KPI Scorecards are a business planning tool that allow users to track performance, available in InetSoft's comprehensive real-time analytical reporting and dashboard software. View the example below to learn more about the Style Intelligence solution.
The Style Intelligence Scorecard is a collection of objects known as 'Targets'. Each target helps monitor the performance of a metric. It specifies the metric, how and when a metric's performance is evaluated, what the goal or target is, and what action to take if the goal is not met.
The scorecard provides an easy way to monitor multiple key performance indicators (KPIs), on a single page. In addition to checking status, you can drill down on a metric to see more detail, and set up alert notification for a failing metric.
![]() |
Read how InetSoft saves money and resources with deployment flexibility. |
![]() |
Read why choosing InetSoft's cloud-flexible BI provides advantages over other BI options. |
Laboratory research is a critical driver for advancements in science, medicine, and technology. With the increasing complexity of research projects, laboratories often struggle with balancing productivity, compliance, and quality control. In recent years, many research institutions have adopted Key Performance Indicator (KPI) scorecards to manage their operations effectively. This case study explores how one research laboratory implemented KPI scorecards to streamline its processes, improve resource allocation, and enhance research outcomes.
Organization: A mid-sized biotechnology laboratory Location: United States Specialization: Pharmaceutical drug discovery Challenges Faced:
To address these challenges, the laboratory's management team decided to implement a KPI scorecard system. This tool would track various metrics related to research operations and help identify areas for improvement.
The KPI scorecard was designed to track and measure key areas critical to the laboratory's operations. Each of these areas had specific, measurable KPIs:
Initial Setup: The management team held a series of workshops with department heads to determine the most relevant KPIs for their operations. Data collection systems were integrated into laboratory management software to ensure seamless data flow into the scorecard.
Data Collection: Over three months, the laboratory tracked historical data to establish benchmarks for each KPI. This step was crucial for setting realistic goals for future performance.
Training: All lab personnel received training on how to interpret the KPI scorecard and how their roles impacted specific metrics. A culture of accountability was fostered by tying staff performance reviews to KPI results.
Continuous Monitoring: The KPI scorecards were updated weekly and reviewed by the management team in bi-monthly meetings. This allowed the team to make real-time adjustments to staffing, equipment allocation, and project prioritization.
Improved Research Efficiency:
Optimized Resource Utilization:
Enhanced Compliance and Quality Control:
Financial Gains:
Innovation Boost:
Despite the overall success, some challenges emerged during the process:
Previous: Performance Scorecards |