
PrestaShop with Power BI in practice – how to report sales data
Do sales reports from PrestaShop really support business decision-making, or do they mainly present historical data that quickly becomes outdated?

Do sales reports from PrestaShop really support business decision-making, or do they mainly present historical data that quickly becomes outdated?
Companies running many projects simultaneously often face a common challenge: data on tasks, deadlines, and responsibilities is scattered across various tools. Trello is excellent for daily workflow organization, but it does not offer advanced analytics on its own. Power BI, on the other hand, allows you to transform data into clear reports and dashboards that genuinely support decision-making.

Companies increasingly face the challenge of choosing the tool that will best support their analytics processes. In environments where data comes from multiple systems – from ERP and CRM to marketing platforms – it is crucial to create a consistent, flexible, and scalable reporting ecosystem. This is why the comparison between Power BI and SAP Business Objects is one of the most frequently discussed topics among organizations planning to develop their Business Intelligence capabilities.
Integrating OneDrive with Power BI is currently one of the most effective approaches for managing data in companies operating within the Microsoft 365 environment. Thanks to Power BI’s ability to automatically detect changes in files stored on OneDrive for Business and SharePoint Online, reports refresh without the need to manually upload data.
Data has become one of the most valuable assets for any organization. However, simply having data is not enough — the key lies in the effective integration of information from multiple sources, such as ERP systems, Excel spreadsheets, and CRM tools. This is where Power BI plays a crucial role, enabling companies to transform raw data into coherent reports and clear visualizations.
Many organizations still rely on traditional reports generated within their ERP systems. While functional, this approach is often insufficient when quick responses and real-time trend analysis are required. Integrating ERP with Power BI addresses this challenge by creating a single source of truth for all departments — from finance to sales.
As a result, managers gain a complete view of business performance, can analyze data in the context of processes, and make decisions based on factual insights rather than intuition.
In the era of digital transformation, data has become one of the most valuable assets of an organization. As its value grows, so does the risk associated with unauthorized access, loss, or mishandling of information. According to IBM’s Cost of a Data Breach 2024 report, the average cost of a single data breach incident is already over $4.45 million, with the professional services, financial, and technology sectors being particularly vulnerable. Therefore, data security in analytical tools such as Microsoft Power BI is becoming a priority not only for IT departments, but also for business leaders. Power BI offers an advanced set of features that enable not only data analysis, but also effective protection at every stage of the lifecycle – from acquisition, through processing, to sharing and publishing reports.
In today’s business world, access to reliable and up-to-date data is crucial for making informed decisions. Business Intelligence (BI) tools are becoming increasingly important because they allow companies to analyze large volumes of data from various sources – ERP, CRM, Excel spreadsheets, financial systems, or marketing platforms. This enables managers and analysts to monitor results in real time, identify trends, and respond faster than the competition.
Power BI, one of the most popular data analysis tools, has been helping companies transform raw information into clear reports and interactive dashboards for years. However, the development of artificial intelligence (AI) has taken its capabilities to a whole new level. Thanks to integration with machine learning models and advanced predictive algorithms, users can now not only analyze historical data, but also forecast future trends and automate decision-making processes. This means that Power BI is no longer just a reporting tool – it has become a center for intelligent business analytics.
Have you ever spent hours merging data from Excel, your ERP system, and CRM, just to prepare a single report in Power BI? Manual filters, DAX formulas, exports, and endless tweaks – sounds familiar, right? Now imagine this: you just type a question in plain language, “Show me July sales broken down by region” – and within seconds, you have a ready-made chart.