Turn your financial data into clear, useful insights by adding analytical dimensions and using smart reporting tools.
Written by Ian Kimpe & Siebe Vandenbussche – Reading time: 4 min.
In today’s business world, companies handle large amounts of financial data. To make smart decisions, it’s important to analyse this data effectively. Analytical dimensions help by adding context to your financial reports. They allow you to break down data into categories, making it easier to understand. BrightAnalytics integrates analytical dimensions smoothly into its reporting tools, eliminating the need for manual data handling.
Analytical dimensions are labels that give more detail to financial data. For example, when recording an expense, you can tag it with the department responsible.
Common dimensions include:
Cost center
Department
Location
Business unit
Project
Using multiple dimensions together allows for multidimensional accounting. This means you can analyze financial performance from different angles, like by region and project.
Organising data into categories helps you see detailed financial performance. For instance, you can assess the profitability of a specific project or allocate insurance costs across offices to understand each office’s profitability.
With detailed insights, financial leaders can make decisions based on accurate data rather than guesses. This reduces risks and improves outcomes.
Combining dimensions like region and business unit can reveal trends that might be missed in overall numbers. BrightAnalytics allows users to explore these combinations easily, helping to uncover important patterns.
Using dimensions such as cost center and department enhances budgeting and forecasting. Historical data segmented by dimensions can highlight patterns, aiding in predicting demand and planning expenditures more accurately.
Analytical dimensions reduce the need for an overly detailed chart of accounts. By combining dimensions with account codes, organisations achieve flexible reporting without expanding the chart of accounts, resulting in fewer inconsistencies and more streamlined accounting.
While analytical dimensions offer many benefits, they also bring challenges. Consistency in data entry is crucial. This means standardising how data is recorded across departments.
To manage this:
Establish clear data entry protocols.
Use automation to reduce manual errors.
Invest in tools like BrightAnalytics that support multidimensional analysis.
Train staff on the correct use of analytical dimensions.
Regularly audit data to maintain accuracy.
BrightAnalytics simplifies the use of analytical dimensions. It integrates with accounting and ERP systems, allowing users to:
Combine filters to create precise reports.
View data over time.
Compare dimensions using pivot views.
Include non-financial data, like the number of employees per dimension.
Additionally, BrightAnalytics offers workflows to allocate unassigned transactions to appropriate dimensions. Its “Controlling – Dimensions” application provides flexibility, enabling users to generate various reports effortlessly.
Analytical dimensions are essential for effective financial reporting. They provide context, helping companies identify trends and make informed decisions. BrightAnalytics makes it easy to implement and benefit from analytical dimensions, turning complex data into valuable insights