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NERCOMP

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April 5, 2006. What is the MIT Data Warehouse? ... April 5, 2006. Admissions MIT Card - Pictures. Alumni MIT Id. Benefits OSP Award & Proposal ... – PowerPoint PPT presentation

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Title: NERCOMP


1
NERCOMP Getting Data Out - SIG Mary
Weisse Manager, MIT Data Warehouse mca_at_mit.edu 617
-253-5398
2
What is the MIT Data Warehouse?
  • Central repository for administrative data and
    meta data that can be easily accessed by members
    of the MIT community.
  • http//web.mit.edu/warehouse

3
Why is it important?
  • A tool to help users make better
  • business decisions.
  • Provides integrated data from various
    administrative departments.
  • Provides historical reporting based on
    current past situations.
  • The data is in a place that is accessible.
  • The data is in a form that is easily
  • understood by the community.

4
Design Focus
  • End User Reporting
  • Facilitating System Feeds
  • Central Reporting

5
What data are available?
  • Admissions MIT Card - Pictures
  • Alumni MIT Id
  • Benefits OSP Award Proposal
  • Course Catalog Payroll (July 1, 2006)
  • Degree Pre-registration
  • EHS Procurement
  • Facilities/Plant Maintenance Orders Roles
    /Authorization
  • Financial Space
  • Financial Aid Student
  • Graduate Awards Subject Enrollment
  • Instructor Telephone
  • HR (Employees, Positions, Appointments) TLO
  • Kerberos Vacation/Absences (July 1, 2006)
  • Keys VAPS
  • Libraries (Circulations, Collection Web
    Statistical Data
  • Management, Serials Control,
  • Processing)

6
Design Process
  • Analysis Design
  • Data Administration Issues
  • - Missing data - Data business
    issues/policies
  • Naming conventions - Agreed upon definitions
  • Data integrity rules - Data verification policies
  • Ownership/custodial rules assumptions
  • Extracts
  • Data Translation, Load, Verification
  • Minimal time spent here automated generic
    process
  • Customer Support

7
Conceptual Data Model
8
Star Schema
9
High Level Design
10
Department Master Hierarchy
11
Authorizations
12
Access Methods
  • Data access tools
  • Extracts and Feeds
  • User Interfaces.
  • SQL

13
User Support
  • Formal Training
  • Tools
  • Data
  • User Groups
  • One-on-one
  • Local Experts
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