Dana-Farber Cancer Institute

The Boston-based Dana-Farber provides expert, compassionate care to children and adults with cancer nationwide, while it advances the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases.

“Managing the integration of multiple source systems required a sophisticated and flexible data integration platform. The Informatica Platform provides this, and it can be expanded to address our future integration challenges.”

Rob Sutfin

Data Warehouse Program Manager, Dana-Farber Cancer Institute
Business Need
  • Enable managers to track their actual operating expenses against their budgets.
  • Understand whether funding was being spent in the most effective way.
  • Integrate operational data—both financial and clinical—and deliver it on a common platform for reporting and analytic purposes.
  • Replace system providing piecemeal ‘budget versus expense’ data on a monthly aggregate basis.
  • Manage a diverse set of data sources and cope with a high volume of sources—particularly clinical systems.
Solutions & Results
  • Provided managers with access to daily operating expense reports in support of their day-to-day financial decision making.
  • Will improve the Institute’s budget management process.
  • Reduced the time required to prepare research funding reports from six days to one and a half days.
  • Will eventually help clinical teams quickly identify trends in patient care.
  • Will reduce the volume of support calls for finance.
  • Introduced one common platform for enterprise reporting and analytic purposes.
  • Will ultimately transform clinical operations and patient management.

Products & Services

Informatica PowerCenter

Accesses, integrates, and delivers any and all data quickly and cost-effectively, without hand coding.

Informatica PowerExchange for PeopleSoft

Accesses mission-critical PeopleSoft data and delivers it throughout the enterprise wherever it’s needed, on any schedule.

Informatica Data Explorer

Finds hidden risks, pinpoints structural issues, and stops quality problems from spreading in data.

Success Stories

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