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Case Study |
Massachusetts Eye and Ear Infirmary
Corporate Data Warehouse
Challenges
MEEI was looking for a way to avoid manually entering data from multiple financial applications into an obsolete DBase
reporting package in order to generate and distribute monthly research reports. DLA assisted in designing and implementing
a data warehouse and reporting suite which allows all members of the research community to produce on-demand reports as soon
as project and financial data are available. |
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Key Features
- The database and reports inegrate data from GL, AP, Payroll, Purchasing, and Project Budgeting applications.
The data warehouse combines Payroll, GL, and Project data to calculate a projected Salary commitment, and combines
AP and Purchasing data to calculate an Expense encumbrance.

- SQL Server Reporting Services allow web-based access to 33 financial reports. User-controlled report
parameters simplify data selection and sorting. Negative variances and project problems are highlighted. Users can
drill down into a series of more detailed reports to analyze issues. Reports can be exported in a wide variety of
formats.

- Ad-hoc reporting against the data mart is available.

Results for MEEI
- Administrators and Researchers have better control over expenses and revenues versus budget, because reports
are more timely and accurate, and because they include projected salary expenses.

- Grant Accountants spend less time entering data, generating reports, and reconciling reports. Operationally, the
application improves the process for calculating secondary costs, and improves cash flow by reducing the need to
estimate expenses when drawing on letters of credit.

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Our Solution
D. Lawton Associates implemented a SQL Server data warehouse which imports data using SQL Server Integration Services from applications with five different database
architectures (Sybase, Access, Btrieve, DBase, and a remote vendor-hosted database).
A nightly ETL process Extracts data into the warehouses raw data area, Transforms raw data into clean normalized tables in a data staging area, and Loads
transformed data into Data Mart tables and views which are optimized for reporting. See picture at left.
Data is made to look like it came from a single source. In particular, the data warehouse generates reconciling transactions where necessary to force source systems to match the General Ledger.
Security is administered using a web-based application build by DLA. Users can directly access data only through data mart views. All data mart views
incorporate security which limits users to only those specific cost centers and data types which they have a right to see. Therefore, the data can be securely accessed using any third party tool.
A suite of sophisticated financial research reports are implemented using SQL Server Reporting Services 2005. Reports were specifically designed to look good in IE, Safari and Mozilla browsers.
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