Flexibility
Imagine having the freedom to create your own budget structure by adding exactly the information or data you deem essential to generate accurate reports or perform specific calculations. SCORB is a tool designed to offer this flexibility, allowing the data structure to be shaped according to the unique needs of your business.
In the context of people budgeting, for example, we know that basic data such as information about employees or positions is already present. But what truly makes a difference is the ability to include new columns or even create entirely new tables to complement the database.
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PRACTICAL EXAMPLE 1: Need to add a field such as “Date of Birth” that wasn’t originally included in your structure? With SCORB, you can do it simply and quickly, ensuring that data is efficiently updated for each existing record.
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PRACTICAL EXAMPLE 2: Noticed the need to create a new data table, such as “Board”, “Business Unit”, “Branch”, “Region”, “Country”, or even “Union”? SCORB allows you to do this easily. These tables can be linked to existing ones and updated through mass uploads, set up intuitively.
After creation or update, these new tables become automatically available for use in reports and serve as direct references for calculations.
With SCORB, you have full autonomy to make these changes, eliminating the need to pay for adjustments or wait long periods for the provider to implement changes. This independence puts control in your hands, speeding up processes and reducing costs.
Furthermore, data updates can be performed through integrations with other systems. But even in the absence of such integrations, <b>SCORB's</b> manual operation was carefully designed to be practical and accessible, allowing any user to perform updates quickly and effortlessly.
The use of support tables, also created autonomously, to assist in performing calculations creates a rich experience full of possibilities. Imagine calculating adjustments according to collective agreements, depending on hundreds of different unions with different periods and values? By using a table, one function can handle all the work dynamically and easily.
You have the freedom to define calculations and modify assumptions, supported by our operational team. In the end, all events are detailed in a report called “Calculation Record,” which serves as a dossier of the entire implementation.
Therefore, if we can create data structures according to the objective and apply the necessary parameters, assumptions, and calculations on top of them, then we can generate any type of scenario (Budget, Forecast, Baseline, Zero-Based, Actual, etc). This flexibility is what makes us more practical and fast to implement.
