Seven Key Intervention of Data Warehouse Success

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Seven Key Intervention of Data Warehouse Success

• By Yahya Alhawsawi

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Articles Main Points

• To integrate business need and features of
  information technology is important for data
  warehouse success
• Interaction of the context with the technology
  is the key to understanding data warehouse
  success. Based on the nature of these
  interactions, seven interventions are identified.

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Study Result

• AST is used for the study as provides high
  degree of interaction between the technological
  dimensions and the contextual features of a data
  warehouse

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Continue..

• Usually top-down approach is ideal for data
  warehouse success, but sometimes bottom up
  approach also can bring success
• So, not having a champion is not necessarily a
  death sentence for a technology
• Both Management and users should understand
  value of data warehouse in business

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Seven Key Interventions for Data Warehouse Success

• Intervention In Projects Design Phase
• Do Users support data
• warehouse?
• Do Top Managers
• support the data
• warehouse?

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Intervention Points during Design Phase

• Do users want
• access to
• broad range of data?
• Do users want
• limited data access
• and analysis tool?

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Intervention Points during Training Support
Phase

• Do users understand
• the task fit?
• Do users perceive
• IT as supportive?
• Does the unit have
• one or more power
• user?

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Key Terms Interpretation

• Data Warehouse A data warehouse is a repository
  (collection of resources that can be accessed to
  retrieve information) of an organization's
  electronically stored data, designed to
  facilitate reporting and analysis
• Data Mart A data mart is a subset of an
  organizational data store, usually oriented to a
  specific purpose or major data subject, that may
  be distributed to support business needs.

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Continue.. .. ..

• AST Adaptive Structuration Theory
• Inmon's paradigm Data warehouse is one part of
  the overall business intelligence system. An
  enterprise has one data warehouse, and data marts
  source their information from the data warehouse.
  In the data warehouse, information is stored in
  3rd normal form.

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Do I agree with the articles methods, analysis
and conclusions?
I like the articles method, analysis and the
conclusion. Just, if they took interview of all
types of users (Manager/IT Person/Regular user)
was not clearly mentioned. I think, that should
have been cleared for better assessment of this
study.
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What changes would you make to improve the
article?
After making the paper research I would like
to go to the different industries and take
interview of managers, IT people, regular users
to know more inside facts and problems they faced
from their aspects. I believe that would be more
useful.
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Conclusion
Data warehouse can be successful or failure for
different teams in a same organization depending
on presence of some factors. First, technology
initiatives should be more business driven than
IT driven. Both management and users clearly know
the value of using technology in context of
business need. Second, users must be trained
enough to know how to use the technology.
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Continue
Thirdly, users must know the task fit of the
technology. How much a technology can support the
business need and how much users understand this
significance influences success of a technology
in a business environement.
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Thank You