The first step is to gather your data in a structured way, so you can measure it quickly and at scale. Do you already have data stored in a database, or do we need to create one?

Next, we combine data from different sources to create a complete picture. By connecting this data to analytic tools automatically, you can make faster decisions and reduce manual work for your staff.

Once your data is centralized and automated, this step ensures it’s set up correctly according to your business processes.

A COP is a dashboard that shows you a clear view of your data. It’s important to avoid manual updates and understand the pros and cons of different options for creating dashboards.

At the top of the hierarchy, we use the term “Commanding Data.” Organizational leaders often have a vision to enhance decision-making or increase efficiency using data. This could involve using AI to offer decision options or create comprehensive solutions faster. It could also mean leveraging algorithms to optimize or model your business processes for the best outcomes. We can get there together, and it’s crucial to first get the collect, connect, and count stages right.