Tutorials - September 8, 2016

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

 

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T1: Stewarding Financial Data: Five Ingredients for Governance Success 
Robert S. Seiner, President / Publisher, KIK Consulting / TDAN.com

There are a handful of ingredients necessary to deliver effective stewardship of financial data. Several of these ingredients are required for any industry while a few require specific modification for financial data. It is valuable to learn from others which ingredients can be tuned and how to tune them to match your requirements.

Join Robert S. Seiner as he spells out five key ingredients to stewarding financial data toward formal governance. Bob will compare and contrast several finance and non-finance focused programs highlighting the core similarities and differences in stewardship – while sharing tips and techniques for addressing those items that are finance-focused. You may be surprised which ingredients need to be tweaked.

In this session Bob will discuss:

  • Five Ingredients to Steward Data toward Data Governance Program Success
  • What Financial Data Governance can Learn from Other Industries
  • Tuning Stewardship Ingredients to Match Your Values and Culture
  • Essential Stewardship Ingredient Details for the Financial Industry
  • An Action Plan for Delivering Financial Data Governance

Level of Audience:
Intermediate

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

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Thursday
September 8
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, LLC

This tutorial will review an end-to-end approach to operationalize data governance for DFAST and CCAR compliance and will review best practices from Sunil Soares' book, "Data Governance Guide to BCBS 239 and DFAST Compliance."

It will cover the following topics:

  • 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, LLC

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Thursday
September 8
8:45-11:30

 

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T3: Managing Core Reference Data in Finance  
Malcolm Chisholm, Chief Innovator Officer, First San Francisco Partners

Core Reference Data is often known as "code tables" and is a critical part of reference data in finance.  Unfortunately, the structural simplicity and low volume of Core Reference Data often causes it to be overlooked.  Yet more than 50% of the business semantics of a financial subject area can be expressed in Core Reference Data, and defects in it, or misunderstanding of its usage, can lead to widespread problems.  This tutorial describes the characteristics of Core Reference Data and outlines the specific governance needs that it has - which are quite different to other classes of Reference Data.  Special attention is given to practical techniques for managing Core Reference Data, including issues in global projects, and the need for a federated approach.  Recent interest in vendors is also surveyed.

Attendees will learn:

  • What is Core Reference Data, and what sets it apart from other types of Reference Data
  • The specific characteristics of Core Reference Data, and their bearing on Data Management
  • Governance approaches to Core Reference Data, including both the Operational and IT perspectives.
  • Practical techniques for managing Core Reference Data
  • Future directions for Core Reference Data

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
September 8
11:45–12:15

 

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Helping Clients Achieve Business Benefits with Governance
Remy Mandon, Director of Client Success and Worldwide Sales, IBM

Today, business leaders don't want more data; they want trusted data and an easier path to understand what it means.  How can you use this data to enrich the experience of your customers and drive better business decisions?  Historical, transactional and real-time streams data can all be integrated together to deliver insights, but require a modern data management strategy based on business priorities, practical implications and technical capabilities.  Learn how to achieve the goals of harnessing and delivering trusted and governed information at the right time for the right reason.

Level of Audience:
All Levels

Speaker:
Remy Mandon Remy Mandon
Director of Client Success and Worldwide Sales
IBM

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11:45 - 12:15 DG SOLUTIONS
Thursday
September 8
11:45–12:15

 

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Data Governance in a Box with EBX5
Jae Lee, Manager, Information Asset
Conrad Chuang, Director Solutions Strategy, Orchestra Networks

In this lively presentation, Jae Lee, from Information Asset, and Conrad Chuang, from Orchestra Networks, will demonstrate an implementation of Information Asset’s comprehensive data governance operating model (“Data Governance in a Box”) in Orchestra Networks’ EBX5.  “Data Governance in a Box” is being used by many large Financial Services organizations as the basis for operationalizing enterprise data governance programs.

The session will highlight the implementation of governance workflows as a foundation for  enterprise data governance, covering:

  • Hierarchical business glossaries, taxonomies and ontologies
  • Data standards and critical data elements
  • Data Sharing Agreements and corresponding Data SLAs
  • Technical metadata
  • Data quality rules, scoring and dashboards

Level of Audience:
All Levels

Speakers:
Jae Lee Jae Lee
Manager
Information Asset

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  Conrad Chuang Conrad Chuang
Director Solutions Strategy
Orchestra Networks

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11:45 - 12:15 DG SOLUTIONS
Thursday
September 8
11:45–12:15

 

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A Practical Approach to Getting Quality Data
Anju Jain, Product Manager, ROKITT ASTRA

Data Quality is a recognized issue across organizations. It is as much a business issue as it is an IT problem. Resolving data quality must be approach in a structured and methodical manner. Characteristics of a good quality data must be defined by the firm. The qualities may differ from organization to organizations. The characteristics typically include accuracy, consistency, completeness, timeliness, trustworthiness, relevance, accessibility and coherence to name a few. The scope and goal of a data quality initiative is important. It’s not about choosing the right IT tools and their implementations. It’s about having the right focus from senior management, business willingness to support the program, and having the infrastructure (includes people and processes) to support the initiative. This presentation will focus on how to get to quality data within your organization using practical and implementable means.

Level of Audience:
All Levels

Speaker:
Anju Jain Anju Jain
Product Manager
ROKITT ASTRA

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Thursday
September 8
12:15–1:30
Buffet Lunch and Exhibits Open
1:30 - 4:15 AFTERNOON TUTORIALS
Thursday
September 8
1:30–4:15

 

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T4: Building a Comprehensive Financial Data Governance Framework
Steven Zagoudis, CEO, MetaGovernance Solutions LLC

Data Governance becomes a competitive game changer when the focus is top-down, business-driven, technology-enabled, and integrated tightly into the value chain of a financial institution.  This tutorial explores the key components of an effective Data Governance framework within the financial vertical from an overarching, business-driven model that moves governance from back-office risk reduction to operational revenue generation strategies and management execution.  Data Governance must be seen as an efficiency and risk-reducing effort, not just as an incremental regulatory or compliance burden.   Based on successful integration of Data Governance across the financial industry, this tutorial explores the needed organizational structure, roles and responsibilities, business processes, metadata components, technical and business controls, and needed security and retention integration.  Emphasis is placed on tracking subject areas of data need for expanding market share, as well as the governance framework to associate data with incidents, processes, projects, and compliance matters.

During this tutorial you will learn:

  • How to associate information and data with key business drivers, projects and initiatives for both revenue-generating, compliance, or issue resolution efforts.
  • A Data Governance classification system (metadata) for finance and banking.
  • A framework to resolve the mystery over the source and use of data and information across the organization.
  • The Data Governance Architecture in the financial vertical.
  • The roles the business and technology need to play for sustainable Data Governance.
  • Data Governance reporting – what it is and how can it be accomplished?

Level of Audience:
Intermediate

Speaker:
Steven Zagoudis Steven Zagoudis
CEO
MetaGovernance Solutions LLC

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Thursday
September 8
1:30–4:15

 

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T5: Crossing the $10B Threshold: Welcome to the Data Governance Big Leagues
Kelle O’Neal, Founder and CEO, First San Francisco Partners

Financial firms with assets of $10B or above face a unique set of regulatory and reporting requirements. With exposure to stricter governance requirements, firms at this level need to adjust and adapt processes, manage and retain even more information and better mitigate risk – while at the same time remaining financially sound.

For financial institutions that are not (yet) global mega banks and insurance companies, this session will cover how a robust data governance program facilitates and helps sustain growth that, when leveraged effectively, can add ongoing value to multiple lines of business and across geographic boundaries.

This session will also address:

  • Typical governance requirements for mid-sized firms
  • Regulatory requirements that impact Data Governance for mid-sized firms
  • How to benchmark your program’s data management functions/processes to align with the EDM Council’s DCAM model
  • Addressing new data domains, while maintaining consistency and achieving economies of scale
  • Improving operational processes with data standards
  • Creating a communication process to improve awareness and understanding of governance as a core competency

Level of Audience:
Introductory

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

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Thursday
September 8
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
September 8
4:30–5:00

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KEYNOTE: Governing Sensitive Information - A Data Ecosystem Approach
Arka Mukherjee, Founder and CEO, Global IDs

Financial institutions with complex data ecosystems often find it difficult to identify and protect sensitive information. Given the threat of cyber-attacks, it is critical that a comprehensive inventory of sensitive information be created and governed. This presentation covers the methodology for identifying sensitive data, establishing governance controls and ensuring that this data is protected.

Level of Audience:
All Levels

Speaker:
Arka Mukherjee Arka Mukherjee
Founder and CEO
Global IDs

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Arrow5:00 - 6:30 EXHIBITS AND RECEPTION