1. DM 101 The 50K Mile Perspective
DAU Course Content
DM 101
The 50K Mile Perspective

2. Module 1: What is DM and why do I care?
Learning Objectives
Understand the forces behind the new approaches to Data Management
Understand the benefit of DM throughout the enterprise
Learning Outcomes
Support Data Management functions throughout the enterprise to reap the benefits of new DM
Support application of Data Management throughout the lifecycle
Cartoon to illustrate……picture of Model T and a new sports car .

3. The Paradigm Shift in DM
Historically
Paper
Product-centric
Cycle time
Delivery
Physical protection
Now
Electronic
AND business-centric
Instant access
Access in IDEs
Electronic protection
Presentation:
Make the left table a series of graphics and explanatory text (for each bullet) and ‘build’ the list, for each, morph to the element in the right table using new icons and text to describe the ‘new’
Explanatory material (voiceover, popup, etc.)
The methods of DM have undergone significant changes as paper documents transitioned to digital data and continue to evolve.
DM is being applied to cost, schedule, performance, scientific, financial, human resources, and other programmatic and enterprise data. This is partly in response to regulatory requirements, and technological advance that allow these advances to be applied on an enterprise level. [graphic: expanding sphere that gradually encompasses the list above]
GEIA 859 says (on pages 2 and 3):
Data has many purposes, including stating requirements, providing proof of achievement, establishing a basis for long-term product support, and many others. Deliverable data (customer-accessible information) represents only a small fraction of the project data. In general, a vast amount of design, development, fabrication, and manufacturing data remains the intellectual property of the developer/producer. Further, the value of data is not limited to its use in support of a particular product: data may have a life cycle longer than that of the product it describes. For instance, data from previous projects forms part of the foundation for new product and process design. Data also supports the enterprise in process redesign and quality. Thus data is essential to competitive position. An enterprise’s dataif not properly safeguardedcan also be misused by a competitor to the competitor’s advantage. For these reasons, data is an integral part of an enterprise’s intellectual assets and overall enterprise knowledge.
The rapidity of the DM process must match the rapidity of the product development cycle. [animation: two speeding items, one catching up]
Formerly, data products were delivered on paper, which then evolved to electronic transmissions. Now they are maintained in DM systems to which access is granted as needed. [images that morph: paper to formatted to ‘dipping into’ a portal]
Data management protection has evolved from locked file cabinets to firewalls on electronic systems.
References: in GEIA 859
Forward and Introduction
Electronic repositories (principles 1, 4, 5)
Paper environment (principles 1,4,5 and 7 and Annex C)
Electronic access (principles 1, 3, and 6)
Business environment (principle 3, 6)
Physical protection (principles 6 and 7)
DM is now performed in real time!

4. Benefits of New Data Management
Cost, personnel, and time reduction
Traceability of decisions
Right the first time
Retrievability and reuse
New enterprise capabilities
Support to litigation
Presentation
Explanatory Material:
Data is a byproduct of engineering and other business processes. With the use of electronic systems, and the acceptability of supplier formats, data delivery can be a marginal portion of the overall cost—but only when good DM ensures its retrievability.
When product development data is linked to program data, finance data, etc., the full business context of decisions can be recreated.
Rigorous adherence to processes minimizes the cost of rework
Data can be reused only if 1) it can be located and retrieved and 2) if it is appropriate for the new use contemplated. Appropriate reuse can be determined only if the context of original creation is preserved. This is one reason DM applies to business and programmatic data as well as engineering and product data.
As an enterprise expands its management of data beyond contractual deliveries it increases its ability to maintain and reuse previously untapped data resources.
The results of litigation issues are often dependent on quality and quantity of managed data and retrievability.
References:
Resource reduction:
Decision traceability: 1,2,3,5,7 and Annex D)
Reuse: Principles 3, 5, 7 and 8)
Litigation:
Retrievability: Principle 7
Enterprise capability: 3
Benefits of DM are immediate!

5. What is Data Management?
“The disciplined processes and systems that plan for, acquire, and provide stewardship for product and product-related business data, consistent with requirements, throughout the product and data life cycles. 1
Source 1 ANSI-GEIA 859 Data Management Standard
Suggested graphic:
DM is an established disciplined process!

6. Suggested graphic for previous slide (in a pop up window)

7. Technology Opportunities
User Needs and
Technology Opportunities
Q: Where Should
DM Begin?
A: As soon in
the lifecycle
as possible. A B C
Concept
Refinement
Technology
Development
System Development
And Demonstration
Production &
Deployment
Operations &
Support
Pre-Systems Acquisition
Systems Acquisition
Sustainment
Concept Design
Review
Design Readiness
Review
FRP Design
Review