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More than 90 Data Management professionals gathered at the Bureau of Labor Statistics for a wonderful program of speakers on
Monday, September 19th. We exceeded our record number of attendees from last year's DAMA Day event and the overwhelming response
from the many thought provoking presentations was a tremendous success again. The presentations will help you understand the issues
better, prepare you for upcoming discussions and help set your course for navigating the data management labyrinths.
Thank you again to our host, BLS, and the corporate sponsor, Phasic Systems Inc,
for both their logistical support, and the interesting overview of the NoSQL environment.
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We have had 50+ new members join the chapter! Watch for the announcement for all of our future meeting! Save the dates:
Tuesday, November 8, 2011
Tuesday, January 10, 2012
Tuesday, March 13, 2012
Tuesday, May 8, 2012
ICCP Units Received - Conference/Symposium with Educational Content
- 4 sessions at 1 hour each
- 1 session at 1.5 hours
- 1 session at .5 hours
Loretta Mahon Smith, President of DAMA-NCR, can certify that you attended, additionally
Tracy Pham, our VP of Membership could do so as well.
You can enter your education credits on-line through the following link:
iccp.org/members/recertification/submit-education
Agenda
DAMA Day Program |
Text, Content, and Social Analytics: BI for the New World
Seth Grimes - Alta Plana Corporation |
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The information technology Old World consists of fielded records in structured databases --
transactions, profiles, log files, and reference data. The New World is everything else, including online media and massive
volumes of social postings and other forms of "user generated content." We want it all: The business insights and predictive
power to be gained by analyzing and mining Old World data, augmented by quantitative and qualitative data newly discoverable
in formerly inaccessible New World sources. It's text and content analytics -- technologies that extract the information
content of textual and other "unstructured" sources -- coupled with network-analysis methods, that extend BI into new domains.
Techniques include sentiment and influencer analysis, behavioral models, and psychometric profiling as well as more conventional
"textual ETL." The net result is progress toward universal information access, a new BI.
Seth's talk will introduce the "unstructured information" challenge, the business and technical context and drivers that
motivate us to collect and analyze online, social, and enterprise content as a complement to, and in conjuction with, our BI
work. He will discuss text and content analytics technologies and how they mesh with larger social and enterprise analytics
efforts. And he will provide guidance on moving your organization toward this vision of universal information access.
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Leveraging information for governmental transformation: the Colorado story
Micheline Casey - advisor to the CIO of the Department of Education
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The State of Colorado has produced a ground-breaking and progressive agenda for information sharing and information
technology management.
The Governor's Office of Information Technology has focused on agile application and service delivery with a strong emphasis on data
quality. The Colorado Data Strategy ensures that state government policy makers and knowledge workers have the data and information
they need to do their work. The business-ization of government requires a disciplined approach to managing data and information resources.
Outcomes gained include:
- Dismantling data silos
- Implementing the necessary infrastructure to enable collaborative information sharing across agencies, branches, and levels of government
- Acquiring the necessary tools to build capacity for knowledge and performance management going forward.
Ms. Casey will present an overview of Colorado’s Data Strategy and how they are building a Data Governance Program from the ground up.
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National Information Exchange Model (NIEM) and Enterprise Data Management
Mike Simcock - DHS Data Management Working Group |
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In the first half of 2010, the White House Office of Management & Budget directed the CFO Act agencies
to evaluate the use of NIEM for information exchange across government missions. To support all of the Federal agencies in advancing
data architecture by building NIEM into their enterprise data management initiatives, DHS developed a briefing with successes, core
lessons learned, data strategies, performance metrics, operational guidelines, and more. This briefing has been briefed to chief
architects and chief data architects across the Federal departments and agencies and continues to be requested by data leads throughout
the government. NIEM and EDM have also helped to drive open government and transparency initiatives such as Data.gov. DHS continues
to provide leadership and support to continuing development of the FEA Data Reference Model and improvements with implementation
lessons learned and best practices.
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THE ZACHMAN FRAMEWORK: INTRO TO SAMPLE “PRIMITIVE” MODELS
John A. Zachman |
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For many years, I have argued that engineering an Enterprise is far different from building
and running systems. Engineering an Enterprise requires single variable, “primitive” models, whereas building and running
systems requires multiple variable, “composite” models. If you want the Enterprise to be “architected”, then the “composite”
implementation (systems) models must be created from components of “primitive” engineering (architecture) models. If the
“composite” implementation models are created before any “primitive” models exist, then the Enterprise will be implemented
(running systems), but NOT “architected.”
The problem is, for the last 60 or 70 years, those of us who come from the information community have been solely focused
on building and running systems (implementations) not on engineering Enterprises (architecture). We build and use “composite”
models. We don’t relate to “primitive” models because we don’t build or use “primitive” models. This presentation argues the
utility and necessity of Primitive Models for Enterprise Architecture by way of introducing the Sample Primitive Models. |
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How to Design Your Data Governance Program - Our Experiences at Sallie Mae
Michele Koch – Director of Enterprise Data Management and the Data Governance Office at Sallie Mae
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In this presentation, learn how Sallie Mae, the winner of the 2011 Data Governance Best
Practice Award, deployed a strong Data Governance (DG) Program to solve enterprise boundary-spanning data issues by pulling
together the pieces of the data puzzle.
Attendees will learn:
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The “non-traditional” Data Governance framework Sallie Mae used and the benefits of that approach
- How the DG Program contributed to the success of Sallie Mae during tumultuous industry changes
- The key critical success factors and lessons learned
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Eliminating barriers to Agile BI using NoSQL object data model semantic vocabulary
Geoffrey Malafsky – CEO, Phasic Systems, Inc
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DataStar™ Agile BI streamlines barriers to common, meaningful, corporate data
shortening timelines 10x. DataStar Discovery accelerates defining business requirements, data architecture,
system functions, and governance products into common business understanding and terminology definitions (ontologies),
dimensional/relational data models, NoSQL object data model with semantic vocabulary, business rules in standard
English, master codes, XML metadata schema, and more. DataStar Unifier integrates disparate data using NoSQL
object data model semantic vocabulary, and performs analytics on unified data via templates.
Semantic conflicts, lengthy data element mapping, and datacubes are eliminated. Source
data (relational, XML, flat) is automatically integrated, transformed, and value checked.
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