need to provide actionable measures that your data programs are working. So you are told to measure your IM and DG program’s progress and value. But how do you do that?  Where is the data? What are the metrics that work? This session will review what types of metrics are suitable for measuring the success of your IM or DG program. A case study will be used to show how metrics can be created for any type of company or organization. Attendees will learn techniques to start managing information as an actual enterprise asset and considerations for quantifying the value and progress of information management.

Topics to be covered include:

  • What types of metrics are there?  There is a lot more to measuring value than common ROI
  • What categories of metrics are there?  You need to measure people and technology as well as processes. 
  • How do we assemble and use metrics? Even if you had them, do you know what to do with them?
  • Where do I get the data?  The data is out there – you need to be creative.

Level of Audience:
Intermediate

Speaker:
John Ladley John Ladley
President
IMCue Solutions

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12:00 - 12:30 DG SOLUTIONS
Monday
September 28
12:00–12:30

 

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A Best Practice Approach to Building a Governed Big Data Lake
Alex Gorelik, Founder and CEO, Waterline Data

Learn what financial services organizations are doing to govern data in Hadoop and beyond. Alex Gorelik, CEO of Waterline Data ​named a Gartner "Cool Vendor in Information Governance and MDM" for 2015 will discuss a best practice approach to build a governed data layer over Hadoop, balancing the need for data agility and self-service data discovery with the need to comply with security and data governance policies.

Level of Audience:
All levels

Speaker:
Alex Gorelik Alex Gorelik
Founder and CEO
Waterline Data

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Monday
September 28
12:00–12:30

 

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Managing a New Generation of Data
An agile environment for creating comprehensive and accurate reports

Diane Burley, Chief Content Strategist, MarkLogic

The nature of data — and the systems that managed it -- have changed.  Regulatory reporting guidelines are "squishy" -- yet failure to comply can mean stiff fines, sanctions and likely, a loss of trust. Compliance officers are expected to fill a vital role in setting up policies and procedures that allow for the rapid collection of data and the seamless assembly of applications to make reporting accurate and comprehensive. Traditionally, organizations had to make data conform to the specific needs of each report, but as these needs evolve, the old paradigm creates undue strain on time and resources, jeopardizing data cleanliness and completeness of reporting. Listen how Chief Content Strategist Diane Burley discusses the new generation of data. Learn how to get past the headaches by maximizing data agility by streamlining infrastructure and leveraging all data.

Level of Audience:
All levels

Speaker:
Diane Burley Diane Burley
Chief Content Strategist
MarkLogic

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Monday
September 28
12:00–12:30

 

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Data Lineage for DFAST/CCAR Regulatory Reporting
Siddhartha Banerjee, VP of WW Sales, Compact Solutions

We will talk about our experience in implementing a major global bank’s data governance program focusing on meeting data lineage and ancestry requirements for BCBS, CCAR, DFAST regulatory reporting. The projects involved proving data linage from GRC software, SAS Risk models to Big Data Cloudera EDPP (Enterprise Data Provisioning Platform), Data Warehouse layer. One of the key elements of this initiative was deriving end-to end data lineage, providing the regulators capability track data flows all the way from a CDE in FY14 reports to the Hadoop Distribution layer/data warehouse staging area.

What attendees will learn:

  • The approach used to deploy the Data Governance program focused on satisfying regulatory reporting needs based on deep understanding of system interfaces, to truly understand how does data flows and how it has been derived from the sources. We will demo end-to-end lineage from Reporting, ETL and Hadoop distribution layer.
  • Exposure to a Data Governance program in a complex environment where standardized business terms, data quality rules/policies and data lineage align to satisfy the regulatory requirements.

Level of Audience:
All levels

Speaker:
Siddhartha Banerjee Siddhartha Banerjee
VP of WW Sales
Compact Solutions

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Monday
September 28
12:30–1:30
Lunch
1:30 - 4:15 AFTERNOON TUTORIALS
Monday
September 28
1:30–4:15

 

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T4: Operationalizing an End-to-End Data Governance Program in Financial Services Using Software Tools
Sunil Soares, Founder and Managing Partner, Information Asset, LLC

In this tutorial, Sunil Soares will discuss how an end-to-end Data Governance program in Financial Services can be operationalized using software tools.

Topics to be covered include the following:

  • Identifying the underlying business problem
  • Selecting target data domains based on the Enterprise Logical Data Model
  • Agreeing on Critical Data Elements
  • Documenting data policies and standards
  • Managing a business glossary
  • Leveraging metadata for data lineage and impact analysis
  • Documenting business rules
  • Implementing a data quality program including issue resolution
  • Managing master data rules for data quality, data validation, match/merge and consolidation
  • Governing reference data including mappings
  • Managing information security
  • Training and certifying data stewards to operationalize data governance with software tools
  • Addressing big data governance

Level of Audience:
Intermediate

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

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Monday
September 28
1:30–4:15

 

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T5: Top 10 Artifacts Needed for Data Governance
Kelle O’Neal, Founder and CEO, First San Francisco Partners

Have you ever Googled Data Policy hoping to find a useful template to help you write your first policy? Have you searched online for a Communication Plan in an attempt to leverage proven best practices? Search no more! This practical Tutorial will cover the most important and impactful artifacts and deliverables needed to implement and sustain governance. Rather than speak hypothetically about what output is needed from governance, we will discuss and review artifact templates to help you re-create them in your organization.

We will talk about the process to create, validate, and confirm the 10 most important artifacts needed to implement and sustain governance across your organization.

We will discuss:

  • Which artifacts are most important to get started
  • Important artifacts for more mature programs
  • How to ensure the artifacts are used and implemented, not just written
  • How to integrate governance artifacts into operational processes
  • Who should be involved in creating the deliverables

Participants in this workshop will even leave with sample artifacts they can use for their data governance programs in the future!

Level of Audience:
Introductory

Speaker:
Kelle O'Neal Kelle O'Neal
Founder and CEO
First an Francisco Partners

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Monday
September 28
1:30–4:15

 

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T6: Lessons Learned in Data Stewardship and Communication Techniques from Successful Practitioners
Barbara Deemer, Managing Director and Chief Data Steward, Navient
Michele Koch, Director, Enterprise Data Management and the Data Governance Office, Navient

In this tutorial, Michele Koch (Director of the Data Governance Office) and Barbara Deemer (Chief Data Steward) will present Navient’s (formerly known as Sallie Mae) experiences and resulting best practices while implementing and sustaining a strong data stewardship program in conjunction with their Data Governance (DG) and Data Quality (DQ) programs.  Navient’s enterprise DG program won the 2011 Data Governance Best Practice Award and TDWI’s 2010 Best Practices Award in DG.

Attendees will learn:

  • A Chief Data Steward’s best practices for building and sustaining strong data stewardship
  • DG related roles and their associated responsibilities and required skill sets
  • Building a successful communication plan and lessons learned for executing the plan
  • Utilizing templates and other communication techniques to ensure consistent and constant communication

Level of Audience:
Introductory

Speakers:
Barbara Deemer Barbara Deemer
Managing Director and
Chief Data Steward
Navient

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  Michele Koch Michele Koch
Director, Enterprise Data Management
and the Data Governance Office
Navient

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Monday
September 28
4:30–5:00

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KEYNOTE: Practical Applications of Reference Data Management in the Financial Services Enterprise
Jim Keevins, Director of Enterprise Data Management, TD Ameritrade
Laura Hahn, Sr. Manager of Enterprise Data Governance, TD Ameritrade

Reference Master Data is that data which organizations use to classify or categorize other data held by the firm.  In most firms, Reference Data is prevalent throughout organizations.  Unfortunately, many organizations do not manage reference data consistently or with any governance.  There is both reference data that comes from outside the firm (i.e. external) and reference data created internally by individual departments or development teams.  This session will focus on reference data that impacts financial services firms sourced from external bodies.  We will provide insight on how this data can be governed via a centrally managed repository and also provide some best practices in managing this reference data.

Level of Audience:
All Levels

Speakers:
Jim Keevins Jim Keevins
Director of Enterprise Data Management
TD Ameritrade

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  Laura Hahn Laura Hahn
Sr. Manager of Enterprise Data Governance
TD Ameritrade

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Arrow5:00 - 7:15 EXHIBITS AND RECEPTION