Healthcare media & data
Project & program management Data analysis & visualization Business intelligence reporting

Agile adoption plus decision dashboards for operations leadership

Waterfall-to-Agile transition, Azure data pipelines, and Power BI dashboards for leadership visibility.

  • 50%Delivery predictability gain
  • 70%Process efficiency improvement

The challenge

Engineering delivery needed greater predictability while operations leadership lacked timely visibility into performance signals. Legacy waterfall habits and manual data aggregation slowed both delivery and decision-making.

Frame, ship, govern

  1. Frame

    Assessed existing processes and defined an Agile operating model with clear artifacts—user stories, product backlogs, and sprint cadences. Aligned engineering and operations on what would change and how success would be measured.

  2. Ship

    Created Agile artifacts and coached teams through adoption. Built Azure-based data aggregation and Power BI dashboards surfacing operational metrics for business operations teams.

  3. Govern

    Tracked delivery predictability and process efficiency improvements; established reporting cadence leaders could rely on for decisions.

Outcomes

  • Improved solution delivery predictability by approximately 50%
  • Drove approximately 70% efficiency improvement through process automation
  • Delivered operational dashboards improving leadership decision-making
  • Contributed to PMO process improvements focused on engineering delivery

Practice areas

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