Data Warehousing

For most companies, the heavy lifting of extracting, transforming, and loading (ETL) the data is the most challenging phase of any business intelligence/data warehousing project. Millbrook has the proven expertise and experience to manage the most complex insurance data challenges. We do it every day, and a significant portion of our ETL code is already pre-built, saving you valuable development time and minimizing any potential risks with new code development.

For insurance data to be analyzed and utilized to drive enhanced business performance, provide superior customer service and effectively enable everyone from finance to sales, underwriting to claims, insurance company data needs to be accessible and accurate. By storing the enterprise-wide data in data warehouses, businesses can be confident that the data is stored in repositories specifically designed and built for that purpose.

Before it can be stored, the data must first be extracted from the many systems used by an insurance company for such areas as policies, claims, reinsurance, accounting, and workflow. Quite often these systems use different codes to process transactions, have data elements that have changed their meaning over time, and struggle to manage data elements that were given different meanings by various line of business.

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