Case Study: Enterprise Data Analytics Platform For A Major Transit Authority

Client Overview:

Our client is a public authority entity responsible for providing mass transit service offering bus, rideshare programs, special event services, commuter rail and demand response and innovative mobility options. The organization provides over 20M rides per year therefore they wanted to develop an enterprise data analytics platform (EDAP) that provides a single source of truth and had the capability to evolve. To stay abreast of their users’ growing needs and operate effectively, they realized pulling data from multiple systems and merging the information on their own was time consuming, inefficient and error prone. We were happy to present them with a cost-effective solution that met all their needs and positioned them for future growth.

The Challenge:

Our client’s goal was to have a single comprehensive enterprise data analytics platform that provides the organization a centralized source of truth on its most important data assets and makes data accessible and available in a secure, governed environment. They needed help creating an agile data system that supported their vision of a comprehensive enterprise-wide data analytics platform and delivered robust business intelligence (BI) reporting capabilities. The system needed to aggregate internally and externally sourced data and deliver results in an easily digestible form.

Our Solution Needed To Provide The Benefits Below:

• Enable Business Insights: Enable the business to unlock insights to drive strategic priorities, improve
  operational efficiency, control, and monitoring.
• Centralized Source Of Truth: Harmonize and connect the disparate data assets. Break down data silos
  and enhance accessibility and availability of data.
• Enhanced Analytics Capabilities: Leverage state-of-the-art technology to equip the organization with
  the tools to extract insights.
• Cost Reduction And Decreased Time To Insight: through automation of data extraction and
  transformation, improve bottom-line impacts and provide more timely access to data. Minimize time, and
  effort required to maintain the enterprise data analytics platform solution.
• Scalability And Flexibility: Move to a robust and modern cloud-based infrastructure enabling our client to
  handle new data volumes and requirements as they grow and expand their services.
• Manage And Govern Data: Correctly manage and govern all the organization’s data assets and apply the
  organization’s data security and retention policies.