Data may be reported in quarterly time granularity and higher

Description

Time granularity in Corporate Performance Management (CPM) software refers to the level of detail or specificity of the data in terms of time. More specifically, quarterly time granularity indicates that data may be aggregated and analyzed on a quarterly basis, thereby offering a broad view of performance. Reporting at this level enables businesses to identify trends, make comparisons, and evaluate performance over a longer timeframe.

Example Use Case

Scenario: An international corporation uses CPM software to track and analyze its revenue performance across different regions. The corporation's high-level executives need to compare the company's performance on a quarterly basis over several years to make informed decisions about resource allocation and future strategies. They currently receive reports in monthly format which makes it difficult to understand the big picture.

Solution: With reporting features that offer quarterly views, the CPM software allows the company to generate reports showing revenues for each quarter over the specified years. This gives executives an overarching view of the company's performance trends, enabling them to make strategic decisions based on longer-term data.

Considerations

Most products will roll up monthly data to present quarterly reports, which is fine. The requirement here is specific to reporting views. In short, the user should only see a collection of summed up quarters as columns and rows with corresponding data, such as accounts. This type of reporting is best for executives who would like to view a large dataset without endless scrolling, and is looking for comparisons quarter over quarter without getting lost in minutia.

Questions to Ask a Vendor

• Selecting Time: Can we drag Quarter onto a report, or do we need to select individual months?
• Expand Time: Can the person viewing the report expand quarters to months if needed?
• Comparison Features: Does your system offer features that enable comparison of performance between different time periods?