01 Raw Data

In its raw format, data can be confusing, and difficult to understand. Finding patterns or removing outliers is also challenging. This is why filtering, sorting, and arranging the data is needed.

02 Sorted Data

Can start to inform the business. Anomalies can be found and patterns begin to emerge.
However, reporting on this type of data still has its difficulties.

03 Arranged Data

As a business, this type of sorting and arranging can assist each department in understanding its role in the business as a whole. You can begin to identify shortcomings and strengths in how you produce goods and services.

04 Presented Data

When you present your business’s data visually (charts, graphs, etc.), it improves comprehension and you can easily recognize patterns. This helps to highlight and focus on the key metrics that matter most.

05 Storytelling

If you want action in your business, build data into compelling narratives. The goal is not to simply inform, but rather to persuade and motivate movement. When you tell stories it improves engagement and memory retention.