WI DAMA March 6 Event

Network with other Data Management Professionals and listen to featured speaker Danette McGilvray on Data Quality Metrics.

Harley Davidson - Juneau Avenue facility
HDU Entrance
1147 N. 38th St
Milwaukee, WI 53201

Harley Campus Map.png

Thank you to our sponsors!


Title: Supporting Business Needs through Data Quality Metrics


8:00 to 8:30 - Registration, Breakfast & Networking
8:45 to 9:00 - WI DAMA Updates
9:00 to 9:30 - Sponsor Presentations
9:30 to Noon - Featured Speaker: Danette McGilvray
Noon to 12:15 - Closing Remarks

How can a Data Quality leader: a) convincingly demonstrate the business value of high quality data, b) align data quality activities with business goals, and c) clearly define success and incentivize the right behaviors? These are fundamental challenges and opportunities most data practitioners struggle with routinely. 

A well-defined approach to data quality metrics provides actionable insights about the most important data on which your organization depends and suggests desired interventions needed to improve results. Metrics provide visibility to data quality issues so we can react quickly when they arise. Those same metrics can show us where things are working so we can confidently turn our attention to other priorities.  There is also an art to metrics – understanding that metrics change behavior and designing them so you promote the behavior you intend. 

This presentation will be beneficial to those seeking to enhance the value and effectiveness of their data quality function. Participants will leave equipped with robust techniques to develop or polish their data quality metrics and turn them into effective action. 

Participants will learn and have a chance to discuss: 

  • The process for developing metrics and how to show the cost of poor quality data
  • A variety of real-life examples of data quality metrics
  • The importance of connecting metrics to organizational goals and business needs
  • How to avoid the most common measurement traps
  • Metrics as the foundation for improvement
Danette McGilvary_19hc-head.jpg

Danette McGilvray is president and principal of Granite Falls Consulting, a firm that helps organizations increase their success by addressing the information quality and data governance aspects of their business efforts. Focusing on bottom-line results, Granite Falls' strength is in helping clients connect their business strategy to practical steps for implementation. Data quality and governance are always tied to an organization's goals, issues, and opportunities, with communication and the human aspect of work also being emphasized. Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ (Morgan Kaufmann, 2008). An internationally respected expert, her Ten Steps™ approach has been embraced as a proven method for managing data quality in any organization. A popular speaker, she has taught her courses in several countries. Her book has been translated into Chinese and is being used as a textbook in university graduate programs. Contact her at danette@gfalls.com. For more info see www.gfalls.com; Twitter: @Danette_McG, LinkedIn: Danette McGilvray.

WI DAMA December 12 Event

Network with other Data Management Professionals and listen to featured speaker Bruce McCartney on Data Integration and Warehousing using the Data Vault.

Thank you to our sponsors!


American Family Insurance
Building A - Cafeteria (lower level)
6000 American Parkway
Madison, WI 53783


8:00 to 8:30 - Registration, Breakfast & Networking
8:45 to 9:00 - WI DAMA Updates
9:00 to 9:15 Sponsor - Vantiq
9:15 to 11:30 - Bruce McCartney - Data Integration and Warehousing using the Data Vault
11:30 to 11:45 Sponsor – Wherescape
11:45 to Noon Sponsor - PG2
Noon to 12:15 - Closing Remarks

This presentation will introduce the concept of the data vault and discuss how and why it is useful for data warehousing and integration initiatives. The data vault 2.0 is a BI system and reference architecture developed by Dan Linstedt to facilitate rapid, incremental build of data warehouses; and is recommended by Bill Inmon.  The audience will receive an introduction to the concepts involved in developing a data vault as well as overview of how this approach fits in with enterprise data warehousing/ integration and business intelligence.  In addition, the audience will learn about one use case involving the use of a Business Rules Engine to promote agility in application of complex business rules.


Speaker Bio: 
An expert in database design, performance tuning, replication, high availability and security, Mr. McCartney is an excellent problem solver and enjoys sharing his knowledge with clients. His professional background is extensive, including 25 years of involvement with Oracle. Bruce is an Oracle 12G Certified Professional (OCP) as well as a Certified Data Vault 1.0 Modeler and Data Vault 2.0 Certified Trainer. Mr McCartney has been working with Data Vaults for over 11 years.

WI DAMA September 26 Event

Network with other Data Management Professionals and listen to featured speaker Laura Sebastian-Coleman on Data Quality.

Experts agree that to improve data quality, you must be able to measure data quality.  But determining what and how to measure is often challenging. This seminar will provide participants with a comprehensive and adaptable approach to data quality assessment. 

Thank you to our sponsors!

American Family Insurance
Building A - Auditorium
6000 American Parkway
Madison, WI 53783


8:00 to 8:30 - Registration, Breakfast & Networking

8:30 to 8:45 - WI DAMA Updates

8:45 to 9:15 - Sponsors

9:15 to 11:15 - Laura Sebastian-Coleman, presents “Measuring Data Quality for Ongoing Improvement”

11:15 to 11:30 - Closing Remarks

Title: Data Quality Assessment and Measurement

Experts agree that to improve data quality, you must be able to measure data quality.  But determining what and how to measure is often challenging. This seminar will provide participants with a comprehensive and adaptable approach to data quality assessment. 

  • The challenges of measuring data quality and how to address them. 
  • DQ assessment in context: Understand the goals and measurement activities and deliverables associated with initial assessment, in-line measurement and control, and periodic reassessment of data. Review a template for capturing results of data analysis from these processes. 
  • Initial Assessment: Review an approach to initial assessment that allows capture of important observations about the condition of data. 
  • Defining DQ requirements: Learn how to define measurable characteristics of data and establish requirements for data quality. Review a template designed to solicit and document clear expectations related to specific dimensions of quality.
  • Using measurement for improvement: Share examples of measurements that contribute to the ongoing improvement of data quality. 

Laura Sebastian-Coleman Bio
Laura Sebastian-Coleman, Data Quality Center of Excellence Lead at Cigna, has worked on data quality in large health care analytic data warehouses since 2003. Cigna is a global health service company dedicated to helping people improve their health, well-being and sense of security. Laura has implemented data quality metrics and reporting, launched and facilitated data quality working groups, and contributed to data consumer training programs. She has led efforts to establish data standards and to manage metadata for large analytic data warehouses. In 2009, she led a group of analysts at Optum in developing the original Data Quality Assessment Framework (DQAF) which is the basis for her book "Measuring Data Quality for Ongoing Improvement" (Morgan Kaufmann, 2013). She is the DAMA Publications Director and is the 2015 recipient of the IAIDQ Distinguished Member Award.

WI DAMA June 15 Event

Network with other Data Management Professionals and listen to featured speakers on the following topics:

  • Mastering Master Data Using a Service Operating Model
  • Measuring Enterprise Information Management: Progress vs. Real Impact

Thanks to our event sponsor:

Location (Map)
American Family Insurance - C Building
6000 American Parkway
Madison, WI 53783

8:00 to 8:45   - Registration, Breakfast & Networking
8:45 to 9:00   - WI DAMA Updates
9:00 to 9:15   - Sponsors
9:15 to 11:00 – Frank Cerwin, Data Mastery, Inc. 
11:00 – 11:15 – Break
11:15 – 12:15 – Natalie Greenwood, First San Francisco Partners
12:15 to 12:30 – Closing Remarks  

Speaker #1: Frank Cerwin, Data Mastery, Inc. 


Session Title:  Mastering Master Data Using a Service Operating Model
A successful MDM program ensures that the key attributes within operational processes, analytics, and customer information are available, accurate, and secure.  If successful, MDM will be considered the “center of the universe” in your organization’s data ecosystem.  Despite its importance, many organizations struggle to either launch or grow and sustain their MDM programs.  In most cases this is a result of the program structure and processes rather than the technology.  This tutorial will cover: 

  • Case studies of two successful MDM programs in Fortune 500 companies. 
  • Lessons learned from the implementations of customer, product, location, and party master data domains.
  • How to operate a MDM program as a self-sustaining service within your organization.
  • Embedding data governance and data quality within the operating model. 

Bio:  Frank Cerwin is the President and Principal of Data Mastery Inc., a firm focused on Master Data Management (MDM) strategy, design, and education.  Frank has successfully designed, launched, and grown MDM programs from the ground-up at McDonald’s and JPMorgan Chase.  His unique model to implement and run a sustainable MDM program is based on over 35 years of architecture and leadership experience with MDM, multi-channel applications, customer analytics, IT security, data management, and eCommerce.  Frank has attained ITIL certification and is a Six Sigma Green Belt.   

Speaker #2: Valarie Torstenson, First San Francisco Partners

Valerie Torstenson Headshot.JPG

Session Title: Measuring Enterprise Information Management: Progress vs. Real Impact
Is your Enterprise Information Management (EIM) program working? Are executive sponsors and key stakeholders happy? Have you translated your program’s data value into business value? 
How do you know? 
When it comes to quantifying EIM success, metrics can help you establish a baseline, track your progress against goals, align expectations and even defend change (or additional funding!).

In this session, Natalie will provide tips and best practices for:

  • Understanding why metrics are important and how to create them
  • Identifying a list of example metrics to consider (including progress metrics and true KPIs)
  • Communicating effectively with stakeholders to maintain alignment and commitment
  • Implementing a measurement process focused on creating business value

Bio: Valerie is a seasoned Information Management professional with 30+ years of results-oriented management and information systems experience. She has led visible information strategic planning efforts as well as information management strategy and implementation initiatives. She has also directed teams in extremely turbulent industries in systems development, systems development methodologies and program and project level management.
With a strong business alignment mantra, her experience spans all aspects of enterprise information management including governance, data architectures, Master Data Management, data quality, data movement, unstructured content and knowledge management, organizational design, business intelligence and analytics, among others. She has performed as acting CIO, DVP and Director in various industries including retail, financial services, public sector (e.g., education, county government), insurance, pharmaceutical and healthcare industries (e.g., payer and provider).

MarkLogic World 2017 | Chicago

MarkLogic World is where business leaders and technologists gather to connect, learn, and discover how to get the most out of the world’s best database for integrating data. This year you’re invited to Chicago, Illinois to immerse yourself in keynotes, breakouts, courses, and workshops.

Why Attend?
Connect with the global MarkLogic community
Learn about the latest features and benefits
Discover best practices for success with MarkLogic

What’s the Schedule?
May 15 – MarkLogic University Courses*
May 16 – Keynotes and Breakout Sessions
May 17 – Keynotes and Breakout Sessions
May 18 – Workshops*
*Days 1 and 4 are intended for beginner and expert users that want additional training

What Will the Talks Cover?
We have an amazing line-up of speakers including executives from Fortune 500 organizations and top database engineers, all giving talks focused on data integration, security and data governance, infrastructure, and the cloud.

Who Should Attend?
We will have content intended for business leaders that are working on enterprise data integration projects, and technical content aimed at Developers, DBAs, Architects.

WI DAMA March 2 Event

Network with other Data Management Professionals and and hear Data Governance Case Studies from American Family Insurance, Walgreens and West Bend Mutual Insurance.

Location (Map)
West Bend Campus - Prairie Center Building
1900 S. 18th Avenue
West Bend, WI 53095

8:00 to 8:45         – Registration, Breakfast & Networking
8:45 to 9:00         – WI DAMA Updates
9:00 to 9:30         – Sponsors
9:30 to 10:20       – Data Governance Journey at West Bend Mutual, Paul Pries, Director of Data Governance, West Bend Insurance

Abstract:  The data governance journey for West Bend Mutual began just a little over four years ago.  Paul Pries who leads the data governance organization will share the journey to date.  He will speak about what has been accomplished, lessons learned and what lies ahead for the data governance organization.  He will present how data governance has helped with their multi-year initiative to build a new policy administration platform as well as an Enterprise Data Warehouse.

Bio: Paul has worked in the property casualty insurance space for his entire career.  Paul has always held positions with a data focus.   Most recently he has spent the last four years as the Director of Data Governance for West Bend Mutual.  At West Bend, Paul leads a small team helping to implement Data Governance.  Prior to joining West Bend Mutual, Paul was a Data Quality Manager for QBE insurance.  While at QBE, Paul worked with a team of individuals to establish a Data Governance practice for the North America unit of QBE.               

10:20 to 10:30    – Break

10:30 to 11:20    – A Case Study:  Walgreens Boots Alliance Data Governance, Janet Lichtenberger, Director – Data Governance, Walgreens Boots Alliance

Abstract: The data governance organization at Walgreens Boots Alliance has evolved over the years, and has adapted repeatedly to a changing and globalizing organization.  In this case study, we will discuss the history of the program, and the ways that it has changed over the years.   We also review some of the ways we have adapted to change and globalization - strategies that have worked.  We will discuss how we have focused on keeping key data a priority, and bringing meaningful value to the enterprise.  In this session, we will share real world experiences, strategies and approaches to managing through continuous change.

Bio:   Janet Lichtenberger is a data management professional with over 20 years of experience. She has held a variety of roles, including data governance, program/project management, and client relationship management. She is a frequent speaker at industry conferences, is the V.P. of Operations for DAMA Wisconsin, and is the Director of Global Data Governance at Walgreens Boots Alliance.

11:20 to 11:30    – Break

11:30 to 12:20    – A Case Study:  American Family Insurance Data Governance, Lydia Reid, Information Standards and Governance Manager, American Family Insurance

Abstract: Lydia will share the history of data governance at American Family Insurance only with key areas of focus and how the function has evolved over time.  She will share successes and lessons-learned and plans for the future.

Bio: Joined American Family Insurance's new Enterprise Data Management department in November 2013 as AmFam’s first Metadata and Reference Data Manager. Lydia and her team have implemented and populated a centralized metadata repository tool for both technical and business metadata and created standards and processes to populate AmFam's common business vocabulary. She and her team also manage a reference data management ecosystem. At the end of 2015, Lydia took over the management of information governance and is now AmFam’s Information Standards and Governance Manager. 

Lydia spent the majority of her early career at the National Archives in Washington, DC where she was the product owner of the agency's first centralized, descriptive catalog for the nation’s federal and presidential historical records. While at the National Archives, she led the effort to establish metadata standards and represented the Archives on several national and international metadata standards' committees. 
Lydia has a BA and MA in History from Washington and Lee University and the University of Virginia, respectively. She also has a Masters in Library and Information Science from the University of Maryland.

12:20 to 1:00       – Lunch
1:00 to 2:00         – Data Governance Panel Discussion
2:00 to 2:15         – Wrap up

WI DAMA December 1 Event

Event Sponsor

Featured speaker: Melanie Mecca

Featured speaker: Melanie Mecca


Kohl's Innovation Center - Training Rooms
W165 N5830 Ridgewood Drive
Menomonee Falls, WI 53051


8:00 to 8:45   - Registration, Breakfast & Networking
8:45 to 9:00   - WI DAMA Updates
9:00 to 9:15   - Sponsors
9:15 to Noon   - Featured speaker
Noon to 12:15 - Wrap up

Data Management Maturity (DMM) Synthesizes Your Career

Our industry is continually building capabilities based on its considerable accomplishments over the past decades.  Some of the (roughly) sequential milestone markers that organization have experienced include: data design, data administration, data architecture / warehousing, data quality and governance, MDM, and predictive analytics using both structured and unstructured data. 
So why haven’t organizations attained DM perfection?  As we know, the data layer in most organizations grew project by project to meet specific needs of a line of business. Best practices were not often shared, useful work products languished in project repositories, etc. – and above all, organizations didn’t commit to managing data as a critical enterprise asset.  As this situation improves, you can be a successful advocate for ‘A Better Data World.’ 

The Data Management Maturity (DMM)SM Model’s primary goals are to accelerate organization-wide DM programs by:  providing a sound reference model to quickly evaluate capabilities, strengths and gaps; accelerating business engagement; forging a collaborative vision; and identifying key initiatives to extend existing capabilities while building new ones – leading to efficiency, cost savings, creativity, and improved data quality.  

In this seminar, we’ll address:
•    Data Management Capabilities and Maturity Evaluation
•    The DMM in action – interactive exercise
•    Case study examples – how organizations accelerate their progress
•    How to leverage Data Management Maturity to empower your career. 

Ms. Mecca, CMMI Institute’s Director of Data Management Products and Services, is the managing author of the Data Management Maturity (DMM) SM Model.  Her team created a business-centric method for assessing an organization’s capabilities via the DMM, and she leads Assessments for organizations in multiple industries.  Ms. Mecca directed development of three successive courses leading to the Enterprise Data Management Expert certification, and web-based learning.  She frequently presents at conferences and webinars, and is a contributing columnist to The Data Administration Newsletter. Based on 30+ years solving enterprise data challenges, Ms. Mecca advocates measurement of data management capabilities as the best acceleration path for empowering governance, achieving business value, and advancing the organization’s business strategy. 

WI DAMA September 22 Event

8:00 to 8:45   - Registration, Breakfast & Networking
8:45 to 9:00   - WI DAMA Updates
9:00 to 9:15   - Sponsors
9:15 to Noon   - Tony Mazzarella, Death Star II - Too Big to Fail
Noon to 12:15 - Wrap up

The Death Star II was a "Too big to fail" project that, you all (hopefully) know failed miserably. Like many large projects, it faced many issues : Management pressure to rebuild after the destruction of the first Death Star at the Battle of Yarin, Project management failures that put the project over budget and behind schedule  and  perhaps most critically (as this data professional would argue), significant failures in Data and Enterprise (Imperial) Information Management. In this case, the impacts were quite literally 'universal' and came at a cost of an estimated 485,000 lives and 1,000,000,000,000 galactic credits (currency).

This real world case study of the fictional Death Star II serves as a relevant  example of the criticality of Data Management, Information Security and Enterprise Information Management in large enterprise initiatives.

Tony Mazzarella is currently serving his second term as VP of Online Services for DAMA International, a role he also holds with his local DAMA New England chapter. Most of Tony’s 15+ year career has been in the digital space as a developer, strategist and more recently, as an executive. In 2015 Tony made a conscious decision to pursue a more formal enterprise data career path, one that could leverage his technical and leadership background. Shortly after he found his current role as a digital analytics service manager, architect, data governance lead and data steward in the financial services industry.  His specialized team provides advanced digital analytics strategy and support, KPI’s and measurement to dozens of business and application teams across the enterprise. Tony loves to geek out at industry events and is a sought after speaker on digital strategy, data management and analytics. When he’s not in front of a computer or a PowerPoint, he’s at home in Connecticut with his 3 kids and 2 step kids, listening to music and enjoying a high-quality microbrew.


Featured speaker, Don Soulsby.

Event Sponsors:

Integrating the Business Glossary into the Data Management Lifecycle

You Say Info, I say Data… We can’t call the whole thing off
-    The search for the elusive Critical Data Element

As the old song goes “You say to-moh-toe, and I say to-mah-toe”, but unfortunately Business and IT can’t afford to call the whole thing off. There is an ever increasing need to develop a process that can find data using the vocabulary of the business.

How many times have you seen in the objectives section of the charter of a Data Governance Council words similar to the following – “We will create, maintain and secure our Critical Data Elements with a high degree of quality”. So of the 14,000 attributes in a typical enterprise, which ones are critic data elements? Attributed to Peter Drucker is the flowing quote– “you can’t manage what you can’t measure”. Well, you can’t measure what you find, or define.
Some of the key challenges that organizations face with their data environments are:

  • Little or non-existent documentation of data structures in business terminology
  • Multiple definitions in multiple data stores lead to information inaccuracies
  • Inability to predict the cost and effect of changes from either internal or external stimuli
  • Lack of standards for the definition of business terms and data structures

The presentation will framework of a Data Governance (DG) Ecosystem that outlines the relationship between the business definition of information and the data definitions. We will also review the process to identify and link Critical Data Elements across the DG ecosystem to provide complete traceability.

Mr. Soulsby is Sandhill Consultants Vice President Architecture Strategies. His practice areas include strategic and technical architectures for data management, metadata management, and business intelligence. Mr. Soulsby has held senior professional services and product management positions with large multi-national corporations and software development organizations. He has an extensive background in enterprise architecture and data modeling methodologies. He has over 30 years of experience in the development of operational and decision support applications. He is completing his qualification as an Enterprise Data Management Expert (EDME) with the CMMI Institute. Mr. Soulsby is an excellent communicator and has taught metadata, data modeling and data warehouse courses through public offerings and onsite engagements to corporate clients. Mr. Soulsby is a recognized thought leader who speaks regularly at international industry events, MIT CDO Conferences and DAMA functions.

Click here to register.

WI DAMA March 10 Event



Featured speaker, John Ladley, world renowned Information Technology Thought Leader, Author, and International Speaker.

Slides: click here.

Meeting Sponsors:
MarkLogic - http://www.marklogic.com/
WANdisco - http://www.wandisco.com/home

8:00 to 8:45   - Registration, Breakfast & Networking
8:45 to 9:00   - WI DAMA Updates
9:00 to 9:15   - Sponsors
9:15 to Noon   - John Ladley, President , Chief Delivery Officer, First San Francisco Partners, presenting “Business Led Data Governance (Or How to Pivot DG from IT to the Business)
Noon to 12:15 - Wrap up

Topic: Business Led Data Governance (Or How to Pivot DG from IT to the Business)

A key success factor for Data Governance has been good business sponsorship.   However, we are evolving rapidly away from business-sponsored Data Governance to business-led Data Governance.

This is not simple word interpretation or semantic discussion. This is a crucial pivot in how Data Governance is operated .  This tutorial will review the DG deployment process from a pure business view, and focus on how to pivot DG away from IT-led to business-led.

·         Practical alignment of DG to business needs
·         Creation of DG oversight bodies and offices
·         Operating DG away from the data manager

Bio: John Ladley is a Business Technology Thought Leader with 30 years experience in planning, project management, improving IT organizations and successful implementation of information systems.  John Ladley is a recognized authority in the design and implementation of data strategies, business intelligence and Enterprise Information Management.

John is widely published, co-authoring a well-known data warehouse methodology, and a trademarked process for data strategy planning. His books, Making EIM Work for Business – A Guide to Managing Information as an Asset and Data Governance: How to Deploy and Sustain a Data Governance Program, are recognized as authoritative sources in the IM field. He frequently writes and speaks on a variety of technology and enterprise information management topics. His Information Management experience is balanced between strategic technology planning, project management and practical application of business problems.

Specialties: Recognized authority and speaker on enterprise information management, information architectures, data governance, MDM, data quality, BI and Analytics, business intelligence, data warehouse and knowledge management. Has extensive experience in insurance, financial services, manufacturing, transportation and consumer products industries. His books are becoming the authoritative sources for Information Management and Data Governance. John is currently examining the role of Chief Data Officer and assisting several organizations with data strategies.