Data Warehouse Strategy and Roadmap Exercise Showed the Way to Resolve Issues with Existing Data Warehouse

 

The client is a government agency that promotes and protects the well-being of its workers, employers and citizens and upholds their rights and responsibilities. It provides oversight and regulation of the state’s workers’ compensation system, enforces state and federal labor standards, enforces state and federal safety and occupational health laws, provides adjudicative services in labor-management disputes, establishes and enforces building industry codes, licenses and regulates professions and occupations, regulates all weighing or measuring devices used in commercial transactions, conducts research, and collects employment statistics that enable strategic planning. 

Background

The client’s existing on-premise data warehouse did not fit the needs of its various supporting departments. It was in a weak-performing state with several issues such as data layers not being universal, user access not configured or monitored correctly, poor auditing capabilities, limited data inputs, poor reporting, scalability limitations, and sub-optimal performance. 

 

Due to the inadequacies of the existing data warehouse, the client was unable to take advantage of market trends and had to put multiple projects on hold or in TBD status. Further, the shaky state of the data warehouse meant that data requirements of State and Federal businesses were also at risk.   

 

The client wanted to address the issues with its data warehouse urgently but was facing challenges due to the limited availability of internal resources capable of assessing and remediating those issues. Therefore, the client decided to seek external expertise to resolve the issues in an expedited manner. 

Solution

To assess the issues in their entirety and provide actionable and pertinent recommendations, DiLytics carried out a ‘Data Warehouse Strategy and Roadmap’ exercise. The exercise entailed: 

  • Conducting meetings and interviews with Business & IT stakeholders from across various divisions.
  • Reviewing and analyzing existing IT architecture, processes, data flow and technical designs.
  • Evaluating current platform – data warehouse, data integration, analytical reporting.
  • Identifying issues, gaps, unrealized opportunities, and technology deficiencies.
  • Listing division-wise business and technical findings.
  • Providing recommendations w.r.t. functional features, technical architecture, training, hardware, and deployment (cloud or on-premise) aspects.
  • Determining the best course of action and providing a corresponding schedule, budget and team for implementation.

 

DiLytics completed the exercise in a quick time span of thirty (30) days.

Business Benefits

  • Availability of best-practice aligned next steps, to resolve the issues with its existing data warehouse.
  • Optimal utilization of sunk investments in the data warehouse.

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