Market Leader in Contingent Workforce Solutions Reaps Benefits from Technology

With outdated systems, Beeline’s leadership couldn’t get the answers they needed from the data available. Before they could move forward with a data strategy that would bring insight, they needed to fully understand where they stood. Our team helped Beeline tie their objectives to what was working and what needed attention.

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Setting the Stage

Beeline is the market leader in contingent workforce solutions whose services include vendor management systems, services procurement, and analytics.

Specializing in solutions that optimize the non-employee workforce, everything they do for their global clients is designed to save money, reduce organizational risks, and add value through effective management of the non-employee workforce.

The Problem

Beeline had an aging data warehouse and business intelligence (BI) solution that had been in place for many years. Leadership wanted more sophisticated answers to questions than the current system could provide. Performance issues and technology barriers prevented them from getting everything they could from that system and a newer financial data warehouse used for invoicing. They called upon Resultant to assess their current technology state.

Our Approach

Two keys to successful technology implementations in every organization are clarifying objectives and proactive change management. By taking the time to ask the right questions—and listen to the answers—we were able to identify what was working, what wasn’t, and where Beeline wanted to go with the technology change.

It’s important to really connect with end users about their day-to-day operations before making changes that will significantly impact their workflow. At the end of the project, thorough training, mentoring, and leading by example characterize strong change management practices.

About the Client

With outdated systems, Beeline’s leadership couldn’t get the answers they needed from the data available. Before they could move forward with a data strategy that would bring insight, they needed to fully understand where they stood.

Outcomes

  • Identified and implemented a future state roadmap
  • Built architectural foundation
  • Implemented new data warehouse
  • Established best practices
  • Trained and mentored internal teams to be self-sufficient

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