At this stage, all data is extracted manually from various systems. The majority of information is pulled manually, with reporting being built in Excel, Google Sheets, or the most basic BI tools.

A tremendous amount of effort goes into gathering, verifying, and consolidating data. Typically, the data collection process itself is time-consuming, and just as much time is spent ensuring data accuracy and consistency.

As stakeholders acquire their dashboards, they gain timely, informative insights, yet decision-making still requires additional data collection and analysis. The focus now turns to forecasting, aiming to manage not only current data but also future projections to strategize short-term and long-term objectives. This stage emphasizes a close integration of business and data models across all departments.

As stakeholders acquire their dashboards, they gain timely, informative insights, yet decision-making still requires additional data collection and analysis. The focus now turns to forecasting, aiming to manage not only current data but also future projections to strategize short-term and long-term objectives. This stage emphasizes a close integration of business and data models across all departments.