Compiled and edited by Tony Shaw, Program Chair, Wilshire Conferences, Inc




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The MITRE Corporation



William Clark

TMDS Team Lead

Tri-Cor


The Air Mobility Command (AMC) faced significant data integrity problems in the early 1990’s. Individual communities within the Command developed command and control (C2) systems using their particular view of the data values. The communities did not coordinate with each other on standards so the systems had trouble sharing understandable data. The AMC managers decided that they needed to take several actions to improve the data sharing capabilities and the data integrity of their systems. A key component of this multi-faceted approach was the Table Management Distribution System (TMDS). TMDS provides consistent reference data across all 5 major C2 systems within AMC. In addition, TMDS distributes this reference data for synchronized updates. A process that used to take weeks now takes an hour for global distribution and application. The introduction of standardized reference data reduced the data exchange reject rate from 50% to 7%. TMDS now supports 125 systems with approximately 1400 tables of reference data.


Implementing Business Driven Information Management Practices:

From Policy to Metadata


Wayne Harrison

Senior IRM specialist

BMO Financial Group


Today’s competitive business environment demands that you know your customer and understand your market. You need to ensure you have the right business information and can leverage it to make the right business decisions. Emerging regulatory requirements such as the BASEL II Accord, PIPEDA and SOX, are increasing the need for advanced information management (IM) to safeguard privacy and address information retention, auditability and legal accountability for information. BMO Financial Group (the Bank of Montreal Group of Companies) understands that information is a critical asset, and when managed appropriately, will support both these business and regulatory drivers.


This presentation described how BMO is building the foundation to manage information assets in these areas:

  • Information Management Corporate Policy

  • Information Management Framework and Governance

  • Information Stewardship

  • Business Driven Information Standards and Quality Programs

  • Business level impact analysis through ‘Pedigree’ Metadata; tracing movement of data from source(s) to Target(s)

  • Business Level integration of Legacy Systems & Vendor Packages; through Metadata



Efficiently Implement Data Lineage and Impact Analysis in 100 days


Gary Mersy

Enterprise Data Manager

Best Buy Co., Inc.


Data Lineage and Impact Analysis are key deliverables of Data Professionals. Sarbanes-Oxley requires companies to “collect, process and disclose the information required in the company's [financial] reports.” Implementation of Data Lineage allows your auditors to validate the information on is accurate. Many IS shops have aggressive service level agreements to meet. Implementing Impact Analysis aids your development groups providing a roadmap for development and testing of systems. This capability can find hidden dependencies before that key job fails affecting your whole batch window.


Many companies don't implement a metadata repository because there is no perceived financial ROI. Best Buy has implemented a very successful metadata repository that provides Data Lineage and Impact Analysis. This session covered the common tricks, tips and traps to an successful and efficient Metadata Repository.


Managing Metadata in Oracle


Daniel Liu

Senior Technical Consultant

First American Real Estate Solutions


There are several different ways of managing metadata in an Oracle database environment. Prior to Oracle9i, there are two popular methods to extract metadata from data dictionary. The first method involves querying the data dictionary using SQL statements. The second method involves running Export with ROWS=N, then running Import with SHOW=Y. Oracle9i introduces a new Metadata API (DBMS_METADATA package). It allows database users to easily retrieve complete database object definitions (metadata) from the data dictionary. Attendees also learned the new way of managing metadata in Oracle9i using metadata API package tool.


Defining the Financial Value of Information


Robert Randall

Senior Consultant

The Intoinfo Consulting Group


Times are tough for companies and governments. Information managers need to determine their organization’s information value proposition should they want to convince their senior management to invest in expensive yet much needed initiatives. Robert Randall offered five critical success factors for communicating the value proposition to senior management and to the organization as a whole:

  • Prioritize information system investments in a transparent and systematic fashion that demonstrates the greatest value to the organization;

  • Understand the information risks of retaining too much information and having too little usable information - both of which are the result of poor information management;

  • When planning for new initiatives, ensure information needs are aligned to business needs;

  • Reconcile competing business and corporate information requirements; and

  • Ensure that senior management understands your information value proposition by incorporating various costing methods including asset valuation, cost benefit, and financial indicators.



CONFERENCE SESSIONS

Wednesday, May 5

1:15 pm – 2:15 pm


Information Stewardship: From Vision to Implementation and Beyond


Kimberly Martin

Sr. Data Administrator

Anthem Blue Cross Blue Shield


This session provided attendees a complete guide for creating and organizing an Information Stewardship (IS) program. The speaker included details about how to manage the program, training, communications, and an IS web site demo. The following topics were covered and proved to be beneficial for business and Information Technology professionals planning to initiate an IS program:


* Implementation Strategy (Building a Business Case)

  • Conducting a Pilot

  • Securing Resources

  • Major Challenges

* Managing IS

  • Stewardship

  • Meta Data Management (Business & Technical)

  • Data Quality

  • Model Management

* Governance: Standards and Guidelines

  • Models

  • Meta Data

* Training, Awareness and Communication

* Building an IS web site


A Contrarian View of the ODS Value in a CIF


Michael Bryan

Director

Nextel Communications


Conventional wisdom on the role of operational data stores (ODS) in developing and managing a corporate information factory (CIF) has been a top down approach. The ODS has historically been an interim, staging area where CIF source data is staged and then transformed into a data warehouse or data mart. Nextel’s experience, however, suggests that the CIF’s value and future may lie in its ODS rather than its integrated data warehouse. The speaker advocates a bottom up approach, and challenges the conventional implementations. The Nextel experience is summarized in the following eight misconceptions:


  • Operational Data Responsibility - The ODS can serve as a data replication point among operational systems.

  • Linkage - The ODS allows functional analysts to translate strategic decisions into operational actions, measuring and monitoring impact.

  • Archaeology - The ODS allows lost or incomplete business rules to be re-discovered from the behavior of source systems.

  • Requirements - By sourcing more data than required, the ODS can isolate the CIF from requirements changes.

  • Business Case - The ODS can justify the CIF with less discretionary and more persuasive business cases.

  • Risk- The ODS can convert the CIF’s data quality challenge from risk to service.

  • Impact - The ODS can add smaller tactical impacts from operational reporting to the benefits of the CIF.

  • Sponsorship - The ODS allows a CIF’s sponsorship to extend beyond an analytical champion.



Managing Your Project Manager: A Survival Guide for Data Professionals


Karen Lopez

Principal Consultant

InfoAdvisors, Inc.


Karen Lopez led an interactive discussion about being effective as a data

management professional on a systems development project. Points included:

  • Earning the trust of a project manager

  • Knowing both the system and the business goals of a project

  • Responding to development needs while balancing enterprise needs

  • How to deal with compromises

  • How to leverage data management artifacts



How to Implement a Quick, Low-Cost Metadata Management Program:


Janice Tyson Wolf

Information Technology Specialist
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