Conference Sessions - June 9, 2010

Wednesday
9 June
7:30–8:30

Registration and Continental Breakfast

7:30 - 8:15 SPECIAL INTEREST GROUPS

Tuesday
9 June
7:30–8:15

How Insurance Companies Are Addressing Data Governance
Jim Viveralli, Erie Insurance Group

The Insurance Special Interest Group will focus on data governance in the insurance industry. There will be a short presentation on some of the activities going on with the Insurance Data Management Association (IDMA). You do not need to be an IDMA member to attend. This session will also include an open forum discussion regarding last years Insurance SIG discussions and any improvements in data governance implementations since then. Although, this session is meant to foster collaboration on best practices and shared experiences in implementing data governance in the insurance industry it is not limited to insurance carriers. Consultants and vendors with experience in the insurance industry are also welcome to attend.

Speaker:

Jim Viveralli

Jim Viveralli
Erie Insurance Group

To Speaker's BIO

Tuesday
9 June
7:30–8:15

Developing Effective Data Quality Metrics
Laura Sebastian-Coleman, Ingenix/UnitedHealth and IAIDQ

Everyone needs great IQ metrics, but few know how to develop them. Join this highly interactive session to share and learn best practices! You will leave with practical tips you'll be able to implement right away.

Speaker:

Laura Sebastian-Coleman

Laura Sebastian-Coleman
Ingenix/UnitedHealth and IAIDQ

To Speaker's BIO

Tuesday
9 June
7:30–8:15

Data Standards and Regulations - The Challenges of Data Governance in the Financial Sector
Greg Zegarowski, Financial Leadership Corporation

Meeting regulatory requirements and extracting value from rich databases are critical objectives for financial services companies. What are the emerging regulatory challenges in customer privacy and data security? What are some new developments in technology standards that will affect how data governance is conducted and how data will be collected and shared by regulators and industry participants?

Topics include:

How reputational risk factors are impacting data governance efforts.
Trends in customer and data privacy regulations.
How Extensible Business Reporting Language (XBRL) is being required by the DIC and SEC and promoted by the Depository Trust & Clearing Corporation (DTCC), SWIFT, and other major industry players.
How the financial services industry can improve self-governance, increase public trust, and head-off government intervention.
Getting started or accelerating data governance within your own company.

Speaker:

Greg Zegarowski

Greg Zegarowski
Financial Leadership Corporation

To Speaker's BIO

8:30 - 9:30 CONCURRENT SESSIONS

Wednesday
9 June
8:30–9:30

Data Governance

Rolling Out a Data Governance Program in a Perfect Storm: Bottom-Up Meets Top-Down
Jeff Schmitt, Harvard Pilgrim Health Care

At Harvard Pilgrim Health Care, data governance began as almost an ad hoc effort as groups of concerned stakeholders, cajoled and facilitated by IT, coalesced around particular data pain points. When the organization embarked on its five-year IT strategy to replace its core administrative system and promote the adoption of an Enterprise Data Warehouse, executive attention was suddenly focused on our core data management capabilities and gradually maturing data governance program. This newfound set of strategic imperatives changed the conversation, turning skeptics into advocates, shifting the leadership to business rather than IT, and supplying the rationale for completing the data stewardship journey undertaken years before.

This session will provide a case study of one organization’s efforts to implement a data governance framework and associated data stewardship responsibilities that responded best to its particular challenges. Discussion will focus on its organizational context, the governance model adopted in response to its particular business drivers and corporate culture, and activities undertaken to mature its capabilities in a progressive yet non-intrusive manner. Ongoing challenges, lessons learned along the way and future opportunities for governance program enhancements will also be described.

Speaker:

Jeff Schmitt

Jeff Schmitt
Harvard Pilgrim Health Care

To Speaker's BIO

Wednesday
9 June
8:30–9:30

Data Governance

Show Me the Money
Nancy Curtis, The Wise Enterprise

Open your mind to the power of data governance principles and practices. Success stories from a practitioner show the unlimited potential to deliver business results that will gain you broad executive support and a prominent place in the organization. Think like the executives in Finance, Marketing, Sales and Operations, and you will become a powerful partner who doesn't just solve data problems, but provides a platform for strategic advantage.

Responsiveness to the marketplace
Speed to market
Customer satisfaction
Operating efficiency
Employee effectiveness
Responsiveness to the marketplace

Speaker:

Nancy Curtis

Nancy Curtis
The Wise Enterprise

To Speaker's BIO

Wednesday
9 June
8:30–9:30

Data Governance

How to Deliver a Data Governance Communication Plan
Robert S. Seiner, KIK Consulting & TDAN.com

This hour session focuses on two distinct areas where effective communications planning can quickly and inexpensively support all aspects of a data governance program. These two areas are 1) data handling / communications and 2) data awareness / security. This sessione introduces a simple tool that can be used to dramatically improve the planning around data communications, and improve awareness around data security and risk management concerns.

The session will focus on laying out a plan that addresses:

Audience: Clearly identify your audience. Who needs to hear? Who will be affected?
Message and Desired Action: Articulate what you want the audience to learn and what action they need to take.
Time and Communication Vehicle: How much time do you have available and what is your method of communication?
Role within the Data Governance Framework: What is the audience’s role within the data governance framework?

Speaker:

Robert S. Seiner

Robert S. Seiner
KIK Consulting & TDAN.com

To Speaker's BIO

Wednesday
9 June
8:30–9:30

Data Governance

Life Before and After Creating a Data Governance Team
Rich Murnane, iJET International
Falguni Sanghani, iJET International

iJET International is a global provider of business resiliency that allows corporate risk managers to protect employees and other assets around the world and gain greater control around the operating risks. Rich Murnane and Falguni Sanghani from iJET will share historical details of life before and after iJET’s decision to create a Data Governance team.

The presentation will provide insight on the following topics:

Travel industry data – repurposing data which is known for it’s data quality issues
Business opportunities lost due to data quality issues with the repurposing of travel itinerary data
Internal Sale” of a Data Governance team
Transition of resources from traditional IT/Business groups to a Data Governance Team
Staff reorganization
Process changes
Purchase and implementation of a data quality tool
Lessons learned along the way

Speakers:

	Rich Murnane iJET International To Speaker's BIO

	Falguni Sanghani iJET International To Speaker's BIO

Wednesday
9 June
8:30–9:30

IDQ

Measurement in the Middle: A Data Quality Assessment Framework
Laura Sebastian-Coleman, Ingenix/UnitedHealth and IAIDQ

Most often people talk about data quality measures at either a very abstract level (dimensions of data quality) or an extremely specific level ("I need to measure this problem..."). To avoid these traps, a team at Ingenix developed the Data Quality Assessment Framework (DQAF). Focusing on four objective data quality dimensions – completeness, timeliness, validity, and consistency – the DQAF defines 37 measurement types that can be applied to relational data (e.g., consistency across multiple columns). This paper discusses how the DQAF enables establishment of core measures and consistent implementation of data quality measurement and assessment through standardized processes and a common model.

Participants will learn about:

The business problems the DQAF addresses
How the framework was developed
The DQAF methodology
How to use the DQAF to define requirements for technical and business processes that enable measurement of data quality

Speaker:

Laura Sebastian-Coleman

Laura Sebastian-Coleman
Ingenix/UnitedHealth and IAIDQ
To Speaker's BIO

Wednesday
9 June
8:30–9:30

IDQ

Strategic Partnerships in Data Quality and Data Governance
Kira Chuchom, Cisco

This presentation covers Cisco’s experience and evolution in Data Quality and Data Governance, from leveraging a federated Data Governance framework, deploying a Data Quality Improvement methodology that includes a Data Certification process, building a Data Quality Center of Excellence that is co-led by key business and IT stakeholders, sustaining a thriving Stewardship Community, to usage of data quality tools. Also included is a real-world guide in relationship building, engagement management and executive sponsorship in the cause of Data Governance.

Key success differentiators:

Framework for Implementation and Adoption
Program and Change Management
Methodology for Data Management
Data Certification Process
Data Quality Improvement within Governance
Data Stewardship Models
Scalable, Customizable, Modular
Accommodation for “big G” and “little g” (Governance/governance)

Speaker:

Kira Chuchom

Kira Chuchom
Cisco

To Speaker's BIO

9:45 - 10:45 CONCURRENT SESSIONS

Wednesday
9 June
9:45–10:45

Data Governance

How Safeway Implemented Data Governance and MDM
Grace Loiseau, Safeway, Inc.

Data Governance has been a large topic in organizations but the key question is to how to realize data governance in a simple successful way to drive big outcomes.

Key presentation topics:

How business and IT are successfully aligned (Business and IT Management / Stakeholders)
What does Data Governance mean?
Approach taken
Drivers
Successes and Outcomes to-date
Our continued journey in enabling MDM and Data Governance (Stewardship, Owernship in IT, Business, Data Quality, Metadata)

Speaker:

Grace Loiseau

Grace Loiseau
Safeway, Inc.

To Speaker's BIO

Wednesday
9 June
9:45–10:45

Data Governance

Data Governance for CXOs
Steven Adler, IBM

The IBM Data Governance Council predicted that Data governance will become a regulatory requirement in an increasing number of countries and organizations. In some countries, organizations will have to demonstrate data governance practices to regulators as part of regular audits. They also predicted that The value of data will be treated as an asset on the balance sheet and calculating risk will be used more pervasively across enterprises for small and large decision-making and will be increasingly automated by information technology. The Chief Financial Officer will be tasked with reporting the quality of enterprise data and amount of capitalized risk and these metrics will become key performance indicators and market benchmarks.

This presentation will explore these new requirements and offer best practices and solutions for CXOs.

Speaker:

Steven Adler

Steven Adler
IBM

To Speaker's BIO

Wednesday
9 June
9:45–10:45

Data Governance

How to Get Buy-In for Data Governance
John Ladley, IMCue Solutions
Jim Viveralli, Erie insurance Group

Organizations need to develop a business case for Data Governance, even if they are not required to do so. How can you measure data governance if you have not set any targets in advance? This presentation will cover the significant drivers for data governance (DG) that offer solid financial results and will expedite solidifying your DG effort. We will review real examples from a successful Data Governance implementation at Erie Insurance Group which will reinforce the objectives of this session.

This session will cover:

Finding financial hard benefits through data profiling and business alignment
Components of marketing and selling data governance
Development of a business case
Development of a “sales presentation”

Speakers:

John Ladley

John Ladley
IMCue Solutions

To Speaker's BIO

Jim Viveralli

Jim Viveralli
Erie insurance Group

To Speaker's BIO

Wednesday
9 June
9:45–10:45

IDQ

Case Study: ODS Data Quality Monitoring Process and Scorecard
Ann Hong, U.S. Cellular

U.S. Cellular® built an ODS (Operation Data Store) a year ago and we learned important lessons from several incidents. As a result, we established a new data quality monitoring process to rapidly detect any data replication failure and missing data. Our DQ monitoring process assesses ODS data quality by comparing ODS data with multiple sources. Our system also provides a monthly data quality scorecard to management and business users, and issues daily extract/replicate monitoring reports and email alerts to support teams.

This case study addresses the following:

Analysis of data movement behavior at each table level and scheduling of DQ monitoring jobs to work around the clock
The data quality data model developed to store the DQ monitoring results and to support the scheduling tasks.
The challenges that arise from comparing an active database (the ODS) with stale databases (copy of source databases).
Techniques we used to reduce system performance impact.
How we identify and track errors (differences)

Speaker:

Ann Hong

Ann Hong
U.S. Cellular

To Speaker's BIO

Wednesday
9 June
9:45–10:45

IDQ

Medical Information Quality Through Root-Cause Process Improvement
Marie Cartron-Mizeracki, UAMS/UALR

This case study describes how the quality of medical information generated and used by two collaborating groups is perceived differently and what can be done to overcome the resulting data quality problems. The main quality issues were lack of accuracy, incompleteness and poor timeliness. The solution was to apply Total Quality Management (TQM) to identify and remove the root of the problems. We then created a data quality policy which engages both parties. Encouraging results were obtained. However, efforts must be constant especially to unify the views of both groups on the importance of data quality. We discuss how we negotiated data customer-supplier agreements, how we resolved conflicts, and how we overcame the politics that often surround data quality.

This presentation also gives an overview of the current challenges in the quality of medical information:

The lack of standards restricts better data exchange
The different interest in data makes collaboration between groups tedious
IT solutions are available but they need to be developed with a data quality perspective
Technology is not always the solution but training is
Data quality cannot be achieved without the full cooperation of all data consumers

Speaker:

Marie Cartron-Mizeracki

Marie Cartron-Mizeracki
UAMS/UALR

To Speaker's BIO

11:00 - 11:30 GOVERNANCE AND IQ SOLUTIONS

Wednesday
9 June
11:00–11:30

TBA

Wednesday
9 June
11:00–11:30

TBA

Wednesday
9 June
11:00–11:30

TBA

Wednesday
9 June
11:00–11:30

TBA

12:30 - 1:30 CONCURRENT SESSIONS

Wednesday
9 June
12:30–1:30

Data Governance

Data Governance in Financial Services
Greg Zegarowski, Financial Leadership Corporation

Customer data is one of the most valuable assets of financial institutions. How that data is mined and protected is critical to success and the use of the data must adhere to regulatory requirements and privacy standards. Going the extra mile and incorporating reputational risk considerations into a data governance program is the hallmark of leading institutions. In this session, you will learn:

How reputational risk can be defined and incorporated into a data governance process.
How a data governance initiative can be built collaboratively with IT groups, data analysts, marketing, risk departments, and legal/compliance teams.
When centralized or decentralized approaches may be most advantageous.
How natural tensions between business objectives and legal/compliance expectations can be managed through the use of FAQs, internal discussion forums, and other communication tools.
How the governance process can be structured into preventative, detective, and entity-level controls that will meet internal and external audit requirements.
How your data governance process can be sustained beyond the initial founders/drivers of the initiative.

Speaker:

Greg Zegarowski

Greg Zegarowski
Financial Leadership Corporation

To Speaker's BIO

Wednesday
9 June
12:30–1:30

Data Governance

Setting the Standards: Deploying Global Governance
Seth Earley, Earley & Associates

How do you manage taxonomy and metadata implementation across 20-plus business units, five geographies, and 20 projects? What are the factors that need to be considered when deploying standards that affect taxonomy application and operationalization? Learn how these and other challenges were addressed in a global governance deployment for a large, diverse publishing organization. This is a detailed session covering both strategy and tactical deployment issues.

Topics include:

Developing a governance framework
Governance dimensions and factors
Governance roles and responsibilities
Specific charters and templates
Developing an action plan with accountabilities

Speaker:

Eithne Reichert

Seth Earley
Earley & Associates

To Speaker's BIO

Wednesday
9 June
12:30–1:30

Data Governance

Practical Principles Learned in 3 Years of Data Governance
Pablo Riboldi, LDS Church

This is a real case study (no sales pitch, no sugar-coating, no aspirin, no buffering agents) sharing the adventures of a 3-year veteran Information Governance Manager at a large non-profit organization. You will learn principles of Data Governance with real life advice on how to apply them and how to avoid common pitfalls.

Some of the chapters in this saga include:

Data Stewards and what to steward
Policies, principles, and publicity
Data Sharing Agreements: who can have what when
Sharing methods: from pass-through accounts to MDM and SOA
Distractions and dead-ends, how to avoid them
Current efforts and future plans

Speaker:

Pablo Riboldi

Pablo Riboldi
LDS Church

To Speaker's BIO

Wednesday
9 June
12:30–1:30

Data Governance

Data Governance at Groupe Mutuel Assurances
Walid El Abed, Global Data Excellence Limited
Eric Michellod, Groupe Mutuel Assurances

This presentation will discuss a case study of the startup of a data governance implementation in an insurance company. Groupe Mutuel Assurances (GMA) introduced a new legacy program that revealed data quality issues that needed to be resolved.

The Governance Data Excellence framework was introduced and returned control of the decision to business people to perform their job first time right and to help data management people to priorize and correct what matters for the company.

We will discuss:

The positioning of Groupe Mutuel Assurances in the data excellence maturity model.
How GMA leveraged from the Data Excellence Framework to facilitate the transition into a proactive organisation.
How GMAl identified and the started with the most critical business rules to initiate data governance.
Examples of results and values generated from data governance at GMA
Lessons learned (traps, problems, etc...)

Speakers:

	Walid El Abed Global Data Excellence Limited To Speaker's BIO

	Eric Michellod Groupe Mutuel Assurances To Speaker's BIO

Wednesday
9 June
12:30–1:30

IDQ

IQ Policies and Strategies for Empowering the Knowledge Worker
Elizabeth Pierce, University of Arkansas at Little Rock

Our data quality monitoring process has improved business customers’ trust in the ODS and provided a solid foundation for the enterprise data warehouse.

Many Information Quality Policies and Strategies have been formulated from an enterprise-wide perspective. In addition to the enterprise, one can also approach IQ Policies and Strategies from multiple levels so as to provide the necessary guidance to deliver a better "information experience" at the business process/functional level, project/application level, and the employee level. This presentation discusses the role of IQ Policies and Strategies at the employee level, helping them to utilize information more efficiently to achieve objectives.

This talk identifies five critical areas:

Metadata Architecture - How will employees know what data is available, technical concerns, business definitions, quality characteristics, etc.?
Access Method - How will employees access and store the data?
Analysis Support - What tools are available for working with the data?
Privacy Considerations - What policies exist as to appropriate data treatment?
Feedback Mechanism - How will employees communicate questions or problems?

Speaker:

Elizabeth Pierce

Elizabeth Pierce
University of Arkansas at Little Rock

To Speaker's BIO

Wednesday
9 June
12:30–1:30

IDQ

Overcoming the Information Quality Challenges of Global Data Management
Kathy Hunter, Kynetika Ltd

In recent years, multi-national companies have found that maintaining multiple databases in local offices across the globe does little to provide the intelligence modern companies need to provide products and services that will transcend borders. They realize that a global database can provide richer insight, lower costs and the ability to transfer expertise by promoting centralize best practices but few have been successful.

There are very good reasons for this. Around the world there are more than 200 countries, 130+ different address formats, perhaps ten thousand languages, varying naming conventions and a multitude of different cultural influences that must be considered when managing global data and their quality. This presentation will provide some tried and tested methods that can help overcome these challenges.

Here's what we'll discuss:

The benefits of building a global database
The information quality and data governance challenges surrounding global data
Steps to overcome these challenges
Ensuring information quality in the global database
Hints and tips based on six years experience in infomation quality management focusing on global data

Speaker:

Kathy Hunter

Kathy Hunter
Kynetika Ltd

To Speaker's BIO

1:45 - 2:45 CONCURRENT SESSIONS

Wednesday
9 June
1:45–2:45

Data Governance

Presentation By Data Governance Best Practice Award Winner

Wednesday
9 June
1:45–2:45

Data Governance

Data Ethics - A Perspective for Data Governance
Anne Marie Smith, 21^st Century Insurance

For too long data and information management specialists have washed their hands of responsibility for the ways data is used by business people. Generally, a data manager’s professional responsibility for data has been limited to making data and information ‘fit for use’ for a particular business purpose. But what are those purposes, and are they ethical? Is it possible for business to be aware continually of the potential technical or process breaches of ethics in their planned data use? Are business data and information consumers solely responsible for ethical breaches, or is there an advisory role for data and information management professionals (including stewards) in the ethical use of data?

This presentation will provide categories and example scenarios where data professionals have an ethical responsibility to influence the proper use of data, and will offer some suggestions for instituting an ethical approach to data management and usage for organizations, by data stewards and officers of data governance initiatives.

In this presentation you will learn:

Foundations for ethical data management
Identifying the proper use of data in context
The Six Commandments of Ethical Data Management
Role of data stewards and governance officers in ethical data management
Examples of ethics in data governance and stewardship initiatives

Speaker:

Anne Marie Smith

Anne Marie Smith
21^st Century Insurance

To Speaker's BIO

Wednesday
9 June
1:45–2:45

Data Governance

Governance in a Transparent Data Environment
Pat Garvey, EPA

Often data is complicated and numbing to use by secondary users. The legal records is often of poor data quality, thus use is limited. Good Quality assurance procedures, data stewardship and data management practices can improve the legal record and help make the data useful to decision makers and public users. Transparency of actions must be documented and founded on standards. Sunshine to the data is very helpful. Together these actions can transform poor quality data into useful information to a vast user community. EPA has successfully employed these methods to assist in public access, community right to know and various regulatory tools available to staff and the public. The legal record should not be a hindrance to having the data be useful and used in many appropriate ways.

Speaker:

Pat Garvey

Pat Garvey
EPA

To Speaker's BIO

Wednesday
9 June
1:45–2:45

Data Governance

Toro Surveys the Enterprise Landscape with Data Governance
David Gaines, Toro
Tony Fisher, DataFlux

In this presentation, Tony Fisher and David Gaines will discuss the factors that necessitated the creation of Toro’s enterprise data governance program, the current state of the data governance implementation, and how Toro sees its data governance initiative progressing over the next year. They will share the best practices they've learned from encountering challenges during the initial phases of planning the company's governance project, as well as the unexpected ways in which the data governance solution they chose has been applied to solve many diverse problems across the organization.

They will also discuss tips for planning and embarking upon an enterprise-wide data governance program, as well as what to expect at various project intervals - one year, two years, three years and beyond.

Attendees will learn, amongst other key takeaways:

Why Toro chose to develop a data governance initiative despite the financial and strategic uncertainties of the past year's economy
Ways in which Toro has utilized existing people, business processes, and technology to achieve more effective data quality policies across multiple departments
Methods used to evaluate data governance tools and strategies to find the right fit for their organization, and ways in which your company can do the same
How organizations can use existing data governance and quality solutions to address a wide variety of enterprise-specific issues

Speaker:

	David Gaines Toro To Speaker's BIO

	Tony Fisher DataFlux To Speaker's BIO

Wednesday
9 June
1:45–2:45

IDQ

Data Quality Challenges in International Equities
Geoffrey Kemmish, Acadian Asset Management, LLC

This case study focuses on “lessons learned' from experience with identifier and time-series data problems in building and maintaining databases of historical International Equity data. With no global standards in force, or on the horizon, can we mix and match the alternative identifier schemes already in place to uniquely identify the entities - traded instruments, securities, issuers - that we are interested in? With no global standards in force, or on the horizon, can we compare financial results between companies? Or are we doomed to reinvent identifier schemes and charts of accounts over and over again? We will discuss how to resolve these issues, for organizations whose business survival depends on getting them right.

Speaker:

Geoffrey Kemmish

Geoffrey Kemmish
Acadian Asset Management, LLC

To Speaker's BIO

Wednesday
9 June
1:45–2:45

IDQ

Designing Information Quality into the National Healthcare Identification System
Tatiana Stebakova, National E-Health Transition Authority

This case study describes how Australia’s National E-Health Transition Authority (NEHTA) implemented end-to-end data quality into its National Healthcare Identification system. The data quality strategy developed includes a DQ Framework, a DQ Capability Maturity, a DQ Implementation Roadmap, and specific DQ steps at each phase of the system's development life cycle

We also share how we defined DQ requirements and embedded data quality into the business services' design and information architecture, and into the management process for the system's operations.

The session will touch on challenges of the DQ Governance for federated community and our solution to overcome those difficulties.

The session will also explain the role of NEHTA Data Quality Framework and describe its components, which include:

DQ Governance
DQ Expectations
DQ Dimensions
DQ Policies
DQ Protocol
DQ Standards
DQ Technology
DQ Performance Management.

NEHTA's approach to defining and achieving Data Quality capability maturity will be also be shared.

Speaker:

Tatiana Stebakova

Tatiana Stebakova
National E-Health Transition Authority

To Speaker's BIO

3:00 - 4:00 KEYNOTE PANEL

Wednesday
9 June
3:00–4:00

KEYNOTE PANEL:
Lessons Learned in Data Governance and Data Quality - Practitioner Panel
Moderator:
John Ladley, IMCue Solutions
Panelists:
Cynthia Hartman, The Hartford Financial Services Group
C. Lwanga Yonke, Aera Energy LLC
Winner of the Data Governance Best Practice Award
Runner up for the Data Governance Beg Practice Award

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

Topics include:

Getting started with data governance and stewardship
Dealing with political and cultural issues
Pitfalls to avoid
Sustaining data governance and information quality programs

Moderator:

John Ladley

John Ladley
IMCue Solutions

To Speaker's BIO

Panelists:

Cynthia Hartman

Cynthia Hartman
The Hartford Financial Services Group

To Speaker's BIO

C. Lwanga Yonke

C. Lwanga Yonke
Aera Energy LLC

To Speaker's BIO

Wednesday
9 June
4:15–5:15

International Association for Information and Data Quality (IAIDQ) Meeting
Christian Walenta, IAIDQ
Laura Sebastian-Coleman, IAIDQ

All are invited to attend this meeting to get the latest updates on IAIDQ activities, meet IAIDQ members and others who are interested in the association, and network with others who share a keen interest in information quality. IAIDQ leaders will present a brief overview of 2010 goals and solicit your input and ideas for future plans. Add your voice to the conversation!! Attendees will receive a copy of the Information / Data Quality Salary and Job Satisfaction Report published in 2009 by IAIDQ and the IQ program at University of Arkansas at Little Rock.

Speakers:

	Christian Walenta IAIDQ To Speaker's BIO

	Laura Sebastian-Coleman IAIDQ To Speaker's BIO