The document discusses requirements for a data warehousing project, including defining business needs, prioritizing requirements, planning the project, and collecting requirements through interviews and facilitated sessions. It provides details on conducting interviews to identify business processes, measures of success, and data sources. Additionally, it presents tips for effective requirements gathering, such as preparing interviewees and maintaining schedule flexibility.

1. DATA WAREHOUSING
Requirements
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2. 2

3. Technology is important; business value is
mandatory.
 Define enterprise-level business
requirements
 Prioritize business requirements
 Plan the project
 Define project-level business requirements

4.  What is the problem area?
 How does the business you approach it?
 Is the data available?
 Who will use the results?
 Who cares?

5.  Give me the annual revenue of all my
product lines divided over all the sales
regions over the last 3 years
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6.  Give me the top 10 of most profitable
products this year
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7.  Give me the top 10 of most sold
products of last year
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8.  Give me the top 10 of most profitable
customers
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9.  Compare the YTD revenue with the one
in the same period last year and the
target
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10.  Collecting the Requirements
 Interviews
▪ With individuals (or very small groups)
 Facilitated Sessions
▪ Brainstorming with a larger group led by a facilitator
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11.  Each one takes more time than interviews,
but may generate more
 Requires an experienced facilitator
 Requires an initial understanding of the user
area
 Participants feed of of each others ideas
 Participants can negotiate disagreements
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12. Prepare
Conduct Conduct IT
Business Interviews Interviews Use Data Profiles
to Research Data
Sources
Write up Interview Summaries
Identify Business Processes
Build Initial Bus Matrix
Conduct Prioritization Session
Write Requirements Definition
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13.  Business Executive
 What are the business issues?
 What is your vision?
 Business Manager or Analyst
 What are your measures of success?
 What data do you use?
 What analysis do you typically do?
 IS Data Audit
 Data quality or quantity issues?
 Potential roadblocks (political or technical)?
 How is ad hoc analysis conducted?
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14.  Interviews
 Interview Team
▪ lead interviewer, scribe, observers
 Conducting the Pre-interview Research
 Selecting the Interviewees
 Developing the Interview Questionnaires
 Scheduling the Interviews
 Preparing the Interviewees
 Conducting the Interviews
▪ Interviewer Rules
▪ Remember your Interview Role
▪ Verify Communications
▪ Define Terminology
▪ Establish Peer Basis
▪ Maintain Schedule Flexibility
▪ Avoid Interview Burnout
▪ Manage Expectations Continuously
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15. Process Date Product Vendor Shipper Dist Store Promo
Cntr
Purchase X X X X
Orders
Dist Cntr X X X X X
Deliveries
Dst Cntr X X X
Inventory
Store Deliveries X X X X X
Store Inventory X X X
Store Sales X X X X
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