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Building the Data Management Program Core for Your Organization

September 25, 2014

Every organization struggles getting their data management program started and established in the organization to where it makes a business impact. Data management programs may be called enterprise data management or enterprise information management in some organizations. No matter your preference, there are 3 foundational functions to every data management program that need to be implemented correctly and aligned to see the program adopted in an organization.  This WI DAMA event is your opportunity to learn more about establishing your core data management program including best practices, methods, and successful business use cases that are achieving real business value. Learn and ask questions from the data management real world experts and practitioners.

 

Speakers & Panelists: 

 

9:00 to 10:00  -  Anne Marie Smith  -  Principal Consultant, Alabama Yankee Systems, LLC


Topic:  8 Steps to Successful Data Governance (click here for slides)

 

Description: Data and information are critical assets of any organization, and should be considered as valuable a resource as buildings, employees and products.  For a company to gain a significant competitive advantage, it must focus on managing and using its data effectively.  Data stewardship and the governance of information assets are essential parts of any relevant information systems strategy for the 21st century. 

 

This presentation will offer eight (8) essential steps for a successful data governance program.  The presentation will also identify ways to customize common governance and stewardship models, roles and responsibilities to reflect the unique approaches of an attendee’s organization.  It will show how data governance, as part of an enterprise data / information management program, can achieve an organization’s business goals for more effective use of their data assets.

 

Learning Objectives:

 - Mission and goals of data governance

 - Importance of business-driven data governance

 - Essential components of governance programs

 - Data stewardship roles in data governance models

 - Importance of data governance office to successful implementation

 - Fundamentals of implementation

 - Challenges to successful data governance – and how to overcome them

 

Bio:  Anne Marie Smith, Ph.D. is Principal Consultant with over 20 years of experience in enterprise information management.  She is a certified data management professional (CDMP) and is a frequent speaker and author on data management topics.

Anne Marie has consulted in areas such as: enterprise information management assessment and program development, data governance, data warehousing, business requirements gathering and analysis, metadata management, information systems planning and EIM project management.  She has taught numerous workshops and courses in her areas of expertise.

Anne Marie holds the degrees Bachelor of Arts and a Master's of Business Administration in Management Information Systems from La Salle University; she earned a Ph.D. in MIS at Northcentral University.

 

Accomplishments:

Numerous articles on various professional websites, including The Data Administration Newsletter, EIM Institute.org, Real World Decision Support, etc...


10:10 to 11:10  -  David Marco  -  President, EWSolutions


Topic:  World-Class Meta Data Management (click here for slides)

 

Description: Effective meta data management is no longer an option, but an absolute requirement for corporations and government agencies looking to enable their master data management and data governance initiatives.  Companies have realized that without meta data their IT departments cannot manage their systems and their systems are not providing true value to the business end user.  Organizations are implementing managed meta data environments (MME) to provide them an enterprise meta data management solution. This practical seminar leverages the lessons learned from companies that have successfully deployed MMEs.

 

What You Will Learn

 - Why Meta Data Management is a Necessity

 - MME Return on Investment (ROI)

 - How to Sell a MME Project to Business Executives

 - Managed Meta Data Environment (MME)

 - Real-World MME Case Studies

 

Bio:  David Marco is best known as the world’s foremost authority on meta data management and the father of the Managed Meta Data Environment, he is an internationally recognized expert in the fields of master data management, data governance, big data, data warehousing and enterprise information management (EIM). In 2004 David Marco was named the “Melvil Dewey of Metadata” by Crain’s Chicago Business as he was selected to their very prestigious “Top 40 Under 40” list. He followed up this honor in 2007 by being named one of DePaul University’s “Top 14 Alumni Under 40”. In 2008 David Marco was enshrined into the very select DAMA Data Management Hall of Fame (Professional Achievement Award) which is the highest honor a data management professional can attain.

 

11:20 to 12:20  -  Peter Aiken, Ph.D.  -  Founding Director and Owner, Data Blueprint 


Topic:  Enriching Enterprise Data Models:  Incorporating active taxonomies (click here for slides)

 

Description: Effective information and systems remains an important potential competitive advantage for organizations and an important IS leadership responsibility.  Enterprise data models (EDM) are required components of any integration solution. Managing the EDM better, permits business leadership to more easily collaborate with IT to leverage an enterprise's sole, non-depletable, non-degrading, durable, strategic asset – its data!  We describe the process of enriching EDMs with active taxonomies and demonstrate the utility that these enriched enterprise data models can have both on organizational productivity and on increasing the utility of EDMs.

 

Bio:  Peter Aiken is acknowledged to be a top data management (DM) authority. As a practicing data consultant, author and researcher, he has been actively performing and studying DM for more than 30 years. His expertise has been sought by some of the world's most important organizations and his achievements have been recognized internationally.  He has held leadership positions and consulted with more than 75 organizations in 21 countries across numerous industries, including defense, banking, healthcare, telecommunications and manufacturing. He is a sought-after keynote speaker and author of multiple publications, including his latest the "Case for the CDO" & "Monetizing Data Management." Peter is the Founding Director of Data Blueprint, a consulting firm that helps organizations leverage data for competitive advantage and operational efficiencies.  He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU) and past President of the International Data Management Association (DAMA-I).

12:20 to 1:15  -  Lunch

1:15 to 2: 15  -  Panel Discussion

2:15 to 2:30  -  Close


Registration: click here.



John Zachman  –  Enterprise Architecture and The Zachman Framework - June 10, 2014

Hurry to register and meet the John Zachman, Chief Executive Officer of Zachman International, and originator of the Zachman Framework©.  See bio here.

 

Slides: click here.


A rare opportunity to hear John Zachman, the father of Enterprise Architecture and the originator of the "Framework for Enterprise Architecture".  John travels nationally and internationally, teaching and consulting, and has facilitated innumerable executive team planning sessions. As a conference speaker, John is known for motivating messages on information issues.

 

Enterprise Architecture tends to be misinterpreted by many in the industry.  Enterprise Architecture has everything to do with managing Enterprise complexity and Enterprise change and relates to information technology.  The Framework for Enterprise Architecture, the “Zachman Framework,” is derived from the descriptive representations that constitute architecture for any industrial object: buildings, airplanes, ocean liners, automobiles, computers, etc., etc.  “Architecture Is Architecture Is Architecture”.  The Framework defines the set of engineering design artifacts required for engineering an Enterprise for flexibility, integration, reusability, interoperability, alignment, etc. that is, it is the knowledgebase for creating, operating, managing the Enterprise and constitutes the baseline for managing Enterprise change, just as do the engineering design artifacts for anything.

 

You will learn about:

  • The role of IT in the Information Age Enterprise

  • Architecture: Fundamental to Enterprise Survival

  • Enterprise on Demand – (“Late Binding” the Enterprise Implementation, e.g. “click”)

  • Universal Structure of Architectural Representations

  • Definition of Enterprise Architecture

  • Ontology Versus Methodology

  • Enterprise Architecture: Solving General Management Problems

 

Location: 
Comfort Inn and Suites DeForest

5025 County Hwy V (Exit 126 off of HWY 90/94)

DeForest, WI 53532
 
June 10, 2014
8:00 Registration/Breakfast

9:00 - 12:00 - Presentation
 
Registration:click here.

 

Wisconsin DAMA Big Data Day – Tuesday, March 11, 2014

November 14, 2013 - Karen Lopez

Data Modeling Contentious Issues
 
A highly interactive and popular session where attendees evaluate the options and best practices of common and advanced data modeling issues, such as:
 
        * Party/party role
        * Natural vs. surrogate keys
        * Class Models vs. Data Models
        * SOAs, Ontologies, ESBs, New TLAs and Shoe Strings
        * What is Logical? What is Physical? Why Do We Care?
        * Data Modeling for Cloud and NoSQL Databases
        * Politics vs. Customer Satisfaction
 
...and others.
 
Participants in this session will be presenting with an issue along with a range of responses or possible solutions. Participants will vote on their preferred response, and then the group as a whole will discuss the results, along with the merits of each possible response. If the specific issue has been discussed in other presentations, a summary of the responses of the other groups will be presented. The goal of this workshop is to help practitioners identify potential points of conflict in data modeling, as well as alternative approaches to resolving the issues. This presentation is targeted at experienced data modelers and assumes extensive data modeling skills.

September 19, 2013 - Profitable Analytics
American Family Insurance - Building C

6000 American Parkway

Madison, WI  53783

Members :  Free
Non Members: $30
Registration/Breakfast 8:00
Meeting 9:00 – 12:00

Slides: Data Structures for Analytics | Profitable Analytics

David Haertzen

David Haertzen is the author of The Analytical Puzzle:  Profitable Data Warehousing, Business Intelligence and Analytics.  In addition, he contributes to industry publications and blogs.  He is an acknowledged trail blazer and thinker in the fields of data warehousing, business intelligence and analytics.  He has aided a diverse set of organizations from start-ups to multinationals to utilize data for their advantage.

 

David is known for his engaging teaching and speaking style (look out for challenging ideas!) and is a sought after presenter at industry conferences and events.  He is a graduate of the University of Minnesota and holds an MBA from the University of St. Thomas.

 

To lean more about is training adn advisory services, visit his website www.DavidHaertzen.com and sign up for his Data and Analytic Insights Newsletter.  David can be contacted at david@davidhaertzen.com .

 

Profitable Analytics

Analytics goes beyond traditional reporting and business intelligence.  Instead of showing what happened it shows what is likely to happen and when.  Profitable analytics, addresses questions including:

·                    Why is analytics a hot topic?

·                    What are practical examples of analytics?

·                    How can analytics reduce operations cost? Increase revenues? Reduce risk?

·                    Who is profiting from analytics?

·                    What makes analytics different from reporting and business intelligence?

·                    What training and knowledge are needed to excel in analytics?

 

This session includes an effective mix of presentations and interactions. The Tricks and Traps section will show you how to avoid problems and make good choices. 

 

Archives

 

Data Visualization - Wisconsin DAMA Day 2013
March 19, 2013 at 8:00 AM - 4:30 PM

Cindi Howson is the founder of BI Scorecard

 

Yes, You can Create An Architectural Data Model in UML 

October 2012

 

Product to Customer: A Fundamental Change through MDM

August 2012

 

Big Data and Analytics

June 2012

 

Agile Data Analysis

March 2012

 

Dama Day 2011

Recognizing and Treating "Tableitis"

Introduction to ORM Modeling

November 2011

 

 

Master Data Management (MDM)

September 2011

 

Microsoft BI Overview

May 2011

 

Workshop: Working with Techies: Better Collaboration with Developers and DBAs

May 2008

 

Data Privacy - The Internal Threat
March 2008

 

Enterprise Business Intelligence Solutions
April 2007
 

 

Managing Data For Long Retention Periods: Requirements and Challenges

October 2006

 

Data Modeling: Not Just for Databases Anymore
August 2006

 

XML: It's Impact on Data Management, Administration and Architecture 
June 2006
 

 

Data Interoperability
March 2006

 

Increasing ROI with Data Modeling/ERwin SIG
May 2005 

 

Metadata Management 2005
April 2005
 

 

Dimensional Modeling Education
March 2005