Category: Business Intelligence


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Client Overview: Senior Business Analyst

The Illinois Department on Aging helps the elderly live independently in their own homes and communities. As the population ages, services and programs for older people must evolve as well because longevity means more when quality of life is enhanced. Working with Area Agencies on Aging, community-based service providers and older people themselves, the Illinois Department on Aging strives to improve quality of life for current and future generations of older Illinoisans.

Technology Assessment Project!

The primary objective of the Technology Assessment was to review the Aging Network’s existing Information, Application, and Technical infrastructures, versus its processes and organizations, to determine and how IDOA’s shared business needs may impact technology in the future.

Consequently, the Illinois Department on Aging engaged Deloitte Consulting to perform an analysis of the Aging Network’s current systems, data sharing and reporting tools, their impact on clients and agencies, and to assist in the creation of a multi-year technology road-map aligned with the Aging Network’s strategic vision.

  • This involved site visits by the project team business analysts, project manager and program manager to 13 Area Agencies on Aging, 3 Care Coordination Units and I.D.O.A. administrative head offices; including identification of current systems in-use, data sharing and reporting tools and high-level analysis of the current state (As-Is) business processes.

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Client Overview: Business Systems Analyst

The Insurance Corporation of British Columbia is a provincial Crown corporation established in 1973 to provide universal auto insurance to B.C. motorists. They are also responsible for driver licensing, and vehicle licensing and registration.

Source Data Quality Project!

The Source Data Quality Project was a sub-project of the Crime, Crash, Contravention and Corporate Data Warehouse projects.

  • The primary objective was to investigate issues and analyze data to identify the root cause of data quality issues and drive practical solutions to root causes to address problems.

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