Appropriately tracking and utilizing operational analytics can help your research organization manage the new challenges of today’s trial landscape and maintain more effective and successful clinical trial processes. However, building an analytics strategy requires considerable planning upfront to ensure you’re measuring the right operational performance for your organizational goals.
The first step to determining which metrics your organization should track is to know the questions you’re trying to answer. This means taking a close look at your research practices and determining what answers could be most helpful to you. With a solid understanding of your fundamental metrics, you can dig deeper into individual processes and measure performance metrics that help you address areas in need of improvement. In this infographic we explore how the right metrics can help you answer five critical operational questions.
For a deeper dive into how you can get the most out of your analytics strategy, download our free analytics eBook.
Building an effective analytics strategy at your research organization can lead to strong impacts in your research operations and improve overall trial performance. However, it’s critical to take the necessary steps to set up your strategy for success and avoid common hurdles. Download your copy of our free eBook, Analytics in Clinical Research: Using Data to Inform Your Research Operations to learn best practices for building, maintaining and getting the most benefit from an analytics strategy at your research organization.