| Data Warehousing |
| Business priorities
and needs |
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| Many businesses
have realized that the only way to sustain an advantage in
today's economic climate is to leverage information better
than their competition. It is imperative to the success of
any data warehousing effort to handle the development in
small, manageable projects that are closely aligned with
business needs and priorities. The business subject areas
(e.g. customer, product, and account) should form the basis
for each of these small projects and the comprehensive data
warehouse. |
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| With its significant
knowledge of relevant business data requirements and related
issues, EZEN is well suited to assist organizations in planning
and defining their data warehouse needs. |
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| EZEN's data
warehouse service offerings are delivered by consultants
who bring knowledge and experience in business systems development,
expertise in current data warehousing tools and techniques,
and proven facilitation skills. EZEN practices knowledge-transfer
throughout the delivery of these offerings, thereby letting
clients control their data warehouse environment once the
client sign-off has been obtained. |
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| EZEN's data
warehouse methodology uses an iterative approach to implement
systems that produce short-term returns, while building the
basis for long-term success. We provide a bridge between
business and information technology by using a robust business-based
methodology to plan, implement and support a data warehouse
solution that meets the goals of the business users. This
plan would be customized to meet specific client needs and
the environment. |
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| Objectives,
planning and requirements |
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| Documentation
of business requirements, priorities, purpose and objectives
of the data warehouse. An incremental implementation strategy
is defined. |
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| Architecture
definition |
| Logical and
technical framework for the data warehouse environment. |
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| Data warehouse
project plan |
| Definition
of scope, success factors, costs, benefits, budget, team
organization, tasks, schedules, resources and issue management. |
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| Data
warehouse business & data analysis |
| IT staff and
end-user requirements are documented. |
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| Data warehouse
development |
| Development
of the database, metadata, user interface, and data. |
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| Data warehouse
testing |
| Testing of
the data warehouse system and user acceptance. |
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| Data warehouse
transition |
| The data warehouse
is moved to the production environment. |
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| Data
warehouse administration & maintenance |
| Cost effective
maintenance can often be performed using EZEN's offshore
facility in Hyderabad, India, or a combination of onsite
and offshore personnel. |
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