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InterAxiom has
developed the following methodology to address the data warehousing
solution needs of our clients. Our methodology consists of six core
delivery phases plus a seventh phase which we call our "The DatabACE
Framework".
The
DatabACE Framework
As an overview,
Phases 1 and 2 represent InterAxiom's Proof of Concept. During these
phases, the business stakeholders are able to make informed
decisions about the true business impact of an data warehousing
solution initiative. Each subsequent phase is an integral and
distinct step designed to assure the integrity of our clients' data
as it is transformed into a powerful information tool. The seventh
phase is the cohesive element that helps to preserve our clients'
business objectives and prepares them to maximize the potential of
their new intelligence solution.
Phase 1:
Proof of Concept
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Needs
Analysis
is the important first step in determining why the client
requires an data warehousing solution and our services. This is
our first chance to establish a relationship of trust and
understanding with the client.
-
Project
Scope & Definition
drives InterAxiom and the client to outline the boundaries and
limits of the project to maintain manageability. This exercise
often includes a clear and concise end-user prototype
demonstrating the business benefits the initiative will
offer. InterAxiom builds end-user prototypes by applying
intensive, iterative design and development techniques. Samples,
or prototypes, of actual information and/or reports are given to
end-users and business-decision makers for review and comment
throughout the process.
-
Cost/Benefit
Analysis
is the final and most important step in Phase 1. In this step,
the true feasibility of the project is determined and the
customer makes the decision of whether or not to proceed.
Phase 2:
Proof of Concept Review
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Needs
Analysis Confirmed
- A second review of the needs analysis offers the client an
opportunity to better confirm the team's findings or refine the
business needs.
-
Project
Scope & Definition Confirmed
- A second review of the project scope and definition allows the
project and business managers to confirm the approach chosen as
viable and effective.
-
Cost/Benefit
Analysis Confirmed
- The step represents the buy-in of the client and the
opportunity to proceed.
Phase 3
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Conceptual,
Logical, and Physical Data Models
- The project team constructs data models to provide the
structure, framework, and organization of the data within the
data warehousing solution. Emphasis is given to access time and
informational value.
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On-Line
Analytical Processing (OLAP) Tools & Database Management System
(DBMS) Selection
- This step is key to the development and long-term investment
strategies of the project. InterAxiom works closely with the
Information Technology personnel and the business sponsors to
disseminate recommendations for the appropriate OLAP tools and
DBMS. Armed with the correct information, the client makes the
decision with an understanding of the benefits and risks.
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Readiness
Analysis
is the final step of Phase 3 and is designed to determine if the
project team is ready to proceed. Its purpose is to provide an
integral checkpoint that once again represents the buy-in of the
client and the opportunity to proceed.
Phase 4
-
Data
Cleansing
resonates with the simple old, adage of "garbage in, garbage
out." Data warehousing solution projects must construct
data cleansing mechanisms to ensure data from legacy systems is
properly cleansed and its potential maximized.
-
System
Architecture
is designed to maximize information accessibility, data
integrity, and the ability to query, analyze and present
valuable decision supporting information. Full integration of
all applicable tools, while maximizing flexibility and
expandability, is essential to quality system architecture and
the overall performance of the data warehousing solution
engines.
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User
Interface Design
must be user-friendly, comprehensive, and attractive to use. The
reports and analysis information generated must be user-ready
and not require additional input into another application. The
long term success and returns of an data warehousing solution
are, in part, dependent on project team' s ability to achieve
true user acceptance.
Phase 5
-
Information
Population
is the step that actually feeds the data warehousing solution
with data. Essential to this step is the incorporation of a long
term strategy for daily, weekly, or monthly feeds from outside
data sources.
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Software
Development
- The size and complexity of data warehousing solutions often
offer the opportunity to incorporate continuous software
development. In this step the focus is on the customers'
specifications for customization and augmentation. A Usability
Lab is employed in the first phase of the rollout of the data
warehousing solution to the end-users. This is the opportune
time for the business decision-makers and end-users to identify
and implement 'last minute changes' with minimal impact to the
program roll-out; test the user friendliness of the program; and
inform other potential end-users and key personnel of the
program.
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Quality
Assurance (QA) & Pilot Program
incorporates a final checkpoint by all project participants to
ensure that the progress has driven the team toward a viable and
realistic business information solution. Ideally, the pilot
program will clearly demonstrate the efforts and success of the
team.
Phase 6
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System
Release
is the full implementation of the data warehousing solution to
the end user community in a production mode. It provides
the technical teams with immediate feedback from the end-user
and helps them to better manage minor adjustments to the data
warehousing solution. Also, the end-users and business customers
can quickly determine if system alterations or enhancements
would lead to a more beneficial data warehousing solution.
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Post
Cost/Benefit Analysis
is an exercise that not only shows our commitment to the
client's financial objectives but also readily displays the
immediate return on investment that the data warehousing
solution will provide.
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Follow-up
Plan
- This step includes maintenance plans, data feed management
plans, and system enhancements.
Phase 7
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Internal
Customer Satisfaction
- This step is conducted by a third party to offer InterAxiom a
continuous improvement opportunity with every project.
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Metrics
- The development of cohesive, accurate, and informative
performance and business impact metrics are crucial to the
long-term investment in the evolution of the data warehousing
solution as it strives to meet the business needs.
If you're
interested in more information about InterAxiom's DatabACE
Framework Approach & Methodology and how it might help in your
data warehousing and business intelligence solution development
efforts, please
contact us.
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