addressalign-toparrow-leftarrow-rightbackbellblockcalendarcameraccwchatcheckchevron-downchevron-leftchevron-rightchevron-small-downchevron-small-leftchevron-small-rightchevron-small-upchevron-upcircle-with-checkcircle-with-crosscircle-with-pluscrosseditemptyheartfacebookfolderfullheartglobegmailgoogleimagesinstagramlinklocation-pinmagnifying-glassmailminusmoremuplabelShape 3 + Rectangle 1outlookpersonplusprice-ribbonImported LayersImported LayersImported Layersshieldstartickettrashtriangle-downtriangle-uptwitteruseryahoo

Buckeye DAMA Q2 2014 Chapter Meeting 4/16/2014


Buckeye DAMA isexcited to bring two great speakers to you for our April Meeting.


  • 12:00 – 12:30: Sign-in, Lunch
  • 12:30 – 12:45: Chapter Announcements
  • 12:45 – 2:15: Performance Management Requirements Gathering – Defining What the Business Really Needs to Achieve Better Performance (Mike Lampa)
  • 2:15 – 2:30: Discussion / Open Networking
  • 2:30 – 2:45: Break
  • 2:45 – 4:15: Data Modeling Contentious Issues (Karen Lopez)
  • 4:15: Meeting Wrap-up

About Our Speakers & Their Topics

Mike Lampa will be speaking on Performance Management Requirements Gathering Defining What the Business Really Needs to Achieve Better Performance:  The discussion focuses on practical techniques for acquiring the knowledge from your business community. How to get quality functional requirements that will lead to the design of business intelligence solutions that positively impact business performance.  You’ll be prepared to significantly improve the quality of the business functional requirements and increase the return on investment for your next business intelligence project.

 Topic Outline:

  •          Group Facilitation Fundamentals
  •          Business Process Modeling Fundamentals
  •          Conceptual Data Modeling Fundamentals
  •          Business Information Needs Gathering
  •          Putting it all Together, Applying Techniques using  in-class use-case exercises


Mike Lampa is Managing Partner at Denver-based Archipelago Information Strategies.  Archipelago is a business intelligence/advanced analytics consultancy & solution provider focusing on business outcome improvements through agile implementations of business discovery and advanced analytics.  Prior to joining Archipelago in 2013, Mike was Managing Director for Dell, where he implemented a global business intelligence practice. Mike was part of the team that formed strategic partnerships with major Business Intelligence software providers including Microsoft and SAP and was involved in the design and development of analytic solution offers including the Dell QuickStart Data Warehouse and Dell SAP HANA appliances. Mike’s responsibilities included creation of service catalogs & business intelligence/advanced analytics reference architectures; development of training programs & service delivery methods; creation & delivery of field enablement programs for sales, service delivery & partners; and definition of target markets, industry alliances & strategic partnerships with selected data warehousing and business intelligence service & software providers.

Prior to joining Dell in 2008, Mike owned and operated a data warehouse consulting practice providing comprehensive business intelligence & data warehousing consulting services as well as strategic consulting:  program planning, architecture consultation & solution delivery to Fortune 1000 companies and governmental agencies across a variety of industries and jurisdictions.

Mike has over 32 years experience, the last 18 of which have been focused on data warehousing, business intelligence and advanced analytics. He is a sought after business leader, educator, and speaker. Mike serves as on Faculty with the International Institute for Analytics (IIA) and as an instructor for The Data Warehousing Institute (TDWI). He also chairs BI tool user groups and has been published in TechTarget, DM Review & The Journal of Data Warehousing.

Mr. Lampa earned his bachelor’s degree in computer science, with a minor in economics, from Northern Illinois University.

Karen Lopez  will be speaking on 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
  • NoSQL, Post-Relational and Hadooping
  • Classwords and Naming Standards
  • Who Does What?
  • Using External Data
  • What is Logical? What is Physical? Why Do We Care?
  • Who Calls the Shots?

…and others Participants in this session will be presented with an issue along with a range of responses or possible solutions. Participants will vote on their preferred response, 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.


Karen Lopez is a senior project manager with an extensive background in development processes and information management. She specializes in taking practical approaches to systems development. She has helped many IT departments choose appropriate methods and standards, based on the department’s culture, experience, and focus.

Karen is an international speaker on the Zachman Framework, information privacy, IT certification and licensing, data modeling and process modeling (DAMA, Enterprise Data World, EDF, EIM, DAMA Australia, CIPS, ZIFA, IRMUK/DAMA Europe, SQLPASS, SQLSaturdays). She has authored several white papers on better collaboration with business and development resources.

Join or login to comment.

9 went

Our Sponsors

People in this
Meetup are also in:

Sign up

Meetup members, Log in

By clicking "Sign up" or "Sign up using Facebook", you confirm that you accept our Terms of Service & Privacy Policy