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Comparison of Estudias to Reporting Solutions

Although reporting is the most visible aspect of Estudias, it is not possible without the full Estudias Enterprise data warehouse behind it.  Here are the tradeoffs of simply placing a reporting solution on top of your ERP.

 


Reporting Directly Against an ERP
 
 


Estudias

Data Warehouse

Reporting Inconsistencies
  • Data constantly change, results are different from day to day, frustrating executives
  • ERPs overwrite values (i.e. current major, address) making it impossible to see things as they were in the past
  • Data definitions remain unclear -- users remain confused as to which field to use for a given task
     
  • Data may be stored in multiple fields and there is no control over which fields people use to run reports
  • Data remain dirty
  Clean, Consistent Data
  • Users can create snapshots of data at different points in time
  • Data warehouse can record all changes and what date they were changed enabling point-in-time reporting
  • The data warehousing process builds a data dictionary, consolidating information about rules spread across campus into a single, integrated metadata database
  • Show a subset of the fields in ERP -- the correct subset
     
  • Data are checked as they are downloaded; Can be cleansed for reporting
Limited by ERP
  • Limited to fields available on the ERP

     
  • Users are still burdened by the complicated ERP schema -- i.e. reports across budget years or financial aid years can be difficult depending on how the ERP stores data
  • Still restricted to data on the ERP; No way to easily add new data sources

     
  • Rewrite reports if ERP changes
  • No way to consolidate data silos, and other intervention info
     
  • Stops at reporting
     
  • Have to write reports from scratch

 

  Fully Liberated Reporting System
  • Additional metrics for higher education reporting are automatically calculated: cohort, stop-outs, term index, etc.
  • Can use a standard, relational data model to access info

     
  • Data can be integrated from multiple data sources: National Student Clearinghouse, Census, CCSSE / NSSE, or other data sources
  • Only change data file import if ERP changes
  • Estudias Student Engagement Module highly acclaimed for ability to reach out to engage students (i.e. at-risk intervention)
  • Advanced items like OLAP, data mining, ad-hoc reporting allow for more in-depth analysis
  • Comes pre-bundled with reports, metrics currently in use at other institutions

 

Increased Maintenance, Slower Performance
  • Must rewrite reports when ERP changes
     
  • Burden on ERP (especially during registration)
     
  • ERP is optimized for transactions (i.e. registration), not reporting, so complicated queries run slowly
     
  • Limited support for auditing and permissions -- i.e. who is downloading info, when?
     
  • ERP may be built on a database architecture that is antiquated or very expensive to maintain
  Lower Maintenance, Faster Performance
  • When ERP changes, only need to change the way the Estudias tables are populated
  • Data warehouse runs on a separate server, refreshing information at night
  • Estudias is optimized for reporting, so even the most complicated queries run in seconds; intelligently learns which queries are run most often and optimizes them
  • Can have more fine-grained control over data (restrict access to student info: rows or columns)
  • Built on Microsoft SQL-Server; can be extended with standards such as SQL over ODBC