Conference Sessions - June 25, 2014

Wednesday
June 25
7:30
–8:30
Registration and Continental Breakfast
arrow8:00 - 8:50 CONCURRENT SESSIONS

Wednesday
June 25
8:00–8:50

 

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Data Quality Testing - Whose job is it REALLY??
Sherry Michaels, Data Quality Program Manager, The Hartford
Whose job should it REALLY be to test the data quality rules in your organization?  In this session, we’ll look at the need to have business data experts on the front line of the testing process.  Whether you call them data quality analysts, data scientists, data stewards or another fancy industry name, the fact remains the same:  the people testing your data quality rules and analyzing the outcome of those tests should always be someone with expert knowledge of the data and a clear understanding of how it is used within the business and across the organization.

Throughout the session, we’ll discuss various practices and beliefs found within the data governance process today when it comes to data quality testing and review scenarios that will illustrate the benefit of having business data experts directly involved and responsible when determining whether or not your data is fit for purpose.

Level of Audience
Introductory

Speaker:
Sherry Michaels Sherry Michaels
Data Quality Program Manager
The Hartford

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Wednesday
June 25
8:00–8:50

 

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Cross-Functional Collaboration to Provide Aligned Business Data to the Enterprise
Lisa Cutler-Farwig, Master Data Project Manager, Schlumberger
As Schlumberger grew to over 120,000 employees, the ability to cobble together cross-functional performance indicators became more difficult. Historically, Personnel and Finance data drove data organization in most other applications across our enterprise. Issues arose because there was no overall governance of data: Finance vs. Personnel data followers had completely different data organization and levels of granularity. This is our story of overcoming years of siloed data management to implement an enterprise wide solution.
  • Set the foundation: Implement key master data entities for building data organization consistency.
  • Need for change: Business drivers cause Finance and HR to recognize issues and start their own initiatives to align to Master Data
  • Siloed implementations: Individual initiatives do not close the gap; they need assistance from the Master Data team.
  • Coming together: Master Data team facilitates cross-functional data governance design and implementation.
  • Keeping it together: Monitoring results and maintaining the cross functional data alignment.

Level of Audience
Intermediate

Speaker:
Lisa Cutler-Farwig Lisa Cutler-Farwig
Master Data Project Manager
Schlumberger

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Wednesday
June 25
8:00–8:50

 

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Achieving Successful, Cost-effective Customer MDM: How to Shrink Time and Costs without Sacrificing Quality 
Michael Ott, Sr. VP, Innovative Systems, Inc.

It’s no surprise that organizations are considering and undertaking Customer MDM initiatives.  The reasons for doing so are many, including cost reduction, increased revenue creation, reduced compliance cost and risk, improved organizational efficiency, and better organizational decision‐making.  As numerous as the benefits are, many organizations have yet to tackle MDM initiatives because of their perceived size and complexity. 

The good news is that much of the time and investment previously thought to be required in these types of initiatives is no longer always necessary. Advances in processes, methodologies, and technologies allow many of the appropriate steps required in the full project life cycle to be dramatically shortened, enabling organizations to establish high quality MDM repositories at a fraction of the time.

This presentation will walk through the important components of successful Customer MDM projects, highlighting those areas where organizations can achieve significant time and cost savings.

Takeaways will include:

  • How to more easily achieve sponsorship
  • How to rapidly assess the state of existing data conditions
  • How to more quickly populate the MDM repository with high-quality information
  • How to dramatically reduce the amount of personnel time required to deal with exceptions
  • How to ensure efficient, ongoing maintenance of the organization’s master data

Level of Audience
Introductory

Speaker:
Michael Ott Michael Ott
Sr. VP
Innovative Systems, Inc.

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Wednesday
June 25
8:00–8:50

 

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Project Management & Data Governance – Are You Really in Control?  
Kiran Gill, Senior Strategic Consultant, Trillium Software

This session provides a step by step guide to embedding data governance and data management processes into project management to ensure project teams efficiently control and leverage your organization’s most critical asset – its data.

Project management is the discipline of “planning, organizing, motivating, and controlling resources to achieve specific goals,” and its success is highly dependent on the quality and management of data. Project management teams introduce immense risks when they fail to recognize and address a project’s data constraints, restrictions and requirements, as well as the amount of time needed to prepare data to ensure it fits the needs of a project. The presentation highlights data risk management processes, data requirements assessments, data analyses, data planning methods, and other key activities that are commonly absent in project management but critical to its success.

This session is based on data trends observed in real project management environments within many global financial, retail, utilities and healthcare organizations that the presenter has worked with. The presentation provides first hand data management observations in projects during the 5 stages:
  • Initiation
  • Planning or design
  • Production or execution
  • Monitoring and controlling
  • Closing

The audience can expect a step by step guide to help achieve optimum levels of data governance, data control and data risk management in the project management process. This is achieved by interweaving and embedding data governance in project management methodology, which really will help you regain control of data within successfully managed projects.

Level of Audience
Introductory

Speaker:
Kiran Gill Kiran Gill
Senior Strategic Consultant
Trillium Software

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Wednesday
June 25
8:00–8:50

 

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PANEL: Addressing Data Governance Challenges in the Financial Sector
Moderator: Steve Zagoudis, CEO, MetaGovernance Inc
Panelists:
Barbara Deemer, Chief Data Steward, Sallie Mae
Peter Kapur, Director Data Governance, Quality and Analytics, The Depository Trust and Clearing Corporation (DTCC)
Harold Finkel, Managing Director, Business Data Management, TIAA-CREF
Kevin Shannon, VP Data Strategy Operations, Standard and Poor’s
This panel will address the unique challenges of the financial sector in implementing data governance programs

Topics include:

  • Handling the increasing number of regulatory requirements and dealing with audits
  • Challenges of sustaining and getting support for a Data Governance program beyond core regulatory and Credit/Risk needs 
  • Expanding data governance programs to include data security, fraud, 3rd party data and breaches
  • How do financial organization measure the value and success of their dg programs
  • Recommendations for successful data governance programs for financial organizatio

Level of Audience
Intermediate

Moderator:
Steve Zagoudis Steve Zagoudis
CEO
MetaGovernance Inc

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Panelists:
Barbara Deemer Barbara Deemer
Chief Data Steward
Sallie Mae

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  Peter Kapur Peter Kapur
Director Data Governance,
Quality and Analytics
The Depository Trust and
Clearing Corporation (DTCC)

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Harold Finkel Harold Finkel
Managing Director,
Business Data Management
TIAA-CREF

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  Kevin Shannon Kevin Shannon
VP Data Strategy Operations
Standard and Poor’s

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8:50 - 9:05 Room Change
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Wednesday
June 25
9:05–9:35

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KEYNOTE: Back of the Napkin Data Monetization
Anne Buff, SAS Best Practices Thought Leader, SAS

The simplicity of “back of the napkin” business ideas allows us to put our best thoughts on paper in quick, visual representations exposing hidden answers to questions that have plagued us for longer than we want to admit. Determining the value of data is no different.

“Data is a corporate asset” has achieved platitude status yet companies are still looking for the answer to the age old question of “How much is our data worth?” In this presentation we’ll clear up the confusion around Data Monetization, offering an authoritative definition and illustrating examples of how to sketch it out. We’ll also examine the value of quantifying the financial worth of data, review key considerations of monetizing data and suggest ways of getting—and keeping—data front and center on the executive priority list.

Level of Audience:
All levels

Speaker:
Anne Buff Anne Buff
SAS Best Practices Thought Leader
SAS

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9:35 - 10:15 Coffee Break & Exhibits Open
arrow10:15 - 10:45 DATA GOVERNANCE AND IQ SOLUTIONS

Wednesday
June 25
10:15–10:45

 

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Locate and Exterminate – Find the Hidden Factories in Your Business
Kiran Gill, Senior Strategic Consultant, Trillium Software
Lean Data Governance is the application of Lean methodology to data governance using key Lean methodologies. This approach can help your business to prevent and eliminate wasteful data management processes and wasteful or inefficient activity. Lean Data Governance helps organisations to deliver robust, reliable and timely outputs to their internal customers by locating and eliminating Hidden Factories. The term “Hidden Factory” is used to describe areas within the business that are visible to the eye, but have unseen processes running in the background. These activities are not transparent, they’re very wasteful and they run a high risk of duplication of effort.

Lean Data Governance feeds the process of identifying and exposing these Hidden Factories, allowing the business to replace these with more transparent and efficient operations. This session will detail the process of locating and exterminating these factories, using Trillium’s Data Governance disciplines leveraged by Trillium Strategic Consulting. We will walk through the process of finding these factories, working out what they do and formulating a plan to exterminate.  We will explore how these inefficient operations can be replaced with Visible Factories that promote success and growth.

Audience Level:
All Levels

Speaker:
Kiran Gill Kiran Gill
Senior Strategic Consultant
Trillium Software

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Wednesday
June 25
10:15–10:45

 

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Achieving Data Quality with Infogix Solutions
Chris Reed, Solutions Consultant, Infogix
Jay Shah, Product Manager, Infogix, Inc.
Business operations today depend on accurate, consistent, and reliable data to ensure that processes are running effectively and accurately. Infogix Assure provides the capabilities to implement automated information controls that detect data errors across business operations and the enterprise. In this session, Infogix will review how the Infogix Assure Data Quality Module helps assess the quality of operational data, as it dynamically moves throughout processes, enabling data quality controls.

Audience Level:
All Levels

Speakers:
Chris Reed Chris Reed
Solutions Consultant
Infogix

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  Jay Shah Jay Shah
Product Manager
Infogix, Inc.

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Wednesday
June 25
10:15–10:45

 

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Improving Information Governance through Clarity and Collaboration
Scott Braker-Abene, Director Solution Management, Information Management, SAP
Traci Sullivan, Sr. Solution Engineer, SAP
Good information governance can be a complex undertaking, but one thing is clear – it depends on a 360-degree visual framework used collaboratively by management, IT organizations, and business users for the entire data lifecycle.   SAP’s Enterprise Information Management portfolio helps users to create a collaborative framework for the entire information governance lifecycle. They enable a direct line of sight from the source of data to its impact on the business.

Audience Level:
All Levels

Speakers:
Scott Braker-Abene Scott Braker-Abene
Director Solution Management,
Information Management
SAP

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  Traci Sullivan Traci Sullivan
Sr. Solution Engineer
SAP

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Wednesday
June 25
10:15–10:45

 

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Why Product Information Management? Role of Data Governance & Data Quality in Successful Product Information Management Initiatives
Raman Parthasarathy, Vice President of Product Strategy, Riversand Technologies
Kelle O'Neal, Managing Partner, First San Francisco Partners
Organizations such as Retailers, Manufacturers and others dealing with Product Data as a key data domain are increasingly looking at Product Information Management (PIM). Some of business benefits of PIM include faster new product introductions, increased productivity in managing product master data, clear and consistent product data across different channels resulting in better customer experience and increased sales.

From a data perspective, PIM initiatives involve product data acquisition internally and externally through business partners followed by data management & enrichment through complex business process workflows supported by data governance & stewardship. The range of data spans from internal & structured to external and unstructured content. Key understanding and focus on Data Quality Management (DQM) as well as Data Governance (DG) becomes an important imperative for the overall success of the PIM program and in turn resulting in increased business value & impact.

In this session we will cover:

  • Business Benefits of PIM
  • Why focus on Data Governance and Data Quality as part of PIM?
  • How Riversand’s MDMCenter enables the above ?
  • Case Study

Audience Level:
All Levels

Speakers:
Raman Parthasarathy Raman Parthasarathy
Vice President of Product Strategy
Riversand Technologies

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  Kelle O'Neal Kelle O'Neal
Managing Partner
First San Francisco Partners

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10:45 - 11:00 Room Change
11:00 - 11:50 CONCURRENT SESSIONS

Wednesday
June 25
11:00–11:50

 

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Business Driven Data Governance– Led by Business in Partnership with Technology
Peter Kapur, Director Data Governance, Quality and Analytics, The Depository Trust and Clearing Corporation (DTCC)

We will discuss several initiatives in DTCC that were successful using the principles of creating Lean but inclusive Governance Structures that are Business driven in partnership with Technology. At DTCC, we apply business value criteria to determine what business area or data needs to be managed beyond a localized view. The Data Governance Council and Data Governance Advisory are Business led but inclusive of all functional areas of the company and cater to stakeholder needs.

The DTCC approach:

  • Take a Business-Centric problem-solving view of Governance before creating Enterprise level policies. Rationalize and minimize cost for regulatory large Technology-driven initiatives.
  • Rationalize metadata which is generated in various stages of Business & Technology processes. Distinguish between Business, Technical and Operational Metadata
  • Business value creation Driven use of Technology to enable business structures and processes.
  • Several successful Data Governance initiatives that helped to build credibility and identity and acceptance for the program. - Cloud Based Analytics, Derivatives Messaging Templates, I&R Data Templates, Risk Metadata

Level of Audience
Intermediate

Speaker:
Peter Kapur Peter Kapur
Director Data Governance, Quality and Analytics
The Depository Trust and Clearing Corporation (DTCC)

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Wednesday
June 25
11:00–11:50

 

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Identifier Resolution is the Ultimate Answer to Increasing Data Quality as Well as Reducing its Cost
Peter Benson, Executive Director, ECCMA

Identifiers are literally the keys to unlocking the value in data. From telephone numbers to account numbers, part numbers, tax identification numbers, social security numbers and passport numbers through to the new Legal Entity Identifier (LEI); identifiers are the most valuable yet the most fragile of all data elements. Storing, using or distributing an identifier that can be validated is the key to improving data quality and decreasing risk. Identifiers are also copyright and using an identifier without knowing if its use is authorized can create substantial hidden financial liabilities. “Quality Identifier Resolution” is a simple process that can be used to automate the identification of the owner of an identifier as well as provide automated validation and resolution of the identifier itself.

Learn how to recognize a quality identifier and how to use ISO 22745 to request resolution of quality identifiers to authoritative master data.

Learn how to create and publish your own quality identifiers as well as how to use ISO 22745 to provide quality identifier resolution services.

Level of Audience
Intermediate

Speaker:
Peter Benson Peter Benson
Executive Director
ECCMA

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Wednesday
June 25
11:00–11:50

 

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Achieving Data Governance in the Big Data Paradigm 
Joe Caserta, President, Caserta Concepts

Data Governance in the Big Data paradigm is about putting people in charge of fixing and preventing issues with data so that the enterprise can become more efficient.
It supports high, and strives to prevent low, data quality, ensuring that the data can be trusted -- and people will be held accountable for any adverse event that may happen.

This presentation explains the “agile” data culture where we:

  • Explore datasets in new ways
  • Outline the steps to take toward Big Data Governance in an organization,
  • Present the realities and must-have tips for success and resulting data quality, and
  • Share an overview of the tools necessary to achieve these goals. 

There is also a look at the increased importance of Data Security – determining who sees what – with an overview of products currently available to ensure and support a secure environment.

Level of Audience
Intermediate

Speaker:
Joe Caserta Joe Caserta
President
Caserta Concepts

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Wednesday
June 25
11:00–11:50

 

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Characteristics of a Maturing Data Governance Program 
Mary Anne Hopper, Management Consultant, SAS

Successful Data Governance programs have some commonalities – planning, monitoring, measurement and most importantly, Data Management outcomes.  Whether kicking off a program, breathing life back into a faltering program, or improving current processes, there are some actionable steps that are critical to success.  This class will explore those success factors, the importance of Data Management, and what it means to mature a Data Governance program.

Attendees will learn:

  • The alignment between Data Governance and Data Management activities
  • Key considerations in launching, reinvigorating, or improving their Data Governance program
  • How to mature Data Governance and Data Management capabilities

Level of Audience
Intermediate

Speaker:
Mary Anne Hopper Mary Anne Hopper
Management Consultant
SAS

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Wednesday
June 25
11:00–11:50

 

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Data Governance in the Real World 
Michael Atkin, Managing Director, EDM Council

Data governance is the backbone of a successful data management program.  It is about setting standards, defining rules and implementing an oversight process to ensure adherence to established data policy.  The goal is to ensure trust and confidence among consumers that the data they are relying on for business processing and decision making is precisely what they expect it to be, without the need for manual reconciliation or reliance on data transformation processes.  This is achieved via the adoption of standards.  Standards are governed by policy.  Policy is established by executive management and enforced by audit.  

Attend this session and learn how to:

  • Establish the governance structure (appoint executive owner, organize stakeholders, create deployment plan, ensure adequate funding)
  • Implement policy (rules for data acquisition, alignment to meaning, maintenance, delivery,  usage, enforcement, audit)
  • Develop the operational model (management of the structure, control points, escalation procedures, approval processes, alignment with control functions)
  • Monitor and measure (effectiveness against objectives, consistency with policy, alignment with business strategy, calculation of ROI)

Level of Audience
Intermediate

Speaker:
Michael Atkin Michael Atkin
Managing Director
EDM Council

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11:50 - 1:15 LUNCH
1:15 - 2:05 CONCURRENT SESSIONS

Wednesday
June 25
1:15–2:05

 

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Implementing Sustainable Data Governance at Cerveceria Nacional-SABMiller Ecuador
Maria Suarez, MDM Manager, Cerveceria Nacional - Sabmiller Ecuador

The presentation will show how we implemented our Data Governance Program from nothing, in a company were no one knows or understands master data. This has resulted in our team being recognized as a value added team that develop solutions to the business The presentation details how the master data model evolved from a non-value process to a core business process  offering key support in every functional area at Cerveceria Nacional, Subsidiary SABMiller Plc.

Topics include:

  • Understanding the business process and its data
  • Identifying Data Owners and governance model (Roles and Responsibilities) •Change Management for new ways of working.
  • Setting up the tool with business rules and process implementation.
  • Data Quality in place

Level of Audience
Intermediate

Speaker:
Maria Suarez Maria Suarez
MDM Manager
Cerveceria Nacional - Sabmiller Ecuador

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Wednesday
June 25
1:15–2:05

 

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Integrating Data Governance and Data Exploration
Ted Chila, Director of Data Services, Broadcast Music Inc.

Today, most enterprises have multiple groups of sophisticated users of outside of IT consuming the enterprise data asset. They want to perform complex data exploration on enterprise data (ODS/EDW), external data sets, and their own ad-hoc data artifacts.

This presentation discusses the challenges of providing the means to use these data together while maintaining the integrity of the core enterprise data asset. Solution approaches incorporate hardware and software, data architecture, and the expansion of data governance process and roles into new areas.

Topics include:

  • Managing the boundaries between enterprise, ad-hoc, and external data sets.
  • The effective use of sandboxes and data labs.
  • Data stewards and proliferation of ad-hoc data artifacts.
  • The impact of MPP platforms.
  • Using DQ tools for non-enterprise data exploration.

Level of Audience
Advanced

Speaker:
Theodore Chila Ted Chila
Director of Data Services
Broadcast Music Inc.

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Wednesday
June 25
1:15–2:05

 

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Beauty is in the Eye of the Beholder: Measuring the Benefits of Governance
Michael Nicosia, Director, Corp Finance Data & Integration, TIAA-CREF
Erik Ferrone, Manager, TIAA-CREF

"It" can be relative to something else; "It" can be what is perceived; "It" can be what you state it as; "It" can vary by person, by group, by area, etc. – so, what is "it"?

The "It" in this case refers to value; more specifically the benefits that governance can bring to an organization. Even if you are a seasoned governance practitioner or someone just starting the journey, the question you wrestle with most often is "how do I measure the value of governance?" The answer to this question, unfortunately, is not so simple. The value of governance – aka benefits – is often hard to define and even harder (at times) to measure in a way that is meaningful to a broad group of stakeholders – but not impossible!
This session will provide insight into:
  • Why having a business owned, operated governance function is the first step in defining business-centric value
  • How to develop measurable goals and aligning the right strategies for success
  • How you can align governance stakeholders on a common set of goals to achieve positive outcomes
  • How to build a framework for developing a balanced approach to measuring the value of your data governance effort

Level of Audience
Introductory

Speakers:
Michael Nicosia Michael Nicosia
Director, Corp Finance Data & Integration
TIAA-CREF

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  Erik Ferrone Erik Ferrone
Manager
TIAA-CREF

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Wednesday
June 25
1:15–2:05

 

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Data Asset Performance Management and Governance
Robert Guberud, VP, IQM and Governance Practice, Stream Integration

This presentation introduces the concept of data asset performance measurement - twenty key indicators across six different decision areas, a set of business intelligence solutions to be used by innovative companies to drive greater information asset valuation and governance. These solutions reflect the insight that the most valuable information in data governance related decision-making is concentrated in a relatively small number of meta information asset "sweet spots", i.e. nodes in a corporation's analysis of the information value chain.

Decision areas are organized by six major functions that drive different slices of performance. Learn how to implement these core competencies for data asset management and governance program success factors. Starting with critical data element support for corporate performance indicators and vital business functions, each area considers key challenges and means to measure success in areas such as Best Practice Production, Data Quality Operations, Data Competence, Learning and Growth, and also looking at data asset financial management and information valuation.

Level of Audience
Intermediate

Speaker:
Robert Guberud Robert Guberud
VP, IQM and Governance Practice
Stream Integration

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Wednesday
June 25
1:15–2:05

 

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PANEL: Tips from the Trenches-Lessons Learned from Successful Practitioners
Moderator: Michael Scofield, Assistant Professor, Loma Linda University
Panelists:
Pablo Riboldi, MDM & Governance Engineer, LDS Church
Michele Koch, Director, Enterprise Data Management, Sallie Mae
Jose Solera, Director IT Enterprise Services & PMO, Railinc
Mark Nadeau, Director, Global Marketing Technology and Data Governance Office, Schneider Electric

This panel discussion will focus on real life experiences and challenges encountered by practitioners in starting, deploying and sustaining data governance and data stewardship programs.

Topics include:

  • Getting started with data governance and stewardship
  • Measuring, showing and sharing the value of your data governance program
  • How to get people involved and keep the momentum going with a data governance council
  • Pitfalls to avoid
  • If you had to start over again what would you do differently
Level of Audience
All Levels
Moderator:
Michael Scofield Michael Scofield
Assistant Professor
Loma Linda University

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Panelists:
Pablo Riboldi Pablo Riboldi
MDM & Governance Engineer
LDS Church

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  Michele Koch Michele Koch
Director, Enterprise Data Management
Sallie Mae

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Jose Solera Jose Solera
Director IT Enterprise Services & PMO
Railinc

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  Mark Nadeau Mark Nadeau
Director, Global Marketing Technology and Data Governance Office
Schneider Electric

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2:05 - 2:20 Room Change
arrow2:20 - 3:10 CONCURRENT SESSIONS

Wednesday
June 25
2:20–3:10

 

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Hope is not a Strategy: How to use Proven Sales Techniques to Maintain the Commitment in your Data Governance Program
Kelle O'Neal, Managing Partner, First San Francisco Partners

It's obvious that data is a valuable corporate asset, so why aren't the executives supporting your data strategy? One of the biggest challenges behind establishing and sustaining a Data Governance Program is getting and maintaining the commitment of key stakeholders. A successful way to gain this involvement is to think about this process as a sales process. What do you need to do to convince these stakeholders to "buy" your Program?

In this session we will use well-known sales techniques to demonstrate:

  • Creating an Influence Map to determine areas of support and risk
  • Creating a "sales team" to assist in the process
  • Linking DG value to stakeholders' agendas
  • Gaining commitment followed by action

Using specific examples from different company programs, we will demonstrate these sales techniques from the viewpoint of a Data Governance leader who is responsible to build and execute the program.

Level of Audience
Introductory

Speaker:
Kelle O'Neal Kelle O'Neal
Managing Partner
First San Francisco Partners

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Wednesday
June 25
2:20–3:10

 

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Starting and evolving a Data Quality Program at University of British Columbia
George Firican, University of British Columbia, Data Quality Manager

It is a fact that poor quality data is costing large amounts of money to institutions all over the world. Within the fundraising and alumni relations domain this might equate into potentially lost prospects, donors, donations, alumni engagements, and resources needlessly spent on redundant procedures, etc. The University of British Columbia’s (UBC) "Start an Evolution" campaign aims to raise $1.5 billion dollars for students, research and community engagement and to double the number of alumni involved annually in the life of the university by 2015. As such, a Data Quality Program is crucial in supporting this goal. This presentation will show how UBC’s Development and Alumni Portfolio started and evolved a Data Quality Program, its success stories and lessons learned.

You will learn:
  • Critical steps in developing a Data Quality Program
  • Adopting a methodology for success
  • Gaining support and fostering cultural change towards the importance of information quality
  • Showcasing data quality improvements

Level of Audience
Introductory

Speaker:
George Firican George Firican
Data Quality Manager
University of British Columbia

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Wednesday
June 25
2:20–3:10

 

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Metrics Required For Successful Data Governance
Dave Borean, VP Technology, InfoTrellis

This season will discuss metrics that must be gathered and reported on to be successful with master data management and the emerging discipline of big data management. Examples of metrics include data quality (issue discovery and backlogs), data change, data composition, data stewardship and data consumption trends.

Real-world case studies and examples will be presented along with how these metrics enable various stakeholders, including data governance councils, to better manage the data such as increasing quality and decreasing TCO.

This session will cover:
  • What are the types of metrics required for governance over master data and big data?
  • How can these metrics be collected and reported?
  • Who are the stakeholders that receive the reports?
  • How can the metrics be used to better manage the data?

Level of Audience
Intermediate

Speaker:
Dave Borean Dave Borean
VP Technology
InfoTrellis

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Wednesday
June 25
2:20–3:10

 

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Engaging Users Better and Promoting Statistical Data Quality
Doreen Kasozi, Senior Officer Standards, Uganda Bureau of Statistics

In Uganda, the demand for statistics has grown in response to social, economic, environmental and political developments in the country especially over the last 15 years. To respond to these demands, Uganda Bureau of Statistics (UBOS) and respective producers generate various statistics products through collection, analysis and coordination of socio-economic data. Among these are key development indicators that inform the national and regional development agenda, as well as international development frameworks for example the MDGs, IMF, World Bank etc.

However, in spite of existing user engagements and successful partnerships established in statistical work, the Bureau still faces a number of challenges that affect the quality and usability of statistical information

This presentation will focus on the challenges of how we are resolving these issues and promoting statistical data quality.

This includes:

  • Defining, measuring and documenting the process of user engagement
  • Adopting a KYU Model (Know your User)
  • Making users aware of how they can find the information they need
  • Soliciting feedback from users on their experiences of the statistical service they receive
  • Responding to data requests from various users in a timely manner and consulting users before making changes

Level of Audience
Intermediate

Speaker:
Doreen Kasozi Doreen Kasozi
Senior Officer Standards
Uganda Bureau of Statistics

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Wednesday
June 25
2:20–3:10

 

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PANEL: Is Data Quality Really a Discipline?
Moderator: Len Silverston, President, Universal Data Models
Panelists:
Danette McGilvray, President and Principal, Granite Falls
David Plotkin, Advisory Consultant, EMC
Daragh O Brien, Managing Director, Castlebridge Associates
Joy Medved, Strategy Consultant, Paradata Consulting, LLC
John R. Talburt, Professor. UALR Information Science


Although everyone agrees that poor data quality is a problem and needs to be addressed few organizations have dedicated data quality teams.
For some- information quality is a part of another job and many analysts don’t have the authority  to effectively make changes and get the business more involved.

Our panel will address the following and provide recommendations how to succeed in data quality and make data quality a priority :

  • Okay you have assessed your organization’s data quality-now what?
  • How to get more involved with data quality at the root cause?
  • Do you need a CDO to be successful?
  • How to move data quality from the project level to the enterprise level?
  • Innovative ideas how to succeed
  • Is data quality really a full time job?

Level of Audience
All Levels

Moderator:
Len Silverston Len Silverston
President
Universal Data Models

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Panelists:
Danette McGilvray Danette McGilvray
President and Principal
Granite Falls

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  David Plotkin David Plotkin
Advisory Consultant
EMC

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Daragh O Brien Daragh O Brien
Managing Director
Castlebridge Associates

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  Joy Medved Joy Medved
Strategy Consultant
Paradata Consulting, LLC

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John R. Talburt John R. Talburt
Professor
UALR Information Science

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3:10 - 3:30 Coffee Break
3:30 - 4:20 KEYNOTE

Wednesday
June 25
3:30–4:20

 

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KEYNOTE: Privacy Engineering and Data Governance
Michelle Dennedy, VP Chief Privacy Officer, McAfee
Thomas Finneran, Principal Consultant, IDennedy Project

The earth is not flat and privacy is not dead.  The presentation is for data governance and data management practitioners (and their management and support personnel) to be exposed to a systematic engineering approach to develop privacy policies based upon enterprise goals and appropriate government regulations. 

We will present a privacy requirements checklist that will be used to aid data stewards to include privacy demands along with business requirements into system development use cases.  We will also discuss the roles that will ensure privacy compliance, including the roles of data collection stewards and data use stewards.  Data collection stewards will, among other duties, classify data attributes within their area of responsibility, as to data sensitivity and whether encryption is needed.  The data use stewards will ensure that reports and other outputs comply with government and enterprise policies. 

A quality assurance checklist that will be used throughout the development process will be discussed. 

  • Purpose
  • Notice 
  • Choice/Consent
  • Transfer
  • Access, Correction, Deletion
  • Security
  • Minimization
  • Proportionality
  • Retention
  • Act Responsibly

Organizational aspects of privacy engineering will be discussed including Privacy Readiness Assessment and alignment of a privacy organization and the data governance. 

Much of the content will be based upon the new book “The Privacy Engineer’s Manifesto: Getting from Policy to Code to QA to Value” by Michelle Finneran Dennedy, Thomas R Finneran, and Jonathan Fox. 

Level of Audience
All levels

Speakers:
Michelle Dennedy Michelle Dennedy
VP Chief Privacy Officer
McAfee

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  Thomas Finneran Thomas Finneran
Principal Consultant
IDennedy Project

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Wednesday
June 25
4:30–5:15

 

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Data Governance and Health Care Special Interest Group
DGPO Data Governance Health Care SIG Facilitators
Eileen Koski, Director, Data Governance, North Shore LIJ Health System
George Yuhasz, Director, Data Process & Governance, HealthNow New York Inc.

Data Governance and Data Quality Professionals from different areas of healthcare, including payers, providers and others, have recently come together to form the DGPO Data Governance and Health Care Special Interest Group (SIG).  The purpose of this SIG is to provide a forum where people in the healthcare industry can interact with their peers and learn more about techniques and approaches that may be valuable in their own environments, particularly related to how Data Governance and Stewardship can help them address those needs. 

The DGPO invites everyone
attending the conference and stewardship seminar to attend the first in-person meeting of the HealthCare SIG. We encourage you to bring your questions, concerns, unique perspectives and your curiosity to the table and join us as we continue to grow the SIG and find new ways to support each other in our journey towards better health care through better data!

Level of Audience
All Levels

DGPO Data Governance Health Care SIG Facilitators:
Eileen Koski Eileen Koski
Director, Data Governance
North Shore LIJ Health System

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  George Yuhasz George Yuhasz
Director, Data Process & Governance
HealthNow New York Inc.

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