DATA MANAGEMENT DAY

The Insurance Data Management Association (IDMA) and the Wisconsin Chapter of DAMA International (Wisconsin DAMA) are partnering to bring a day of networking and emerging topics to data management professionals. Hear from experts in the industry on Blockchain, Artificial Intelligence, Cloud Computing, Data Catalog, Robotic Process Automation, and more.

WI DAMA/IDMA nov 7 Event

Location (Map)
American Family Insurance
A Building Cafeteria (downstairs)
6000 American Parkway
Madison, WI 53783


WI DAMA SEP 18 Event

Network with other Data Management Professionals and listen to featured speaker Dan Myers, from DQMatters.

Location (Map)
American Family Insurance
A Building Cafeteria (downstairs)
6000 American Parkway
Madison, WI 53783

 

Improved Data Quality Implications with Blockchain

Agenda

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
Noon to 12:15 - Closing Remarks

Abstract:

  • Blockchain is a distributed ledger concept offering:

    • Transparency with security and privacy

    • Distributed records offering no single point of failure that is redundant and available,

    • Consistent and validated transactions that can be validated and reconciled

  • This presentation will provide a basic explanation about how blockchain concepts work including: Security/privacy and cryptography, Architecture (Peer-to-peer vs distributed systems), Data structures and Hash values within the blockchain transactions.

  • Then we step through relevant dimensions of data quality that apply to the blockchain concept and how we expect it to improve data quality. Lastly, we’ll discuss what data management professionals can and cannot expect of blockchain implementations regarding data quality, metadata management, and trust/security.

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Bio:
Dan Myers is Principal Info Quality Educator at DQMatters- an eLearning company focused on Information Quality training and consulting. Dan frequently presents at data management conferences on topics including: Blockchain, NoSQL, Data Quality, Data Governance, Metadata Management, and Data Strategy. Dan is the founder of the Conformed Dimensions of Data Quality (http://dimensionsofdataquality.com) and publishes an extensive annual report on industry use of the dimensions of data quality as well.
 
In previous roles Dan has managed business intelligence teams, and lead architecture reviews of data management (metadata, data quality…etc) tools and implemented associated governance programs. In his role at Farmers Insurance, he authored the Finance led data governance policies for integration/sourcing, metadata, and data quality. Previously Dan has worked as an independent Oracle Certified Professional consultant in both front and back-end development capacities. Dan's fluency in Japanese enabled him to work in both the public and private sector in Japan. Dan received his MBA from the U.S.C. Marshall School of Business in 2009.


wi dama May 3 event

Network with other Data Management Professionals and listen to featured speaker Len Silverston.

Host Venue:

Northwestern Mutual
Tower & Commons
805 E Mason Street
Milwaukee, WI 53202

Lobby security phone: 414-665-5034/ 414-665-7840

Guests must enter through Mason street entrance and register before entering the facility (Just like we had to register at Harley Davidson)

Parking lots closest to venue :

  1. Visitor parking: 778 N Cass Street, Milwaukee, WI 53202 – Limited number of spots available, usually first come first serve basis

  2. O'Donnell Parking: 910 E Michigan, Milwaukee, WI 53202 – Take the North Elevator to 4th floor. This is the closest parking lot.

  3. Cathedral Place Garage: 530 E Mason St, Milwaukee, WI 53202 – Exit on Mason street, head east towards the lake

 

Drowning in Data, Starving for Wisdom: The Human Side of Data Management

Agenda

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: Len Silverston
Noon to 12:15 - Closing Remarks

Abstract

This fun, interactive, informative, and practical seminar will provide practical tools, case studies, techniques, and exercises for the most important aspects of data management critical to success, namely the human, cultural, and political factors.

This seminar will address these human behavioral considerations in the context of traditional data management programs such as data governance, data architecture, MDM, data strategy, and data design as well as in emerging trends in data management such as big data, data science, IoT, and AI.

Some of the questions addressed in this seminar will be:

  • With emerging trends, are we more connected or less connected, and how do we effectively integrate?

  • With things changing so quickly such as in data science and AI, how can be clearer in our purpose?

  • What is our role in data management with IT changing so dramatically and affecting the workforce?

  • How do we address cultural and organizational challenges in motivations, trust, security, privacy, transparency, and ethics?

This seminar will focus on many human matters that are often missed and yet so important. It will address:

  • Critical human factors that are important to address such as our underlying purpose, motivations and intentions as we evolve our industry, trust, communications, and conflict management.

  • Case studies and stories regarding what behavioral and organization change management practices have worked and have not worked in data management efforts

  • How we can effectively apply wisdom in data management in an increasingly complex world

  • Important tools and techniques that we can use to apply wisdom in our industry and to our lives

  • Interactive exercises to practice using these tools and techniques

The seminar can arm you with an extremely practical and useful toolkit to help you navigate human and cultural considerations and move forward with true wisdom.


  Len Silverston  Universal Data Models, LLC

Len Silverston
Universal Data Models, LLC

Len Silverston is a best-selling author, consultant, speaker and thought leader with over 30 years of experience helping organizations integrate their data, systems and people. Mr. Silverston is an internationally acclaimed expert in the fields of data modeling, data governance, data management, and in the human dynamics of integrating information. He has successfully implemented many data strategies, architectures, models, governance efforts, and information management programs throughout the world.

He is the author of The Data Model Resource Book series (Volumes 1, 2, and 3), which describe hundreds of reusable data models. The volume 1 book was rated #12 on the Computer Literacy Best Seller List and his books have been translated into multiple languages. Due to his books, articles, highly rated international keynotes, and other contributions, he has won many awards such as the DAMA (Data Administration Management Association) International Professional Achievement Award and the DAMA International Community Award. Mr. Silverston's company, Universal Data Models, (www.universaldatamodels.com)

provides consulting, training, publications, and software to enable integration and to evolve towards true wisdom.

Len Silverston is also a corporate mindfulness facilitator, consultant, and coach. He has studied and taught many forms of consciousness practices and life development skills for over thirty years. He is a fully ordained Zen Priest and leads transformational ‘Zen With Len’ (www.zenwithlen.com) corporate mindfulness programs, retreats, and workshops which incorporate a diverse variety of mindfulness techniques and have helped many people and organizations transform.


WI DAMA March 6 Event

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

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

 

Title: Supporting Business Needs through Data Quality Metrics

Agenda

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

Abstract: 
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

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Bio:
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.

 

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

Agenda

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

Abstract: 
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.

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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. 

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

Agenda

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

Agenda
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. 

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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

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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).