DataEd Webinar: Unlocking Business Value Through Data Modeling and Data Architecture (Part 2 of 2)

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Welcome: Data Modeling & Data Architecting for Business Value pt. 2

When
asked
why
they
are
architec0ng
data,
many
in
the

prac0ce
answer:

"Because
that
is
what
must
be
done."

However,
a
be>er
approach
to
this
ques0on
is
to
speak
in

terms
that
are
understood
in
the
execu0ve
suite
–
business

results!

All
of
our
organiza0ons
are
faced
with
various

organiza0onal
challenges
that
require
analysis.

Building

new
systems
is
just
one
example.

This
webinar
describes

the
use
of
data
architec0ng
as
a
basic
analysis
method
(one

of
many
that
good
analysts
should
keep
in
their
“toolbox").

I
will
demonstrate
various
uses
of
data
architec0ng
to

inform,
clarify,
understand,
and
resolve
aspects
of
a
variety

of
business
problems.

As
opposed
to
showing
how
to

architect
data,
I
will
show
how
to
use
data
architec0ng
to

solve
business
problems.

The
goal
is
for
you
to
be
able
to

envision
a
number
of
uses
for
data
architectures
that
will

raise
the
perceived
u0lity
of
this
analysis
method
in
the

eyes
of
the
business.
Date: February 12, 2013
Time: 2:00 PM ET
Presented by: Peter Aiken, PhD
PRODUCED BY CLASSIFICATION DATA SLIDE
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013 1
© Copyright this and previous years by Data Blueprint - all rights reserved!

Get Social With Us!
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Join the conversation! www.facebook.com/ Data Management &
Follow us: datablueprint Business Intelligence
@datablueprint Post questions and Ask questions, gain insights
comments and collaborate with fellow
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Find industry news, insightful data management
Ask questions and submit
content professionals
your comments: #dataed
and event updates.


Meet Your Presenter: Dr. Peter Aiken

• Internationally recognized thought-
leader in the data management
field - 30 years of experience
– Recipient of multiple international
awards
– Founder, Data Blueprint
(http://datablueprint.com)
• 7 books and dozens of articles
• Experienced w/ 500+ data
management practices in 20
countries
• Multi-year immersions with
organizations as diverse as the
US DoD, Deutsche Bank, Nokia,
Wells Fargo, the Commonwealth
of Virginia and Walmart
3 - datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

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Upcoming Special Event
Leading the Data Asset Management Team: CDO or
Top Data Job?
Join Peter Aiken, Ph.D. and Micheline Casey for
this interactive discussion on the role of Chief Data
Officer (CDO) or Top Data Job (TDJ).

Attendees will be presented with big ideas and alternative ways
not only for how to think about the role of CDO/TDJ but also how
to plan and establish a CDO/TDJ position at their organizations.
This webinar is intended to provide viewers with deep insights from
two data management thought leaders.

March 19, 2013 @ 2:00 PM ET/11:00 AM PT

Brought to you by:

4
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION

Data Modeling &
Data Architecting
for Business
Value pt. 2

Peter Aiken: Data Modeling & Data Architecting for Business Value pt. 1
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 2/12/2013

TITLE

Agenda
1. What is Data Management/DAMA/DM
BoK/CDMP?
2. Brief review of Part 1
3. What is Data/Information
Architecture?
4. Why is Data/Information Architecture
Important?
5. Data Engineering/Leverage
6. Example: Software Package
Implementation
7. Example: Donation Center
Processing
8. Example: Text Mining/Analytics Tweeting now:
#dataed
9. Take Aways, References & Q&A
PRODUCED BY CLASSIFICATION DATE SLIDE
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 7

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Five Integrated DM Practices

#dataed

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Five Integrated DM Practices
Manage data coherently.

Data Program
Coordination
Share data across boundaries.
Organizational
Data Integration

Data Stewardship Data Development

Assign responsibilities for data.
Engineer data delivery systems.

Data Support
Operations

Maintain data availability.

#dataed

Data Management Practices Hierarchy (after Maslow)
• 5 Data
Management
Practices Areas /
Data Management
Basics
• Are necessary but
insufficient
Advanced
prerequisites to Data
organizational data Practices
leveraging • Cloud
applications • MDM
• Mining
(that is Self Actualizing
• Analytics
Data or Advanced Data • Warehousing
Practices) • Big

Basic Data Management Practices
– Data Program Management
– Organizational Data Integration
– Data Stewardship
– Data Development
– Data Support Operations

http://3.bp.blogspot.com/-ptl-9mAieuQ/T-idBt1YFmI/AAAAAAAABgw/Ib-nVkMmMEQ/s1600/maslows_hierarchy_of_needs.png
- datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

TITLE
Data
Management
Func-ons

DAMA DM BoK & CDMP
• Published by DAMA International
– The professional association for Data
Managers (40 chapters worldwide)
– DMBoK organized around
– Primary data management functions
focused around data delivery to the
organization (more at dama.org)
– Organized around several environmental
elements
• CDMP
– Certified Data Management Professional
– DAMA International and ICCP
– Membership in a distinct group made up of
your fellow professionals
– Recognition for your specialized knowledge
in a choice of 17 specialty areas
– Series of 3 exams
– For more information, please visit:
• http://www.dama.org/i4a/pages/index.cfm?
pageid=3399
• http://iccp.org/certification/designations/cdmp #dataed

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Agenda
BoK/CDMP?
Architecture?
Important?
Implementation
Processing
#dataed

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Data Modeling for Business Value (REVIEW)
• Goal must be shared IT/business understanding
– No disagreements = insufficient communication
• Data sharing/exchange is largely and highly automated and
thus dependent on successful engineering
– It is critical to engineer a sound foundation of data modeling basics
(the essence) on which to build advantageous data technologies
• Modeling characteristics change over the course of analysis
– Different model instances may be useful to different analytical problems
• Incorporate motivation (purpose statements) in all modeling
– Modeling is a problem defining as well as a problem solving activity - both are inherent to
architecture
• Use of modeling is much more important than selection of a specific
modeling method
• Models are often living documents
– The more easily it adapts to change, the resource utilization
• Models must have modern access/interface/search technologies
– Models need to be available in an easily searchable manner
• Utility is paramount
– Adding color and diagramming objects customizes models and allows for a more engaging
and enjoyable user review process
Inspired by: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2

TITLE

Agenda
BoK/CDMP?
Architecture?
Important?
Implementation
Processing
#dataed

Data Architecture Management

from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International


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Levels of Abstraction, Completeness and Utility

• Models more downward facing - detail
• Architecture is higher level of abstraction - integration
• In the past architecture attempted to gain complete
(perfect) understanding
– Not timely
– Not feasible
• Focus instead on
architectural components
– Governed by a framework
– More immediate utility
• http://www.architecturalcomponentsinc.com


Architecture
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Architecture is both the process and product
of planning, designing and constructing
space that reflects functional, social, and
aesthetic considerations.
A wider definition may comprise all design
activity from the macro-level (urban design,
landscape architecture) to the micro-level
(construction details and furniture).
In fact, architecture today may refer to the
activity of designing any kind of system and
is often used in the IT world.

Architecture Representation
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• Architectures are the symbolic
representation of the structure,
use and reuse of resources
• Common components are represented
using standardized notation
• Are sufficiently detailed to permit both
business analysts and technical personnel
to separately read the same model, and
come away with a common understanding
and yet they are developed effectively

Understanding
• A specific definition
– 'Understanding an architecture'
– Documented and articulated as a digital blueprint
illustrating the
commonalities and
interconnections
among the
architectural
components
– Ideally the understanding
is shared by systems and humans


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Typically Managed Architectures
• Process Architecture
– Arrangement of inputs -> transformations = value -> outputs
– Typical elements: Functions, activities, workflow, events, cycles, products,
procedures
• Systems Architecture
– Applications, software components, interfaces, projects
• Business Architecture
– Goals, strategies, roles, organizational structure, location(s)
• Security Architecture
– Arrangement of security controls relation to IT Architecture
• Technical Architecture/Tarchitecture
– Relation of software capabilities/technology stack
– Structure of the technology infrastructure of an enterprise, solution or system
– Typical elements: Networks, hardware, software platforms, standards/protocols
• Data/Information Architecture
– Arrangement of data assets supporting organizational strategy
– Typical elements: specifications expressed as entities, relationships, attributes,
definitions, values, vocabularies

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Information Architectures
• The underlying (information) design principals upon which construction is based
– Source: http://architecturepractitioner.blogspot.com/
• … are plans, guiding the transformation of strategic organizational information
needs into specific information systems development projects
– Source: Internet
• A framework providing a structured description of an enterprise’s information
assets — including structured data and unstructured or semistructured content —
and the relationship of those assets to business processes, business
management, and IT systems.
– Source: Gene Leganza, Forrester 2009
• "Information architecture is a foundation discipline describing the theory,
principles, guidelines, standards, conventions, and factors for managing
information as a resource. It produces drawings, charts, plans, documents,
designs, blueprints, and templates, helping everyone make efficient, effective,
productive and innovative use of all types of information."
– Source: Information First by Roger & Elaine Evernden, 2003 ISBN 0 7506 5858 4 p.1.
• Defining the data needs of the enterprise and designing the master blueprints to
meet those needs
– Source: DM BoK


What do you use an information architecture for?

23 - datablueprint.com
Illustration by murdock23 @ http://designfestival.com/information-architecture-as-part-of-the-web-design-process/
2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

Data Architecture – Better Definition
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• Common vocabulary expressing
integrated requirements ensuring
that data assets are stored,
arranged, managed, and used in
systems in support of
organizational strategy*
• All organizations have *Source: Aiken 2010

information architectures
• Some are better understood and
documented (and therefore
more useful) than others

Vocabulary is Important-Tank, Tanks, Tankers, Tanked


How one inventory item proliferates data throughout the chain

555 Subassemblies & subcomponents System 1:
18,214 Total items
75 Attributes/ item
1,366,050 Total
17,659 Repair parts or Consumables attributes

System 2 System 3 System 4 System 5
47 Total items 16,594 Total items 8,535 Total items 15,959 Total items
15+ Attributes/item 73 Attributes/item 16 Attributes/item 22 Attributes/item
720 Total attributes 1,211,362 Total 136,560 Total attributes 351,098 Total attributes

Total for the five systems show above:
59,350 Items
179 Unique attributes
3,065,790 values


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Business Value
• Agency units are carrying $1.5 billion worth of
expired inventory
– Generates unnecessary costs and negative
impacts on operations, including:
• Mission Readiness
• Storage
• Handling
• Opportunity
• Systemic
• Maintenance

TITLE

Agenda
BoK/CDMP?
Architecture?
Important?
Implementation
Processing
#dataed

Why Architectural Models?
• Would you build a house without an • Model is the sketch of the system to
architecture sketch? be built in a project.

• Would you like to have an estimate • Your model gives you a very good
how much your new house is going to idea of how demanding the
cost? implementation work is going to be!

• If you hired a set of constructors from • Model is the common language for the
all over the world to build your house, project team.
would you like them to have a
common language?
• Would you like to verify the proposals • Models can be reviewed before
of the construction team before the thousands of hours of implementation
work gets started? work will be done.

• If it was a great house, would you like • It is possible to implement the system
to build something rather similar again, to various platforms using the same
in another place? model.

• Would you drill into a wall of your • Models document the system built in a
house without a map of the plumbing project. This makes life easier for the
and electric lines? support and maintenance!

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Architecture Examples: Bad


Poor Quality Foundation


What they think they are purchasing!


TITLE

Polling Question #1
Do you believe that your organization has a solid data
architectural foundation on which to build their IT
projects?

a) Yes
b) No


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Polling Question #2
Do you believe that your organization is capable of
building a solid data architectural foundation on which to
build their IT projects?

a) Yes
b) No


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Context Diagrams Show System Boundaries


Too Much Detail
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Web Developers Understand IA
TITLE

http://www.jeffkerndesign.com


Database
Architecture
Focus
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Program D
Program G
Application Program E
Application Program H domain 2
domain 3
Program F
Program I

#dataed

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Data
Architecture
Focus
has
poten-ally
greater
Business
Value

#dataed

A Model Specifying Relationships Among Important Terms
Wisdom & knowledge are
often used synonymously

Intelligence
Data

Information Use
Data

Data Request
Data
Data

Fact Meaning
Data Data
1. Each FACT combines with one or more MEANINGS.
2. Each specific FACT and MEANING combination is referred to as a DATUM.
3. An INFORMATION is one or more DATA that are returned in response to a
specific REQUEST
4. INFORMATION REUSE is enabled when one FACT is combined with more than
one MEANING.
5. INTELLIGENCE is INFORMATION associated with its USES.
[Built on definition by Dan Appleton 1983]

How are data structures expressed as architectures?
• Details are A B
organized into
larger C D
components
• Larger A B
components
C
are organized ? D
into models
• Models are A B
organized into
architectures
D


Architectures Comprise a Network of Networks


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How are Data Models Expressed as Architectures?
• Attributes are organized into entities/objects
– Attributes are characteristics of "things"
– Entitles/objects are "things" whose information is managed in support of
strategy
– Examples
• Entities/objects are organized into models
– Combinations of attributes and entities are structured to represent
information requirements
– Poorly structured data, constrains organizational information delivery
capabilities
– Examples
• Models are organized into architectures
– When building new systems, architectures are used to plan development
– More often, data managers do not know what existing architectures are
and - therefore - cannot make use of them in support of strategy
implementation
– Why no examples?
#dataed

How do data structures support organizational strategy?
• Consider the opposite question?
– Were your systems explicitly designed
to be integrated or otherwise work
together?
– If not then what is the likelihood that
they will work well together?
– In all likelihood your organization is
spending between 20-40% of its IT
budget compensating for poor data
structure integration
– They cannot be helpful as long as their
structure is unknown
• Two answers
– Achieving efficiency and
effectiveness goals
– Providing organizational dexterity for
rapid implementation

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What Questions Can Architectures Address?
• How and why do the Human resources
components interact? Policies,
directives,
• Where do they go? and rules
• When are they needed?
• Why and how will the
changes be Communication facilities
implemented?
• What should be Computers
managed organization-
wide and what should be Management
managed locally? responsibilities

• What standards should
be adopted?
Software Data
• What vendors should be
chosen?
• What rules should
govern the decisions?
• What policies should
guide the process?

TITLE Data Architectures produce and are made up of information models that
are developed in response to organizational needs

satisfy specific organizational needs
Organizational Needs

become instantiated
and integrated into an Data/Information
Architecture

authorizes and
! articulates
!

!

!

Informa(on)System)

Requirements
#dataed

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Polling Question #3
• Our organization is using enterprise data
modeling to achieve integration
– a) Yes
– b) No


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Polling Question #4
• Our organization should be using enterprise
data modeling to achieve integration
– Yes
– No


TITLE

Agenda
BoK/CDMP?
Architecture?
Important?
Implementation
Processing
#dataed

T
s RO
s
Process Le

Data Leverage

Technologies People

• Data Leverage permits organizations to better manage their most
powerful yet under-utilized, poorly managed, durable asset - data
– within the system and
– with organizational data exchange partners.
• Leverage is obtained by implementation of data-centric technologies,
processes, and human skill sets.
• Leverage is increased by elimination of data ROT (redundant,
obsolete, or trivial)
• Treating data more asset-like simultaneously
1. lowers organizational IT costs and
2. increases organizational knowledge worker productivity

Architecture Evolution

Validated

Not
Validated

Conceptual Logical Physical


Application-Centric Development

• In support of strategy, the organization
develops specific goals/objectives
• The goals/objectives drive the Strategy
development of specific systems/
applications
• Development of systems/applications Goals/Objectives
leads to network/infrastructure
requirements
• Data/information are typically
Systems/Applications
considered after the systems/
applications and network/
infrastructure have been articulated
• Problems with this approach: Network/Infrastructure
– This ensures that data is formed
around the application and not
the organizational information
requirements Data/Information
– Process are narrowly
formed around applications
– Very little data reuse is possible Original articulation from Doug Bagley @ Walmart

53 - IA-2 datablueprint.com 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

Data-Centric Development Flow
• In support of strategy, the organization
develops specific goals/objectives
• The goals/objectives drive the Strategy
development of specific data/
information assets with an eye to
organization-wide usage
Goals/Objectives
• Network/infrastructure components are
developed to support organization-
wide use of data
Data/Information
• Development of systems/applications
is derived from the
data/network architecture
• Advantages of this approach: Network/Infrastructure
– Data/information assets are
developed from an
organization-wide perspective
– Systems support organizational Systems/Applications
data/information needs and
compliment organizational
process flows
– Data/information reuse is maximized Original articulation from Doug Bagley @ Walmart


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Why is Data Architecture Important?
• Poorly understood
– Data architecture asset value is
not well understood
• Inarticulately explained
– Little opportunity to obtain learning and
experience
• Indirectly experienced
– Cost organizations millions each year in
productivity/redundant and siloed efforts
– Example: Poorly thought out software
purchases

Architectural Work Product
Components may be defined as:
• The intersection of common business functionality and the
subsets of the organizational technology and data
architectures used to implement that functionality
• Component definition is an important activity because CM2 component
engineering is focused on an entire component as an analysis unit. A
concrete example of a component might be
– the business processes, the technology and the data supporting
organizational human resource benefits operations. This same
component could be described simply as the "PeopleSoft™ version
7.5 benefits module implemented on Windows 95." illustrates the
integration of the three primary PeopleSoft metadata structures
describing the: business processes used to organization the work
flow, menu navigation required to access system functionality, and
data which when combined with meanings provided by the panels
provided information to the knowledge workers.

Engineering Standards


Hierarchical System Functional Decomposition

System
Process

Process Process Process
1 2 3

Subprocess Subprocess Subprocess
1.1 1.2 1.3


L evel 1 L evel 2 L evel 3
P ay E mployment Recruitment
and Selection
personnel P ersonnel E mployee relations
administration E mployee compensation changes
Salary planning A three-level
Classification and pay decomposition of
J ob evaluation
Benefits administration
the model views
Health insurance plans from the
F lexible spending accounts
G roup life insurance
governmental pay
Retirement plans and personnel
P ayroll P ayroll administration
P ayroll processing
scenario
P ayroll interfaces
Development N/A
Training Career planning and skills
administration inventory
Work group activities
Health and Accidents and workers
safety compensation
Health and safety programs

H ea lth ca r e system
1 Patient administration
1.1 R egistration 6 R adiology
1.2 Admission 6.1 Scheduling
1.3 Disposition 6.2 E xam processing
1.4 Transfer 6.3 E xam reporting
1.5 M edical record 6.4 Special interest and
1.6 Administration teaching
1.7 Patient billing 6.5 R adiology workload
1.8 Patient affairs reporting
1.9 Patient management
7 C linical dietetics
2 Patient appointments 7.1 E stablish parameters
and scheduling 7.2 R eceive diet orders
2.1 C reate or maintain

2.2
schedules
Appoint patients
8
8.1
Order entry and r esults
R eporting A relatively
8.2 E nter and maintain
2.3
2.4
2.5
R ecord patient encounter
I dentify patient
I dentify health care 8.3
orders
Obtain results
complex model
3
provider
Nursing
8.4

8.5
R eview patient
information
C linical desktop
view
3.1
3.2
Patient care
U nit management
9 System management decomposition
9.1 Logon and security
4 Laboratory management
4.1 R esults reporting 9.2 Archive run
4.2 Specimen processing M anagement
4.3 R esult entry processing 9.3 C ommunication software
4.4 Laboratory management 9.4 M anagement
4.5 Workload support 9.5 Site management
5 Pharmacy 10 F acility quality assurance
5.1 U nit dose dispensing 10.1 Provider credentialing
5.2 C ontrolled Drug 10.2 M onitor and evaluation
I nventory
5.3 Outpatient


TITLE
Polling Question #5
• My organization uses the following
approaches to achieve organizational
integration
A)Organizational data modeling
B)Creates point to point interconnectivity
C)Distributed systems implementation
D)My organization is not
following a programmatic
approach to integration


TITLE

Agenda
BoK/CDMP?
Architecture?
Important?
Implementation
Processing
#dataed

Challenge

Package Implementation Example
• "Green screen" legacy system to be replaced with
Windows Icons Mice Pointers (WIMP) interface; and
• Major changes to operational processes
– 1 screen to 23 screens
• Management didn't think workforce could adjust to
simultaneous changes
– Question: "How big a change will it be to replace all instances of
person_identifier with social_security_number?"
• Answer:
– (from "big" consultants) "Not a very big change."

PeopleSoft Process Metadata

Home Page Name
Home Page

(relates to one or more)

Business Process Name Business Process
Name

Business Process
Business Process Component Name Component

Business Process
Business Process Component Step Name Component Step


processes homepages menugroups
(39) (7) (8)
(41) (8)

(182)
Peoplesoft Metadata Structure (86)

components stepnames menunames
(180) (822) (86)
(949)

(847) (281)

panels menuitems menubars
(1421) (1149) (31)
(1916) (1259)

(25906)
(5873)
(264)
fields records parents
(7073) (2706) (264)

(708) (647)
• Home Page Name
• Business Process Name
(347)
(647)
• Business Process Component Name reports children
• Business Process Component Step Name (347)
(647)

Business Value - Better Decisions
Quantity System Time to make Labor Hours
Component change
1,400 Panels 15 minutes 350
1,500 Tables 15 minutes 375
984 Business 15 minutes 246
process
component
steps
Total 971
X $200/hour $194,200
X 5 upgrades $1,000,000


TITLE

Agenda
BoK/CDMP?
Architecture?
Important?
Implementation
Processing
#dataed

A National Cancer Institute
• This Virginia cancer center is
a leader in shaping the fight
against cancer
• Over 500 researchers and
staff tend to over 12,000
patients annually
• This requires robust
information management and
analytical services
• The problem: It takes 1 month
to run a report on an incident,
i.e. a patient’s hospital visit
that shows all touch points


Current State Assessment

SQ
SA SQ
Hospital L SQ
S Text SQ Claims L
Claims Files FTP Access FTP L
L Database
Physician SA
Invoices S
SQ
L
Cancer File Text FTP or
Files Email
Registry Export
Excel

Other Departments

Word
Word
Word Excel

Patient Patient
(Hospital) (Physician)
Patient
(Registry)
Billing Data Diagnoses Billing Data Diagnoses
(Hospital) (Hospital) (Physician) (Physician)
Diagnoses
(Registry)

Physicians Physicians
(Hospital) (Physician)

7

Conceptual Target Architecture

SSI SSI
Hospital Claims S S SSA
S
Physician SSI SSI Consolidated/
S Staging S
Invoices Sandbox
Re SharePoint
usa
Cancer SSI ble
rep SSR Excel
Registry S o rt
s S
Email

One
-o ff re
p orts
RP
T
Other Departments

Patient
(Consolidated)

Diagnoses Patient
(Hospital) Demographics

Diagnoses Diagnoses Billing Data Physicians
(Consolidated) (Physician) (Hospital) (Hospital)

Physicians
(Consolidated)
Diagnoses Billing Data Physicians
(Registry) (Physician) (Physician)

10

Business Value - Improving Productivity
Manipulation Analysis
100
75
50
25
0
Current Improved
• Currently:
– Analysts spend 80% of their time manipulating data and 20% of their time
analyzing data
– Used to take 1 month to produce key reports
• After rearchitecting:
– Analysts spend 20% of their time manipulating data and 80% of their time
analyzing data
– Two days to produce key reports

Rough Estimates on Improvements to Modeling Analyses
100%

• Modelers/analysts are 80%
1
expensive knowledge 60%
2
workers
40%
• 80% of their time is spent
20% 3
searching for information
0%
• 20% of their time is spent 80% 60%
Searching
40% 20%
Analysis
acting on the retrieved information
• An improvement of 25% (from 80% search to 60%) could
yield a doubling of modeler/analyst productivity - a 10 to
one payoff
• A 75% improvement (from 80% search to 20%) could yield
a 5 X improvement ...
• ... and a similar multiplier implying the opportunity for 10X
(OOM) improvements in systems development time

TITLE

Agenda
BoK/CDMP?
Architecture?
Important?
Implementation
Processing
#dataed

Engineering/
Architecting
Relationship
• Architecting is used to
create and build systems
too complex to be treated
by engineering analysis Engineering
alone
• Architects require
technical details as the Architecture
exception
• Engineers develop the
technical designs
• Craftsman deliver
components supervised
by:
– Building Contractor
– Manufacturer 2/14/2013 © Copyright this and previous years by Data Blueprint - all rights reserved!

What is this?

• It is tall
USS Midway
• It has a clutch & Pancakes
• It was built in 1942
• It is still in regular use!


Text Mining/Analytics Example
• Challenge
– Millions of NSN/SKUs
maintained in a catalog
– Key and other data stored in
clear text/comment fields
– Original suggestion was manual
approach to text extraction
– Left the data structuring problem unsolved
• Solution
– Proprietary, improvable text extraction process
– Converted non-tabular data into tabular data
– Saved a minimum of $5 million
– Literally person centuries of work

The Business Value of Diminishing Returns
Unmatched Ignorable Items
Items Items Matched
Week # (% Total) (% Total) (% Total)
1 31.47% 1.34% N/A
2 21.22% 6.97% N/A
3 20.66% 7.49% N/A
4 32.48% 11.99% 55.53%
… … … …
14 9.02% 22.62% 68.36%
15 9.06% 22.62% 68.33%
16 9.53% 22.62% 67.85%
17 9.50% 22.62% 67.88%
18 7.46% 22.62% 69.92%

Business Value - Quantitative Benefits
Time needed to review all NSNs once over the life of the project:
NSNs 2,000,000
Average time to review & cleanse (in minutes) 5
Total Time (in minutes) 10,000,000

Time available per resource over a one year period of time:
Work weeks in a year 48
Work days in a week 5
Work hours in a day 7.5
Work minutes in a day 450
Total Work minutes/year 108,000

Person years required to cleanse each NSN once prior to migration:
Minutes needed 10,000,000
Minutes available person/year 108,000
Total Person-Years 92.6

Resource Cost to cleanse NSN's prior to migration:
Avg Salary for SME year (not including overhead) $60,000.00
Projected Years Required to Cleanse/Total DLA Person Year 93
Saved
Total Cost to Cleanse/Total DLA Savings to Cleanse NSN's: $5.5 million

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Agenda
BoK/CDMP?
Architecture?
Important?
Implementation
Processing
#dataed

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Take Aways
• What is an information architecture?
– A structure of data-based information assets supporting implementation of
organizational strategy (or strategies)
– Most organizations have data assets that are not supportive of strategies
- i.e., information architectures that are not helpful
– The really important question is: how can organizations more effectively
use their information architectures to support strategy implementation?
• What is meant by use of an information architecture?
– Application of data assets towards organizational strategic objectives
– Assessed by the maturity of organizational data management practices
– Results in increased capabilities, dexterity, and self awareness
– Accomplished through use of data-centric development practices
(including taxonomies, stewardship, and repository use)
• How does an organization achieve better use of its information
architecture?
– Continuous re-development; the starting point isn't the beginning
– Information architecture components must typically be reengineered
– Using an iterative, incremental approach, typically focusing on one
component at a time and applying formal transformations

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DataEd Webinar: Unlocking Business Value Through Data Modeling and Data Architecture (Part 2 of 2)

DataEd Webinar: Unlocking Business Value Through Data Modeling and Data Architecture (Part 2 of 2)

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