Pre-Conference Tutorials - June 27, 2011

Monday
27 June
7:30–8:30
Registration and Continental Breakfast
8:30 - 11:45 MORNING TUTORIALS

Monday
7 June
8:30-11:45

Data Governance

 

ArrowBack to top

A Best Practice Methodology for Enterprise Data Governance 
Mike Ferguson, Managing Director, Intelligent Business Strategies Ltd

In order to achieve enterprise data governance, a company needs to invest in people, processes and a suite of technologies that support end-to-end data management activities. This tutorial looks at the business problems caused by poorly managed data, and defines the requirements needed for a company to confidently manage and govern master, transactional, analytic and unstructured data across the enterprise. It then defines an end-to-end methodology to get structured and unstructured data under control.
  • An introduction to enterprise data governance
  • The impact of unmanaged data on business performance
  • Is your data out of control?
  • Key requirements for Enterprise Data Governance (EDG)
  • Creating the right organisational structure to govern data
  • Defining the data to be governed
  • Creating the right processes and policies to govern data
  • A step-by-step best practice implementation methodology to get your data under control
  • Using a data management tools to implement EDG policies and processes
  • Integrating data management and data lifecycle services into your core business processes to drive consistency everywhere
Speaker:
Mike Ferguson

Mike Ferguson
Managing Director
Intelligent Business Strategies Ltd

ArrowTo Speaker's BIO

Arrow

Monday
27 June
8:30-11:45

Data Governance

 

ArrowBack to top

Implementing Successful Governance for Metadata 
Malcolm Chisholm, President, AskGet.com

Every year the volume and scope of metadata increases, but in many enterprises it continues to be managed and a low level of maturity. Data Governance is rapidly gaining wide acceptance as an essential competency, but if it is to be truly successful it must be applied to metadata. This tutorial examines what is required for the governance of metadata. It lists the various categories of metadata that need governance, and the different kinds of governance involved. Governance of metadata stores - repositories - is examined in detail, and are specific kinds of metadata, such as business rules. In addition the presentation examines the roles that stakeholders must play in metadata governance, and how these roles are distributed among the business and IT. Tools and techniques for metadata governance are described. Problems that can arise from lack of governance of metadata are explored, along with how to justify the allocation of resources to metadata governance.

Attendees at this tutorial will learn:

  • How to structure a metadata governance program
  • The special requirements and challenges of metadata governance
  • Approaches to governing metadata repositories
  • Typical roles and responsibilities for metadata governance
  • The Enterprise Information Management (EIM) function's role in Metadata Governance
Speaker:
Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com

ArrowTo Speaker's BIO

Arrow

Monday
27 June
8:30-11:45

Data Governance

 

ArrowBack to top

Understanding and Implementing Data Governance Controls 
Steven Zagoudis, CEO, MetaGovernance Inc.

Information controls and reconciliation procedures are mandatory in today’s regulatory and compliance driven environment. CXO executives are demanding more and more controls prior to automating financial or industry reporting to provide assurance that information is accurate. Most organizations have not connected these controls and procedures to their Data Governance efforts. Organizations waste tremendous opportunity costs by not leveraging their data assets for automated reconciliations. This tutorial changes all that by providing a clear understanding of how Data Governance controls can enhance or replace existing controls, most of which are manual efforts. Attendees will learn the general expectation around the need for controls from the various constituents. We will then explore how to define Data Governance controls and implement them, often with existing technology and procedures. Attendees will walk away with templates and draft procedures that can be implemented when returning from the conference.

This tutorial will focus on:
  • Understanding Data Governance controls.
  • Understanding how Data Governance controls fit with the other controls in your organization (e.g. Sarbanes-Oxley, GAAP, Basel, etc.).
  • Understanding how to define and implement Data Governance controls.
  • Why Data Governance controls can be used to replace existing manual verification and reconciliation processes to gain significant operational efficiency and competitive advantage.
  • Examples of procedural workflow that has been effectively used to incorporate Data Governance controls into ongoing business operations and gain enterprise-wide support for Data Governance.

If you believe information is truly an asset, then engaging the entire business is mandatory. If managing information assets is a business issue, then data governance is a business program, not an IT program. In fact, experience and research shows none of the critical success factors for data governance have anything to do with technology.

Speaker:
Steven Zagoudis

Steven Zagoudis
CEO
MetaGovernance Inc.

ArrowTo Speaker's BIO

Arrow

Monday
27 June
8:30-11:45

Data Governance

 

ArrowBack to top

Driving Your Organization’s Data Governance Program: Direction and Advice for Business Managers 
John Ladley, President, IMCue Solutions
Pamela Thomas, Practice Leader, Organization Development, Blackwell

When business leaders are called upon to "do governance,", they need to learn about concepts like stewardship, data quality, culture change and information management, all while still accomplishing their day-to-day responsibilities.

This tutorial will walk the attendees through the assessment, definition, design and deployment of a data governance program from a business view. There will be no mention of tools, software, or technology.

The tutorial will cover:

  • Assessing readiness for data governance
  • Defining data governance as a business program
  • Aligning data governance with the business’ needs vs. responding to business’ stated “wants
  • Basic functions each data governance organization MUST execute
  • Designing data governance organizations, including how to identify who needs to do what
  • Developing the plan to manage change and sustain the data governance program

This presentation is intended for business leaders or managers that are new to data governance, or for data governance functions that are having trouble engaging as a business program.

Speakers:
John Ladley

John Ladley
President
IMCue Solutions

ArrowTo Speaker's BIO

   
Pamela Thomas

Pamela Thomas
Practice Leader, Organization Development
Blackwell

ArrowTo Speaker's BIO

Arrow

Monday
27 June
8:30-11:45

IDQ

 

ArrowBack to top

A Pragmatic Approach for Assessing Organizational Data Quality Maturity 
David Loshin, President, Knowledge Integrity

Understanding organizational maturity for data quality management helps to identify opportunities for improving data management practices. Holistically, differences in organizational maturity for data quality are gauged by the sophistication of the processes in place for managing the identification of flawed data as well as the levels of capability of those tasked with managing data quality. Organizations tend to be reactive when it comes to resolving issues, meaning that problems are addressed at the time that the impacts have manifested themselves, but long after the failure has occurred. As practitioners become better at employing methods for data error root cause analysis, they become more proactive in identifying and resolving potential issues before negative business impacts can occur. In this tutorial, we provide an overview of the processes, people, and technology that are part of a data quality program, and then explore the concept of a capability/maturity model for data quality management.

Attendees will learn:

  • Characterization of the levels of data quality maturity
  • How to evaluate capabilities as a way of assessing the organization’s capability/maturity level
  • Details about the life cycle of a data quality program
  • How the organization transitions from one that is reactive into one that is proactive in ensuring high quality data
Speaker:
David Loshin

David Loshin
President
Knowledge Integrity

ArrowTo Speaker's BIO

Arrow

Monday
27 June
8:30-11:45

IDQ

 

ArrowBack to top

Linking Data Quality Metrics to Business Value and Risk
Walid el Abed, Founder President, Global Data Excellence Limited

This tutorial presents a proven methodology to linking and aligning business excellence with data excellence. A foundation of the methodology is a "show me the money" focus on delivering tangible business value faster based on a long-term sustainable business excellence vision.

Whereas traditional data quality approaches methods often focus on master data, this methodology places business transactions at the center of data quality.

Topics that will be covered include:
  • Aligning and linking data quality requirements with business excellence requirements.
  • Measuring and visualising the tangible risk and value of poor and good data quality.
  • Governing the risk and value of data quality for business performance
Speaker:
Walid el Abed

Walid el Abed
Founder President
Global Data Excellence Limited

ArrowTo Speaker's BIO

Arrow12:00 - 12:30 GOVERNANCE AND IQ SOLUTIONS

Monday
27 June
12:00–12:30

 

ArrowBack to top

Going from 0 to 60: How to Get up and Running with your Data Governance Program...FAST
Mike Wheeler, Director, Data Governance Solutions, Kalido


Starting a data governance program can seem like a monumental task. But it *is* possible to turn bad data into a trusted information asset - in 60 days or less. Seem impossible? With careful planning, the right business issue, and a carefully managed scope, you can get your program delivering tangible improvements to business processes in almost no time at all.

In this session, attendees will learn how to:

  • Build a defensible business case to garner executive sponsorship
  • Identify the right critical business issue as the starting point for your data governance program
  • Set the scope of your first governance initiative for greatest success
  • Structure, define, communicate and monitor data policies related to your first initiative
Speaker:
Mike Wheeler

Mike Wheeler
Director, Data Governance Solutions
Kalido

ArrowTo Speaker's BIO

Arrow

Monday
27 June
12:00–12:30

 

ArrowBack to top

Data Quality, MDM and Data Governance in a Retail Bank: From Compliance to Better Customer Service
Jakub Bartak, Sr. Consultant, Ataccama Corp


The presentation will cover how GE Money Bank implemented a multi-phase data quality and data governance solution in an ODS/DWH environment to achieve Governance, Risk and Compliance (GRC) objectives. The project, part of a larger SOA and data architecture initiative, combines data from several lines of business including retail accounts, consumer loans and leasing to create a single customer view. By integrating a data quality hub within its transactional messaging platform, GE Money Bank is able to cleanse and keep data current in real-time fulfilling regulatory reporting requirements. Meeting initial success criteria for compliance, project benefits expanded to improving customer relationships and profitability. In this session attendees will also experience firsthand a brief live demonstration of an integrated Data Quality/MDM platform. Learn how applications built on a unified codebase provide data management professionals the ability to profile and analyze data; cleanse, standardize and match records; customize rules to fit business needs; generate reports and resolve exceptions in a comprehensive data governance workflow.
Speaker:
Jakub Bartak

Jakub Bartak
Sr. Consultant
Ataccama Corp

ArrowTo Speaker's BIO

Arrow

Monday
27 June
12:00–12:30

 

ArrowBack to top

Getting Started with Data Governance: Tips for Making Data Governance a Reality
Oliver Claude, Vice President, Product Marketing, Informatica Corporation


Data Governance is on the minds of most organizations these days. Companies are increasingly turning to data governance in an attempt to unlock trusted data, turning enterprise information into a key strategic asset. But making data governance a reality is easier said than done. Many efforts face significant organizational or technology barriers to never yield the desired result. Join Informatica for this informative discussion on tips for making data governance a reality. We’ll examine common barriers in more detail, tips for getting over them, and how the right technology platform can help.
Speaker:
Oliver Claude

Oliver Claude
Vice President, Product Marketing
Informatica Corporation

ArrowTo Speaker's BIO

Arrow

Monday
27 June
12:00–12:30

 

ArrowBack to top

Leveraging Data Quality for Master Data Management
Vincent Lam, Product Marketing Director, Information Builders


Master Data Management and Data Quality are critical components of Information Management. While each tackles a different problem, the results are utilized across both solutions. In this session, we discuss how this relationship can be effectively leveraged when approaching Master Data Management
Speaker:
Vincent Lam

Vincent Lam
Product Marketing Director
Information Builders

ArrowTo Speaker's BIO

Arrow

Monday
27 June
12:00–12:30

 

ArrowBack to top

Data Management and Anatomy
Ian Rowlands, Sr Director of Strategy, ASG


The heart, lungs,  liver and kidney – all the human vital organs – are the finest component systems ever designed! They do a fantastic job … but none of them work at all well if asked to operate independently. Join ASG as we discuss the “vital organs” of  Data Management, and the critical “Central Nervous System” that ties them all together! We’ll discuss Business Glossary, Master Data Management and other critical systems, and the key structure that provides common direction to them all.
Speaker:
Ian Rowlands

Ian Rowlands
Sr Director of Strategy
ASG

ArrowTo Speaker's BIO

1:30 - 4:45 AFTERNOON TUTORIALS

Monday
27 June
1:30–4:45

Data Governance

 

ArrowBack to top

Enterprise Data Governance and Master Data Management
Mike Ferguson, Managing Director, Intelligent Business Strategies Ltd

This half-day tutorial focuses on the use of enterprise data governance in governing master data. In particular it looks at the people, processes, policies and technologies needed to do this. At the centre of this tutorial is a continuous improvement methodology used to define, model, locate, map, clean and integrate master data so that it can be shared across operational and analytic applications to improve processes and decision-making. In addition it covers how to protect master data once it is clean and integrated to make it fit for business use. Finally it looks at how a data management platform used to govern data can be integrated with MDM technologies to support the end-to-end data management activities needed to govern and maintain master data for the long term.
  • An introduction to enterprise data governance
  • The importance of master data in process improvement and decision making
  • Is your master data out of control?
  • Key requirements for governing master data and transaction data
  • Master data management as a key data governance initiative
  • Creating the right organisational structure, processes and policies to govern master data
  • A continuous improvement methodology to get your data under control
  • What are Data management platforms and how do they integrate with MDM products
  • Approaches to implementing MDM
  • Understanding master data maintenance in your enterprise
  • Using a data management platform tools and MDM products to govern, create and maintain master data in a multi-domain MDM system Understanding master data maintenance in your enterprise
  • Controlling outbound synchronization of master data with operational and analytical systems to improve processes and decision making
  • Managing the switch to centralized master data entry as part of an enterprise data governance program
Speaker:
Mike Ferguson

Mike Ferguson
Managing Director
Intelligent Business Strategies Ltd

ArrowTo Speaker's BIO

Arrow

Monday
27 June
1:30–4:45

Data Governance

 

ArrowBack to top

Operational Data Governance: Business Policies, Information Requirements, and Auditable Compliance
David Loshin, President, Knowledge Integrity

A key objective of establishing a data governance board and engaging data stewards is ensuring compliance with data policies linked to corporate business objectives. However, data governance cannot be operationalized through the creation of an organizational structure alone unless operational data management practices are aligned with the corporate business goals. Bridging the gap between business policy and data governance requires a corresponding processes for isolating information requirements from documented policies coupled with business policies related to information management techniques.

This workshop presents four operational data governance processes:
  • Refining information requirements from business policies
  • Linking embedded metadata for business terms, definitions, and constraint to the specific business policy
  • Developing information policies
  • Implementing auditable methods for monitoring compliance with information policies

The interactive component applies these processes by reviewing a selection of business policies incorporated within government regulations, industry organization directives, and internally-defined business policies, demonstrating an agile approach to business policy definition aligned with operational data governance capabilities.

Attendees will take away these skills:

  • Information policy definition
  • Implementation within a data governance framework
  • Enforcement of policies and monitoring compliance
  • Continuous maintenance of relationship between business policies and information requirements
Speaker:
David Loshin

David Loshin
President
Knowledge Integrity

ArrowTo Speaker's BIO

Arrow

Monday
27 June
1:30–4:45

Data Governance

 

ArrowBack to top

Coordinate, Facilitate, Communicate-The Role of the Data Governance Manager and Director
Martha Dember, Solution Partner, EMC Consulting

In most organizations the Data Governance Manager or Director is the one full time position dedicated to the data governance program, at least when it is first becoming instantiated. This session is to review in full, the role and responsibilities of establishing and sustaining a company-wide data governance structure that includes defining data ownership and stewardship, coordinating supporting technologies and organizing business operations to ensure data is being managed as a key asset of the company.

Attendees will learn successful approaches on how to:

  • Define and drive consensus on the guiding principles and execution strategy for the Data Governance program
  • Establish the enterprise Data Governance organization and define the day-to-day operating model
  • Onboard, train and supervise data professionals within the new organization
  • Drive the development and adoption of data management policies and standards
  • Sponsor and oversee the delivery of data management projects and services
  • Define and implement a data quality operating framework, based on industry best practices and Elsevier specific goals, to manage and resolve data related issues
  • Develop key messages and define the plan to communicate successes and continuously promote the value of the Data Governance program
Speaker:
Martha Dember

Martha Dember
Solution Partner
EMC Consulting

ArrowTo Speaker's BIO

Arrow

Monday
27 June
1:30–4:45

Data Governance

 

ArrowBack to top

Maturing the Data Governance Competency for Financial Services
Malcolm Chisholm, President, AskGet.com

Financial services have been early adopters of data governance, and have experienced some of the pain of early adoption. This tutorial examines many of the lessons learned and how data governance programs can now be matured. Particular emphasis is placed on the three main master data entities of finance: Customer; Account; and Financial Instrument. However, more general governance issues, particularly those involved with data quality assurance are also covered. So too is attempting to deal with uncontrolled "spreadsheet cultures". Recent developments in the regulatory environment and their consequences are also described, together with some industry initiatives. The structures of data governance units, and their migration from IT into business areas is also discussed. Globalization of finance and its implications for governance are dealt with.

Attendees will learn:

  • The major areas where data governance is needed in the financial sector, and lessons learned from prior governance initiatives.
  • A more modern approach to implementing governance for major financial data entities
  • How governance can address the issues of financial data quality and end-user computing
  • The impact of recent regulatory reform and ongoing industry initiatives
  • How to achieve governance in a global context
Speaker:
Malcolm Chisholm

Malcolm Chisholm
President
AskGet.com

ArrowTo Speaker's BIO

Arrow

Monday
27 June
1:30–4:45

IDQ

 

ArrowBack to top

Data Profiling – An Information Quality Fundamental 
Danette McGilvray, President and Principal, Granite Falls, Inc

Data profiling is a fundamental technique for understanding the existence, validity, structure, content, and other basic characteristics of data. If you don’t know anything else about your data, you need to know what data profiling tells you. While it is not the only aspect of data quality that you care about, every other data quality dimension builds on what is learned from profiling.

Join us to learn the answers to these important questions: How do you perform data profiling? How do you use results to improve information quality? Who does data profiling and when? What is NOT data profiling? How do you move from one-time or ad-hoc profiling to ongoing monitoring?

This session is useful for those in business, data, or technology roles because all have a part to play in implementing data profiling successfully.

Topics include:

  • The who, what, where, when, why, and how of data profiling
  • How to use results for informed decisions and effective action
  • Tools and techniques for data profiling
Speaker:
Danette McGilvray

Danette McGilvray
President and Principal
Granite Falls, Inc

ArrowTo Speaker's BIO

Arrow

Monday
27 June
1:30–4:45

IDQ

 

ArrowBack to top

Advanced Techniques for Proactive TIQM: Proven Tools for Information Quality Management
Larry English, President, INFORMATION IMPACT International, Inc.

In this half-day tutorial you learn how to apply three proven tools for helping you manage and improve information quality processes:
  1. Defining Knowledge Workers' Requirements for Information using the SIPOC (Supplier-Input-Process-Output-Customer) Diagram
  2. How to analyze Root-Cause using the Ishikawa-English Diagram
  3. Improving Information Processes through the Shewhart Plan-Do-Check/Study-Act Cycle to eliminate the Root Cause(s) and prevent further defects

World-Class companies routinely use these proven quality techniques. In this tutorial you learn how to apply them to improve and sustain information processes.

Speaker:
Larry English

Larry English
President
INFORMATION IMPACT International, Inc.

ArrowTo Speaker's BIO

Arrow5:00 - 6:00 How-to Forums

Monday
27 June
5:00–6:00

Data Governance

 

ArrowBack to top

Enhancing Risk Management of Test Data via Effective Data Governance
Craig Laufer, QA Engineer, Erie Insurance Group


Imagine having a mature data governance framework, state-of-the-art security around mission critical data, and a privacy statement backed up strong policies - yet still getting blindsided by a significant data breach. How? Because of weaknesses in an often overlooked area: your test data.

When data governance does not extend to test data, the following issues often arise:
  • Customer PII (Personally Identifiable Information) in test environments
  • Privacy policy violations originating from your IT department
  • Offshore resources with greater access rights than intended

Yet passing a rigid policy like: "You shall never use any type of Production data in test environments" can have severe productivity ramifications. How can the effective use of data governance in your testing environments help to mitigate risk without adding an impractical amount of overhead?

This presentation will focus on real-life experiences and best practices that will help guide you to a more robust data governance framework.

Speaker:
Craig Laufer

Craig Laufer
QA Engineer
Erie Insurance Group

ArrowTo Speaker's BIO

Arrow

Monday
27 June
5:00–6:00

Data Governance

 

ArrowBack to top

Life, Liberty and the Pursuit of Data!  A Constitutional Democracy approach to Data Governance at the UW
Bill Yock, Director of Enterprise Information Services, University of Washington


The University of Washington has created a "constitutional democracy" approach to governance of data management practices. The UW Institutional Data Management Standards document serves as our base "constitution" setting forth fundamental principles, definitions and responsibilities. It establishes three primary governance bodies of Data Trustees, (Executive branch) Data Custodians (Judiciary branch) and the Data Management Committee (Legislative branch). The rules of law are established by fundamental principal statements (a Bill of Rights) as well as guideline documents (Amendments). Legislative districts were established by drawing up jurisdictions using a "Data Map" that indicate system and business domains. This constitutional democracy approach has stood the test of time and proven itself to be a sustainable and repeatable process serving the citizens of the data republic well.
Speaker:
Bill Yock

Bill Yock
Director of Enterprise Information Services
University of Washington

ArrowTo Speaker's BIO

Arrow

Monday
27 June
5:00–6:00

Data Governance

 

ArrowBack to top

Implementing Successful Governance for a Data Quality Program in a Large-Scale Master Data Environment
Victoria Winningham, Principal, Metalethia LLC


Financial services firms realize that successful Master Data Management (MDM) needs to address data quality, but data quality in turn needs a lot of data governance. This presentation describes the key elements of governance for data quality in a large financial services environment.

The overwhelming trend is to use rules engines to test for data quality, but these have little inbuilt governance capabilities. The inability to govern the data quality rules means enterprises quickly lose track of what data they are measuring for what quality attributes and where and when it is being done. The presentation addresses these issues. Likewise, when quality exceptions are found, they need to be reported differently to different stakeholder communities, and follow-up requires governance. This too is described.

MDM has very special needs in the Client area, such as Know Your Customer (KYC) and Anti-Money Laundering (AML). Translating such policies and regulations into rules is described. It is also necessary to audit these rules to prove to certain stakeholders that they are executing correctly, and an approach for this is also provided.

Participants will learn:
  • Why data quality programs for MDM need data governance.
  • How to implement data governance for data quality rule definitions.
  • How to deal with aligning
  • Some of the specifics of governance for implementing regulatory and legal requirements for MDM in financial services
  • How to approach auditing the execution of data quality rules to prove they are performing in accordance with legal and regulatory requirements
Speaker:
Victoria Winningham

Victoria Winningham
Principal
Metalethia LLC

ArrowTo Speaker's BIO

Arrow

Monday
27 June
5:00–6:00

Data Governance

 

ArrowBack to top

The Business Case for Data Governance - What every Executive Needs to Know
Nigel Turner, Data Quality Consultant, Trillium
Sarah Kohler, Director, Trillium Software


Arguably the most fundamental and complex aspect of data governance is communicating a compelling business case that CxO’s can actually buy into, relate to, and comfortably endorse. It is no secret that the more effectively you can demonstrate the business value of data governance, the stronger the executive support, funding, and ability to sustain the program going forward.

Data governance is an unconventional discipline that demands a unique approach in identifying and demonstrating its value to each and every organization. As important as the business case is, the actual approach one takes to building and communicating it may be even more important at the outset. Organizations that recognize this early on, and effectively roll out the case and value benefits, are far more likely to achieve success.

In this seminar, attendees will learn to break down and communicate the business case for data governance by understanding:
  • Where to look for business value
  • How to define and strongly position tangible and intangible opportunities
  • How to position enterprise vs. project based benefits
  • How to measure and illustrate return on investment
  • Communicating the business case to stakeholders and business leaders

We will include customer case studies that showcase how companies were able to secure executive buy in for their data governance plans. These best practices can be applied to current company data governance planning efforts in order to secure the budget and commitment from executive management.

Speakers:
Nigel Turner

Nigel Turner
Data Quality Consultant
Trillium

ArrowTo Speaker's BIO

   
Sarah Kohler

Sarah Kohler
Director
Trillium Software

ArrowTo Speaker's BIO

Arrow

Monday
27 June
5:00–6:00

IDQ

 

ArrowBack to top

How to Establish Data Quality and Governance in a Human Resources Environment: Lessons learned at Industry Canada
Victor Chiasson, Senior Human Resources Data Quality Analyst, Industry Canada


This case study describes the challenges of Data quality program implementation using practical examples from the Human Resources world. While the experiences drawn upon are particular to HR, the principles are applicable to any organization’s corporate data holdings.

Topics include:

  • Report generation as a Data Quality health index
  • “Black booking” of data
  • Data Quality issue taxonomy
  • Data Quality issue assessment form
  • Data confrontation tools
  • Building Data Governance working groups
  • Establishing a metadata registry
  • Transition from crisis management to resource development
  • Lessons learned - barriers to transition
Speaker:
Victor Chiasson

Victor Chiasson
Senior Human Resources Data Quality Analyst
Industry Canada

ArrowTo Speaker's BIO

Arrow

Monday
27 June
5:00–6:00

IDQ

 

ArrowBack to top

How to Design A Data Validation Rules  Framework to Reap Big Rewards for Your Company
Victoria Sterzick, Information Architect, Alticor Corporation
Sally Gerber, Information Architect, Amway Corporation


This presentation will provide insight into how designing a data validation rule program creates a common focus and promotes a feeling of partnership with the business process owners, facilitates the writing of critical reconciliation reports, and establishes a baseline of data quality for the migrated data within their new environment. Included within this topic will be tips on how to write meaningful data validation rules (DVR’s), creating data quality scoring for critical data elements, and designing a data quality signoff report before go live time.

Finally, this presentation will provide some comical, if not downright irreverent, ideas on how to promote the concept of data quality in your company; even if it is not on your up line’s radar or in the budget. Learn how reindeer antlers, gift bags of P.O.O.P. to the CIO and an original Christmas carol promoting the benefits of completing a data architectural review before beginning any IT project can jumpstart the conversation about data quality in your company!
Speakers:
Victoria Sterzick

Victoria Sterzick
Information Architect
Alticor Corporation

ArrowTo Speaker's BIO

   
Sally Gerber

Sally Gerber
Information Architect
Amway Corporation

ArrowTo Speaker's BIO

Arrow

Monday
27 June
6:15–7:45

 

ArrowBack to top

Evening Reception Sponsored by Kalido


Kalido, a Platinum sponsor of the Data Governance and Information Quality Conference, invites you to an evening reception on Monday, June 27 beginning at 6:15 p.m. Cocktails, appetizers and live entertainment will be served against the sweeping panorama of Mission Bay.
Arrow