February 16, 2012.  About us ◦ Data Governance ◦ Enterprise Architecture  History ◦ SLDS Grant ◦ RFP ◦ Metadata  Troux ◦ Basics of  Troux Information.

Slides:



Advertisements
Similar presentations
Tom Harrison Consultant HP Enterprise Servers, Storage & Networking, South Pacific BIG DECISIONS.
Advertisements

A BPM Framework for KPI-Driven Performance Management
1 K-12 Data Governance November 15, :30 – 2:30 Dave Ream, PA Bill Huennekens, WA Bill Hurwitch, ME.
BENEFITS OF SUCCESSFUL IT MODERNIZATION
Creating a Practical and Consumable SharePoint Governance Plan SPTechCon Boston August 12, 2013 Sue 1.
NCES Forum Tech Committee July 2010 Presented by: Kathy Gosa Kansas State Department of Education.
1 P-20 Data Dictionary November 16, :15 – 12:15 Kit Goodner, FL Mike McKindles, IL Rod Packard, WI.
Overview Background Data Governance Defined
Houston Independent School Technology Plan for
Connecting People With Information DoD Net-Centric Services Strategy Frank Petroski October 31, 2006.
Oncor’s EIM Program.
Content Management Activities at Pacific Northwest National Laboratory Interlab 2003 Nancy Stratton Annanaomi Sams Genevieve Millsap Pam Novak.
BEDES & SEED Building Energy Data Exchange Specification & Standard Energy Efficiency Data Platform April 14, 2015 Robin Mitchell Lawrence Berkeley National.
Chapter 10: Analyzing Systems Using Data Dictionaries Instructor: Paul K Chen.
Social Network Priyanka Agrawal. Introduction Social Network is a social structure made of nodes that are tied by one or more specific types of relations.
Certified Business Process Professional (CBPP®)
Certified Business Process Professional (CBPP®) Exam Overview
® IBM Software Group © IBM Corporation IBM Information Server Metadata Management.
LEVERAGING THE ENTERPRISE INFORMATION ENVIRONMENT Louise Edmonds Senior Manager Information Management ACT Health.
Association of Enterprise Architects International Committee on Enterprise Architecture Standards Building an Enterprise Architecture (EA) Knowledge Digest.
Extended Enterprise Architecture Framework (E2AF)
Enterprise Architecture
Chapter © 2012 Pearson Education, Inc. Publishing as Prentice Hall.
Enterprise Business Information Model Enterprise Data Services.
Agenda 1. Definition and Purpose of Data Governance
Enterprise Business Intelligence Consolidated Business Intelligence Project February 2014 Management Overview.
Pennsylvania GTO 3-Year Strategic Plan NSGIC Annual Conference 2005 Rochester, NY Jim Knudson Stacey White
CEDS Standard Update.
A GENDA Welcome & Introduction Washington’s CEDS Efforts CEDS as Data Governance Tool CEDS Tools Break CEDS Speed Session.
Organize to improve Data Quality Data Quality?. © 2012 GS1 To fully exploit and utilize the data available, a strategic approach to data governance at.
- 1 - Roadmap to Re-aligning the Customer Master with Oracle's TCA Northern California OAUG March 7, 2005.
Veterans Health Administration Data Registry Gregg Seppala Data Administrator Veterans Health Administration Presentation for.
Roles and Responsibilities
26th Annual Management Information Systems [MIS] Conference 1 E STABLISHING, DOCUMENTING, AND INSTITUTIONALIZING K-12 DATA GOVERNANCE POLICIES AND PROCESSES.
Larry L. Johnson Federal Transition Framework.
VALUE BASED SYSTEMS ENGINEERING THE VALUE ADDED PATH FORWARD Joseph Maley October 8, 2015.
1 CTE Data Governance Tuesday, November 15, 2011 Bill Huennekens (WA) Pat Mikos (MD)
Enterprise Architecture, Enterprise Data Management, and Data Standardization Efforts at the U.S. Department of Education May 2006 Joe Rose, Chief Architect.
FEA DRM Management Strategy Presented by : Mary McCaffery, US EPA.
EPA Enterprise Data Architecture Metadata Framework Assessment Kevin J. Kirby, Enterprise Data Architect EPA Enterprise Architecture Team
Achieving SOA Governance through Organizational Consensus SOA e-Government Conference Hosted by MITRE and The Federal SOA Community of Practice September.
CIO - CAO Commonwealth of Virginia Strategic Plan for Applications Will Goldschmidt 9 December 2008.
The Importance of Metadata JP Morgenthal Chief Architect, Professional Services Software AG, Inc.
SNA seminar in the Caribbean Integrated questionnaires Marie Brodeur Director General, Industry Statistics Branch, Statistics Canada St. Lucia February,
EGovOS Panel Discussion CIO Council Architecture & Infrastructure Committee Subcommittee Co-Chairs March 15, 2004.
The DoD Information Enterprise Strategic Plan and Roadmap (SP&R)
Federal Enterprise BOF Rick Murphy Chief Architect, Blueprint Technologies June 7, 2004.
David Boyd & Associates Tax Agency Re- Engineering Services David Boyd & Associates.
State of Georgia Release Management Training
UBC IT Integrated Reporting Governance Committee May 1 st, 2012.
AGA Intergovernmental Partnership Steering Committee – DAP Presentation DATA Act - Section 5 Grants Pilot February 25, 2016.
Integration of the collection system and the Business Register system : Lessons learned, benefits achieved & opportunities created September 14, 2011 Session.
© 2010 IBM Corporation STRATEGIC ADVISORY COUNCIL MARCH 2011 Enterprise Architecture - Advisory Discussion – Greg Dietzel Vice President, Client Unit Director,
July 27, Brain Works Consulting, LLC 1.
Database Principles: Fundamentals of Design, Implementation, and Management Chapter 1 The Database Approach.
University of Southern California Identity and Access Management (IAM)
IBM Information Server
CIM Modeling for E&U - (Short Version)
Manajemen Data (2) PTI Pertemuan 6.
Generate, An Automated federal Reporting Tool
Digital Repositories The management of learning objects
University of Southern California Identity and Access Management (IAM)
About The Federal Data Architecture Subcommittee (DAS) 2008
Sacramento Forms User Group
Metadata The metadata contains
Portfolio, Programme and Project
Data Governance & Management Skills and Experience
Agenda Start with Why What Are Best Practice Frameworks, and Why Do We Need Them? Best Practices Defined Lean, Agile, DevOps and ITSM/ITIL 4 The Increasing.
i21 NowShaping a Vision To Support Next Generation Learning
Presentation transcript:

February 16, 2012

 About us ◦ Data Governance ◦ Enterprise Architecture  History ◦ SLDS Grant ◦ RFP ◦ Metadata  Troux ◦ Basics of  Troux Information Metamodel ◦ Troux Information Portal ◦ Reports ◦ Future Plans 2 October 2011

 The essential notion behind establishing a K-12 data governance system is that decisions are only as good as the data on which they are based.  As we transform data into information to facilitate wise decision- making, users and managers of K-12 data need to establish data definitions, data and process ownership and authority, accountability, security, and reporting needs and requirements.  The goal of the K-12 data governance effort is to bring clarity and understanding to these issues. 3

 To achieve this, we have taken action on several fronts in Washington ◦ Defined the business problem ◦ Obtained Executive sponsorship ◦ Established a Data Governance Group and Data Management Committee  Data owners and stewards ◦ Adopted a Data Governance Manual 4

 Next steps in on the Data Governance path*: ◦ Build data dictionary ◦ Understand the data ◦ Create metadata repository  Need a tool to accomplish these items and Troux provides the functionality 5 * "The IBM Data Governance Unified Process" Sunil Soares 2010

IBM Corp IBM Data Governance Unified Process

 A function that helps find the most efficient way for an organization to act on its strategies.  Goals are ◦ Effectiveness ◦ Efficiency ◦ Agility ◦ Durability  How – Need to understand relationships in your enterprise. 7

8 Business Information Applications Technology Information

9

Troux Architect Troux Portals Troux Metaverse

11 Architect is an extensible modeling tool

12 Portals are customizable websites to access data, reports and analysis

13

14  Our original, simple metadata model.  Based on NCES Forum Guide to Metadata.

15

16

17

18

19

20

21

22

23

24

 Finish mapping to CEDS and export to Data Alignment tool  Reducing the burden on school districts ◦ Finding duplicate data collections ◦ Identifying unnecessary data collections  Automate population of Troux Information  Data Manuals by System/Data Asset 25

Bill Huennekens Nathan Clinton 26