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Datatel Performance Analytics

powered by iStrategy

Increasingly, higher education leaders are challenged to manage with facts and demonstrate effective decision making supported by data. Government funding, accreditation, and budgeting demand a new level of evidence. Leaders are faced with the daunting challenge of creating actionable decision-making information from transactional data systems that are designed for data collection and process automation. That is now possible with Performance Analytics for Colleague Finance—powered by iStrategy, an integrated data mapping and load interface business intelligence solution By combining the extensive data collected in Colleague with the most in-depth data warehouse – designed specifically for higher education – this solution offers a unique analytical application that directly addresses this need.

Performance Analytics is a data warehouse and analytic reporting application incorporating best practices in higher education performance management and metrics from sources such as the National Center for Higher Education Management Systems (NCHEMS), the American Association of Community Colleges (AACC), and various leading higher education consulting firms.

Performance Analytics is the first and only packaged data warehouse and analytical reporting application for colleges and universities. By incorporating an interface to Colleague, iStrategy’s HigherEd Analytics data warehouse for the Colleague solution:

  • provides out-of-the-box integration with Datatel Colleague using the Datatel DataOrchestrator™ ODS (Operational Data Store) with the iStrategy Connector
  • provides a library of standardized metrics and descriptive attributes consistent with best practices in higher education management
  • provides pre-built queries and reports
  • provides key dimensions and measures, and 75 standard financial reports that can be accessed day-one
  • is installed in one to two days and loaded with Colleague data ready to review
  • can be implemented and deployed in a few months rather than years, as with some custom-built warehouse solutions
  • transforms data into information to support a broad spectrum of users spanning institutional research, management reporting, external reporting, and analytical information needs across the institution
  • provides secure self-service reporting and analysis capabilities

Spend Your Time Analyzing Financial Data – Not Building It

The Performance Analytics information model is based on best practices in data warehouse methodology and design using a dimensional modeling approach. One of the key factors in turning data into information is deriving important management information metrics and dimensions. With Performance Analytics you are able to apply data rules, aggregations, and algorithms for reporting off of the wealth of data captured in Colleague. Finance examples include budget, spending, encumbrances, requisitions, spending trends, and many more.

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