With Power BI, you can aggregate data from various design tools and present it in a single, consistent view. This allows you to instantly assess project status and quickly identify problems and deviations. <\/p>\n
Access to up-to-date data in real time facilitates response to changes and better risk management. Data-driven decisions are more accurate and support the achievement of strategic goals. <\/p>\n
Microsoft Power BI allows you to automatically generate and refresh reports, eliminating the need to manually create status presentations. This saves project teams time and reduces the risk of human error. <\/p>\n
Regular monitoring of key KPIs and data visualisation allow you to spot deviations from the plan quickly. This enables you to take corrective action before the problem develops on a larger scale. <\/p>\n
Microsoft Project integrates seamlessly with Power BI, especially when data is stored in Dataverse or synchronised with Microsoft Planner. This enables analysis of schedules, team workload and budget efficiency. <\/p>\n
Integration with Jira allows you to create detailed analyses of sprints, backlogs, bugs, and developer team performance metrics. Data can be retrieved using a REST API connector or dedicated data sets provided by Atlassian. <\/p>\n
Although these are mainly visual and operational tools, data can be extracted via API or exported to Excel. Microsoft Power BI allows you to analyse task progress, team efficiency and completion times. <\/p>\n
More and more platforms of this type provide their own Power BI connectors or APIs that support integration. This allows you to monitor deadlines, resources, and budgets in different project phases on an ongoing basis. <\/p>\n
At this stage, we decide where to retrieve the data: an API, a ready-made connector, a CSV file, Excel, an SQL database, or cloud services. The source choice depends on the availability and structure of the data in the given tool. <\/p>\n
Access to data often requires logging in or authorisation \u2013 most commonly using API tokens, OAuth or a Microsoft account. It is worth ensuring security and regularly renewing access keys. <\/p>\n
Raw data needs to be transformed \u2013 in Power Query, we can clean it, merge it, and prepare it for analysis. At this stage, we also create relationships between tables and DAX measures. <\/p>\n
Ready data is presented in the form of charts, tables and KPIs \u2013 according to the needs of business users. Reports can be filtered, interactive and tailored to different audiences (e.g. management, PM, IT team). <\/p>\n
Contains information about task completion, milestone status, and estimated project completion time. Facilitates assessment of schedule compliance and prioritisation of activities. <\/p>\n
Allows you to analyse which people are overloaded and which have free resources. Supports team optimisation and reduces the risk of burnout. <\/p>\n
Financial reports compare planned costs with actual costs and show budget overruns. They help control spending and plan future investments. <\/p>\n
Risk and change boards show the impact of individual risks on the schedule and costs. They facilitate uncertainty management and quick response in crisis situations. <\/p>\n
A portfolio-style overview of projects lets you see which projects are on track and which require intervention. Particularly useful for PMOs and management. <\/p>\n
Practical example: Power BI + Jira<\/strong><\/p>\n An IT company using Jira can use Power BI to analyse the effectiveness of scrum teams. For example, the velocity report shows the pace of task completion in sprints, and the burndown chart allows you to monitor progress against the plan. <\/p>\n In addition, Power BI analyses the lead time and cycle time of requests, which helps identify bottlenecks. Project managers can also quickly see the number of critical errors and the time needed to fix them, which supports quality and SLA compliance. <\/p>\n Challenges:<\/strong><\/p>\n There are often limits on the number of queries, data pagination, or no option to download change history. This requires the development of clever data import logic and possible archiving. <\/p>\n The tools differ in their data structure \u2013 one saves time in UNIX format, others in ISO format. It is therefore necessary to standardise them and convert them appropriately in Power Query. <\/p>\n Depending on the source, data can be refreshed hourly, daily, or manually. It is worth establishing an update schedule that matches the pace of the project teams. <\/p>\n Good practices:<\/strong><\/p>\n They facilitate the standardisation of ETL processes and the reuse of transformed data in various reports. Particularly useful in environments with multiple teams and projects. <\/p>\n Your own date table, including weekends and holidays, enables more accurate reporting. This is particularly useful for measuring working time and deviations from deadlines. <\/p>\n It is good practice to divide projects by type, owner, department or status. This allows for improved analysis and a better understanding of trends. <\/p>\n The integration of Power BI with project management tools is a powerful tool in the hands of managers and PM teams. It enables data-driven decision making, automated reporting, and improved transparency of project activities. Regardless of the scale and industry, it is worth leveraging Microsoft Power BI’s potential to improve project management and increase team effectiveness. It is not just data analysis but real support in delivering projects on time, within budget, and within scope. <\/p>\n","protected":false},"excerpt":{"rendered":" Effective project management requires access to reliable data, quick decision-making, and ongoing progress monitoring. While popular project management tools such as Microsoft Project, Asana, Trello, Jira, and Monday.com offer rich operational features, they often lack advanced analytics capabilities. This is where Power BI comes in \u2013 a Business Intelligence tool that enables you to create interactive reports, dashboards and real-time analytics. In this article, we will show you why it is worth integrating Power BI with project management tools, what benefits such integration brings, and what analytical scenarios can be implemented in practice. <\/p>\n","protected":false},"author":2,"featured_media":10131,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[30],"tags":[443],"class_list":["post-8910","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-microsoft-power-bi-en","tag-integration-of-power-bi-with-project-management-tools"],"yoast_head":"\nIntegration challenges and good practices<\/h2>\n
API restrictions<\/h3>\n
Various data formats<\/h3>\n
Data currency<\/h3>\n
Using Power BI Dataflows<\/h3>\n
Creating a project calendar<\/h3>\n
Data segmentation<\/h3>\n
Summary<\/h2>\n