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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.

 

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