Power BI: user guide for CFOs

Power BI is one of the most powerful and versatile business intelligence tools available on the market, used to transform business data into easily interpretable information useful for decision-making. For Chief Financial Officers (CFOs), Power BI represents a fundamental ally, allowing them to view and analyze financial data in real time, identify trends and areas for improvement and make decisions based on in-depth analysis. In this article, we will explore how to use Power BI to optimize financial performance management, automate reports, and obtain a clear and detailed view of the company's economic situation.

What you'll find in this article

  • Power BI for CFOs: a brief introduction
  • 9 reasons why a CFO should use Power BI
  • Power BI: practical use cases for CFOs
Power BI: user guide for CFOs

Power BI for CFOs: a brief introduction

The role of a Chief Financial Officer (CFO) has always been of paramount importance for small and large companies. CFOs have always relied on consolidated data and analysis to make the best possible financial decisions, and after the pandemic, as companies have implemented more robust digital processes, the need for real-time data has increased exponentially.

CFOs therefore need tools that allow them to centralize the processes through which they outline their strategies and that improve overall efficiency and effectiveness. And Microsoft Power BI could be the answer they were looking for to those needs.

Power BI significantly improves financial analysis thanks to its advanced data modeling, dynamic visualization and automation capabilities. Designing interactive dashboards in Power BI allows users to explore financial data dynamically, providing insights and facilitating informed decision-making.

The automation in the extraction, transformation and loading (ETL) of financial data in Power BI guarantees the accuracy and timeliness of the data, with scheduled updates that keep the reports always updated and eliminate manual entry errors.

And that's just the beginning: let's see what it can do in the next sections.

Example of a financial dashboard that CFOs can create in Power BI

The role of the CFO today

CFOs not only act as the backbone of an organization's financial health and strategy, but they are also responsible for managing financial risks, monitoring the accuracy of financial reports, and ensuring compliance with regulatory requirements. However, in the current dynamic business environment, the role has evolved significantly, becoming more complex and strategic and involving:

  • Strategic planning: Collaborating with other executives to develop long-term business strategies that are aligned with financial objectives.
  • Resource allocation: Ensuring that resources are allocated efficiently to maximize return on investment and support strategic initiatives.
  • Performance measurement: Using key performance indicators (KPIs) and financial metrics to evaluate and guide organizational performance.
  • Financial reporting: Ensuring that all financial statements are accurate, transparent and comply with regulatory standards, building trust with investors, stakeholders and regulators.
  • Risk Management: Identifying and mitigate financial risks through sound risk management practices, including market, credit, and operational risks.
  • Compliance: Staying updated on changes in financial regulations and ensure that business practices comply with these regulations to avoid legal sanctions and maintain a good business reputation.

In addition to these responsibilities, the expanded skills of a modern CFO include predicting future trends, leading growth efforts, and offering crucial insights that influence the company's strategic initiatives.

To meet these needs, CFOs must embrace technology and innovation, which are now indispensable in today's business landscape. Leveraging technology is essential for optimizing financial processes and decision-making.

Power BI: What it is and what are its main features?

And Microsoft responded to this call decades ago with... Microsoft Excel.

Financial departments are used to using Excel to generate their reports, in addition to the information systems already in use. Excel's modeling capabilities allow financial departments to present in-depth analyses.

However, Excel's limitations are well known:

  • Limitations in data size management: Excel has a limited capacity to handle large amounts of data, with a maximum of about one million rows per sheet. This can become a significant obstacle for analyses that require the processing of complex or very large datasets, making the work less efficient and more susceptible to system slowdowns or crashes.
  • Underdeveloped collaborative capabilities: Although Excel has introduced some collaboration features in recent years, such as co-editing in real time on cloud platforms, these still remain rudimentary compared to more advanced tools. Simultaneous management by multiple users can be problematic, with the risk of conflicts or data overwriting.
  • Limited interactions with business information systems: Excel is not designed to integrate natively and fluidly with many business information systems, such as ERP or CRM. This makes the automatic import of data more complex and often requires manual steps or intermediate tools to synchronize information, increasing the risk of errors and reducing efficiency.

In response to these limitations, Microsoft has launched Power BI, a powerful data analysis and visualization software. Initially, this tool quickly aroused enthusiasm in the United States. Subsequently, the phenomenon spread rapidly to companies around the world.

The benefits of this software are numerous and we can find among the main ones:

  • Connect to multiple data sources: Power BI allows you to connect to a wide range of data sources, including CSV files, SQL databases, web scraping APIs, and many others. This flexibility makes it possible to easily integrate data from different platforms, making possible a centralized and complete analysis.
  • The logic of not altering the source data: One of the fundamental characteristics of Power BI is the principle of preserving original data. This approach guarantees greater reliability, since the data presented and analyzed do not undergo changes that could compromise their integrity.
  • Advanced tools for data manipulation (data wrangling): Power BI offers advanced functionality to handle format issues, missing data, and other complexities. This makes it possible to prepare data for analysis efficiently, reducing errors and improving the quality of processing.
  • Wide variety and customization of graphic representations: With Power BI, you can create different types of visualizations, such as bar charts, scatter charts, interactive maps and customized scripts in R language. This allows you to adapt the presentation of the data to the specific needs of the analysis.
  • Dynamic reports updated in real time: Power BI supports the continuous updating of reports, allowing you to always work with up-to-date information. This is especially useful for real-time monitoring of KPIs and other business metrics.
  • Dashboards optimized for every type of device: Power BI dashboards are designed to be fully responsive, ensuring a smooth user experience on computers, tablets and smartphones. This ensures access to data anywhere and at any time.

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9 Reasons Why a CFO Should Use Power BI

Power BI It is one of the most popular business intelligence platforms, as it is easy to use and has a low technological threshold. It offers integration with the Microsoft ecosystem, including applications that every financial department already uses, such as the above-mentioned Excel.

Incorporating Power BI into their company's workflow will allow CFOs to develop a suite of analytical tools to share insights, get immediate answers, monitor business success, and analyze data in real time.

There are nine reasons why CFOs, in any company, choose to use Power BI. Let's take a better look at them below.

1. Artificial intelligence and connectors for integration

Power BI is one of the easiest platforms for CFOs to use with artificial intelligence. The platform has evolved considerably since its creation, with the addition of artificial intelligence in the form of Microsoft Copilot that allows it to stay up to date with technological innovations. Users can create machine learning models and integrate them with other software that uses machine learning, such as Azure. Power BI also makes it easy to recognize images and analyze text. In addition, Power BI supports hybrid deployment with built-in connectors that allow it to integrate with other popular software, including Salesforce.

Integrating Microsoft Copilot into Power BI

2. Fast analysis and data model support

The platform allows CFOs to use common data models to create standardized data schemes that can be developed and extended. CFOs can quickly gain insights by creating subsets of data with the ability to automatically apply analysis to these insights.

3. personalisation

Power BI is easy to customize with features that allow CFOs to change their appearance, import new tools, and select reporting tools that meet their specific needs.

4. Self-service data preparation

CFOs can use the power query function to integrate and transform large volumes of data into the Power BI platform. Once this data is integrated into the system, it can be shared and viewed on various dashboards, models, and reports in Power BI. The platform is completely self-service, meaning that CFOs and financial professionals can operate the software with little or no training. Less technologically savvy people can quickly familiarize themselves with the software thanks to online tutorials and guides.

Power BI in self-service mode

5. Dashboard

Power BI is easy to use for CFOs of all skill levels. One of the platform's most popular features is its dashboard, which provides an immediate overview of the company's most relevant data. It offers a complete view without the user having to scroll endlessly between applications and windows. The cohesive vision presents the data and information that speed up the decision-making process.

6. Modeling view

CFOs can use the modeling view within Power BI to divide complex data models into subject areas by setting common properties, separating diagrams, and modifying properties. This modeling view allows CFOs to create visualization folders to make it easier to transform complex data models into data sets.

7. Immersive product visualizations

One of the main responsibilities of a CFO is to translate financial forecasts, data, and strategies so that investors, board members, and other stakeholders can understand. Power BI produces engaging visualizations that elevate presentations and help bring data to life.

Types of data visualizations in Microsoft Power BI

8. 24/7 access

Microsoft applications, including Power BI, can be securely accessed 24/7 from anywhere in the world. The increase in remote and flexible working means that CFOs must consider the possibility for themselves and their colleagues to access information in real time from various devices, even from external offices.

9. Holistic data analysis

CFOs don't have to give up Excel functionality. Power BI can work together with Excel to create a holistic data analysis that is more flexible and accurate, providing access to almost any data source. CFOs can transfer their Excel documents to Power BI using the design tools they're already familiar with.

Power BI: practical use cases for CFOs

Now that we know what it is Power BI and what are the advantages it can bring to the operations of CFOs, someone might want something more practical such as some examples of use to see what the real potential of the software is.

Income statement

An income statement shows a company's revenues, expenses, and profits over a given period.

To create an income statement in Power BI, let's make sure that the financial data is structured with the following columns:

  • Date: the date of each transaction.
  • Account Type: classification as Revenue, Expenses or Profit.
  • Account Name: the name of each account.
  • Amount: the monetary value of each transaction.

After importing and transforming the data, the next step is to create relationships if the data is distributed across multiple tables. We use model options to establish relationships by dragging and dropping fields between tables.

The next step involves creating the necessary measures, including:

  • Total revenues
  • Total Cost of Sales (COGS)
  • Total Gross Profit
  • % of Gross Profit
  • Other Total Expenses
  • Total Net Profit
  • % of Net Profit

Power BI also allows comparisons between different periods, such as between the current year and the previous year, or between Q2 and Q1.

To create a representative view of the income statement, go to the Report screen and:

  • We use a Matrix view to show details about revenues and expenses.
  • We use cards to display Total Revenues, Total COGS and Net Profit.
  • We use a line chart to graphically represent trends in revenues, expenses, and profits over time.

We format visualizations to improve clarity and visual appeal. We adjust colors, fonts, and data labels using the Views panel.

Budget sheet

A balance sheet is a document that shows a company's assets, liabilities, and net worth at a given time.

Before importing data into Power BI, let's always make sure it's properly structured. A typical balance sheet requires the following columns:

  • Account Type: classification of each account as Assets, Liabilities, or Equity.
  • Account Name: indicates the name of each account.
  • Amount: the monetary value associated with each account.
  • Date: allows to track changes in the balance sheet over time (optional, but recommended for dynamic analysis).

Once the data has been imported and transformed, the next step is to create relationships if the data is distributed across multiple tables. We use model options to establish relationships by dragging and dropping fields between tables.

After modeling, create measures in Power BI to calculate key financial metrics using Data Analysis Expressions (DAX), such as:

  • Total Current Assets
  • Total Fixed Assets
  • Total Other Activities
  • Total Activity
  • Total Current Liabilities
  • Total Long-Term Liabilities
  • Total Net Assets

Let's create a balance check measure to make sure the balance sheet is in order.

For visualization purposes, let's go to the Report screen:

  • We use a Matrix view to show a detailed breakdown of the accounts under Assets, Liabilities, and Equity.
  • We use the tabs to display Total Assets, Total Liabilities and Total Equity.

Then we format the visualizations as desired to improve their clarity and visual appeal using the options in the Views panel as before.

Financial statement

A financial statement tracks the cash flows in and out of a company, divided into operating, investing and financing activities.

To create one, you must ensure that your financial data is well structured with the following columns:

  • Transaction Date: the date of each cash flow.
  • Type of Transaction: classification as operating, investment or financing activities.
  • Description: a brief description of the transaction.
  • Amount: the value of cash flow for each transaction.

Here again, once the data has been imported and transformed, the next step is to create relationships if the data is distributed over several tables and to do this we will still use the options for the models to establish relationships by dragging and dropping the fields between the tables.

The next step is to create measures to calculate:

  • Cash income from operations
  • Cash income from investments
  • Cash income from financing
  • Cash outflows for operations
  • Cash outflows for investments
  • Cash outflows for financing
  • Total Operating Cash Flows
  • Total Cash Flows from Investments
  • Total Cash Flows from Financing
  • Net Cash Flow

To create a financial statement using the measures created, let's go back to the Report screen and:

  • We use a Matrix view to show the details of the cash flows divided into Operations, Investments and Financing.
  • We use the cards to view the Totals of Operating Cash Flows, Investments, Financing and Net Cash Flow.
  • We use a line chart to visualize cash flows over time.

To further improve the interactivity of the reports, we can also follow these additional steps:

  • Use filters (Slicers): We can incorporate slicers to allow users to filter the financial statement by date or type of transaction. This allows for a targeted analysis and exploration of specific financial periods or categories.
  • Implement bookmarks and buttons: We can create bookmarks and buttons within the Power BI report for a more interactive user experience. These elements can be used to navigate between different views or scenarios of the financial statement, providing flexibility and control.
  • Ensure data is up to date: We can regularly update the data to ensure that the reports reflect the latest transactions and financial information.

Analysis of financial reports

Financial report analysis is a quantitative method for analyzing financial statements in order to assess a company's performance and financial health. It consists of calculating and interpreting various financial reports using income statement, balance sheet and cash flow statement data. These reports provide information on various aspects of business operations, such as profitability, liquidity, efficiency, and solvency.

By reviewing reports over multiple periods, it is possible to identify trends and potential problems, make informed decisions about operations, investments and financing, and evaluate the viability and profitability of investments.

Some types of financial reports include:

  • Liquidity Ratios
  • Profitability Ratios
  • Solvency Ratios

Creating measures in Power BI allows you to calculate these financial ratios.

Liquidity reports

  • Current Liquidity Index (Current Ratio): assesses a company's ability to meet short-term obligations with its current assets.
    • Formula: (Current Assets/Current Liabilities)
    • A good ratio is generally between 1.5 and 3.0
  • Immediate liquidity ratio (Quick Ratio): measures the ability to meet short-term liabilities without relying on the sale of inventories.
    • Formula: ((Current Assets — Inventory)/Current Liabilities)

Solvency reports

  • Debt to Equity Ratio: compares the total liabilities of a company with the shareholders' net worth.
    • Formula: (Total liabilities/Equity)

Profitability reports

  • Return on Assets (ROA): indicates how efficiently a company uses its activities to generate profit.
    • Formula: (Net profit/Total assets)
  • Return on Equity (ROE): reflects the return generated on shareholders' equity.
    • Formula: (Net Profit/Equity)
  • Gross Profit Margin: shows the percentage of revenues that remains after subtracting the cost of sales (COGS). It indicates the company's efficiency in the production and sale of its products.
    • Formula: (Revenues — Cost of sales)/Revenues)

After creating the measures, let's go to the Reports screen and add the visualizations using the tabs to show the following reports:

  • Current liquidity index
  • Immediate liquidity index
  • Debt to Equity Ratio
  • Return on assets
  • Return on equity
  • Gross profit margin

Financial forecasts

Power BI's advanced capabilities, including machine learning and predictive modeling, allow organizations to predict future financial performance. By exploiting historical data and identifying the main factors that influence financial performance, Power BI can generate predictive analysis useful for anticipating future trends, evaluating risks and identifying opportunities.

Power BI's DAX (Data Analysis Expressions) language allows you to create customized calculations and measures, adapting them to specific forecasting needs. Whether it's calculating growth rates, profit margins, or cash flow projections, DAX enables precise and flexible financial modeling.

Power BI supports dynamic forecasting, scenario analysis, and “what-if” models, allowing organizations to assess the potential impact of different strategic decisions. By adjusting assumptions and variables, users can simulate various financial scenarios and assess their implications.

Automation in Power BI simplifies the process of updating and maintaining forecasts, and automatically updating data ensures that forecasts are based on the most recent data, reducing the risk of outdated or inaccurate information.

Budget analysis and comparisons

Power BI allows you to create dynamic reports that significantly simplify the budgeting process, reduce cycle times, and compare actual financial performance with those expected by the budget. These reports highlight differences in revenues, expenses, and other key financial metrics, helping organizations understand how well they are meeting their financial plans.

Thanks to the DAX language, it is possible to create customized measures and calculations to analyze variations and performance in different scenarios:

  • Actual vs Budget: We can calculate differences between actual and budget data to evaluate performance.
  • Actual vs Forecasts: We can compare actual results with forecasts to assess the accuracy of the estimates.
  • Budget vs Forecasts: We can analyze the differences between budget values and updated forecasts to identify possible adjustments.

Power BI also allows you to compare financial performance across departments by:

  • Comparative analysis: compares financial data from different departments, allowing you to drill down on revenues, expenses, and other key metrics.
  • Interdepartmental insights: Power BI supports the creation of reports and dashboards that provide clear, side-by-side comparisons of financial performance across departments. This functionality helps identify trends, anomalies, and areas for improvement, encouraging informed decisions and effective strategic planning.

Conclusions

Although valid for any area of business work, it is particularly important for financial professionals to have reliable and intuitive tools available to support them and with which to carry out their daily operations in a simple, fast and precise way. And, even then, Microsoft may have the right answer.

Excel has always been a valid ally of all CFOs, but its limitations can be significantly felt when situations start to become extremely complex and it is therefore necessary to rely on dedicated solutions to deal with them in the best way. Solutions like Power BI.

Its capabilities that allow the perfect synthesis of financial data and that significantly simplify its analysis and interpretation (also thanks to interactive reports and practical customizable dashboards) are all that a financial department is looking for in a business intelligence platform.

FAQs on using Power BI for CFOs

What is Power BI and why is it useful for a CFO?

Power BI is a business intelligence platform that allows you to view, analyze and share financial data in real time. For a CFO, it represents an essential tool for making decisions based on updated data, optimizing business performance management and improving financial reporting.

How does Power BI improve financial management?

Power BI automates financial reports, eliminating the risk of manual entry errors. It allows you to monitor financial KPIs in real time through interactive dashboards. It facilitates the identification of trends and anomalies in business data and allows predictive analysis to predict future performance.

What are the main features of Power BI for finance?

Power BI integrates with Excel and other Microsoft 365 tools, allowing you to connect to different data sources such as ERP, CRM, SQL databases and APIs. Automate data flows, eliminating the need for manual intervention. It offers advanced financial analysis and reporting tools, updated in real time. It includes predictive models to support strategic planning and improve decision accuracy.

What financial reports can a CFO create with Power BI?

Power BI allows you to generate detailed reports on the income statement, balance sheet and cash flow statement. It helps to monitor financial KPIs and to compare business performance with set objectives. It allows you to analyze the variations between budget and real data, improving financial planning and resource management.

Can Power BI replace Excel in financial management?

Power BI doesn't replace Excel, but it does empower it. Excel remains useful for operational data management, while Power BI allows you to automate analysis, update data in real time and create more advanced interactive dashboards. The two tools can be used together for more effective financial management.

Is Power BI difficult for a CFO without technical expertise to use?

Power BI is designed to be intuitive and accessible even to those without advanced technical skills. The interface is user-friendly and includes drag-and-drop tools for creating reports and dashboards. Microsoft provides guides and tutorials to facilitate learning, making it a tool suitable even for CFOs with less technological experience.

Is Power BI secure for managing financial data?

Power BI offers advanced security systems such as data encryption, access control, and multi-factor authentication. It complies with international regulatory standards and guarantees the protection of sensitive information. Companies can define access policies to ensure that only authorized users can view and modify financial data.

Does Power BI support artificial intelligence for financial analysis?

Power BI integrates artificial intelligence and machine learning capabilities to help CFOs identify trends, anomalies, and correlations in financial data. With Microsoft Copilot, you can gain insights through natural language. The platform supports pattern recognition and the development of predictive models to improve financial strategies.

How much does Power BI cost for a business?

Power BI is available in different versions. The free version offers basic functionality, while Power BI Pro costs around 9.40 euros per month per user and includes advanced sharing options. Power BI Premium starts at 4,675 euros per month and offers dedicated capacities, suitable for large companies. Some Microsoft 365 licenses include Power BI at no additional cost.

Does Power BI integrate with other financial software?

Power BI is compatible with major financial software such as SAP, Oracle, Salesforce, and Dynamics 365. It can connect to ERP and CRM systems, allowing CFOs to consolidate data from different sources into a single platform. This integration facilitates centralized analysis and improves the management of financial information.

Get in touch with the team

Modern Apps

The Modern Apps team specializes in development and integration across the entire Microsoft 365 ecosystem. We design native applications for Microsoft and Azure platforms, and implement business processes that integrate with and maximize the investment in Microsoft 365.