Power BI – Definition, Use Cases and Best Practices at a Glance
Power BI is a Microsoft platform for data visualisation, dashboards, reporting and business intelligence. It brings together data from ERP, CRM, Excel, databases and cloud systems and makes it usable as key figures.
Power BI: Definition & Use in Reporting | Glossary
In many companies, data is scattered across ERP, CRM, Excel and various tools – meaningful key figures rarely arise from this on their own. Power BI brings these sources together and turns raw data into understandable dashboards and reports.
The biggest lever lies not in the colourful chart but in a clean data model, clear KPIs and well-thought-out governance.
This glossary entry for Power BI gives you a clear Definition, practical Use Cases and Best Practices at a glance – with examples, pros and cons, and FAQs.
What is Power BI?
- Power BI is a Microsoft platform for data visualisation, dashboards, reporting and business intelligence. It brings together data from ERP, CRM, Excel, databases and cloud systems and makes it usable as key figures.
Power BI is a Microsoft platform for data visualisation, dashboards, reporting and business intelligence.
It makes it possible to bring together data from different sources – such as ERP, CRM, Excel, databases, APIs or cloud systems – prepare it and present it as interactive reports and key figures.
Core elements are connecting data sources, a data model in which the data is linked and key figures are defined, and dashboards and reports for different user groups.
The value of Power BI depends not on the software alone but heavily on the prerequisites: data quality, a well-thought-out data model, correct permissions, regular updating, governance and above all a clear KPI definition.
Power BI differs from simple Excel reporting (limited scaling and linking), from individual dashboard development (more flexibility, higher effort) and from classic, often heavyweight BI systems. Related topics are business intelligence, data pipelines, ETL processes, databases and ERP.
How does Power BI work?
Power BI first connects to the relevant data sources. The data is prepared and transformed – often via integrated tools or upstream ETL/data pipeline processes that cleanse and merge data.
In the data model, tables are linked and key figures defined, such as revenue, margin or utilisation. On this basis, reports and dashboards with interactive visualisations are created that users can filter and drill into. Permissions control who may see which data.
The data is updated on a schedule or event-based so evaluations stay current. For sound reporting, clear KPI definitions are decisive: only when everyone shares the same definition of key figures do dashboards provide reliable decision bases.
Governance regulates who creates, approves and maintains reports so that no confusing sprawl arises. Poor data quality or an unclean model, by contrast, lead to wrong key figures despite appealing visualisation.
Practical Examples
A sales dashboard brings together revenue data from the ERP and customer data from the CRM.
Management receives a dashboard with defined KPIs that is updated automatically every day.
Excel evaluations are replaced by a central, consistent Power BI model.
Permissions ensure that each department sees only its relevant key figures.
An upstream data pipeline cleanses and unifies data before it flows into Power BI.
Typical Use Cases
Management dashboards with central company key figures
Sales, finance and production reporting
Bringing together data from ERP, CRM, Excel and databases
Replacing scattered Excel evaluations with a consistent model
Self-service reports for departments with clear permissions
Data-driven decision-making with defined KPIs
Advantages and Disadvantages
Advantages
- Brings together data from many sources into consistent key figures
- Interactive dashboards ease data-driven decisions
- Integration into the Microsoft ecosystem and common data sources
- Scales better than scattered Excel evaluations
- Permissions enable role-appropriate views of data
Disadvantages
- Value depends heavily on data quality and data model
- Without a clear KPI definition, contradictory key figures arise
- Governance needed to avoid report sprawl
- Preparation and modelling require know-how
- Licensing and updating aspects must be considered
Frequently Asked Questions about Power BI
What is Power BI?
Power BI is a Microsoft platform for data visualisation, dashboards, reporting and business intelligence. It brings together data from sources such as ERP, CRM, Excel and databases and presents it as key figures.
How does Power BI differ from Excel?
Excel suits ad-hoc evaluations but reaches limits with large, distributed data volumes and consistent linking. Power BI offers a central data model, automatic updating, permissions and interactive dashboards.
What prerequisites does good Power BI reporting need?
Above all good data quality, a well-thought-out data model, correct permissions, regular updating, governance and clear KPI definitions. Without these foundations, even nice dashboards deliver wrong key figures.
How does Power BI relate to ETL and data pipelines?
Data is often cleansed, merged and unified via ETL processes or data pipelines before use in Power BI. This creates a solid data base for reliable reporting.
Who benefits from Power BI?
Companies that want to bring together data from several systems into key figures and decide in a data-driven way. Especially useful when scattered Excel evaluations are to be replaced by a consistent, maintained model.
Direct next steps
If you want to apply or evaluate Power BI in a real project, start with these transactional pages:
Power BI in the Context of Modern IT Projects
What this glossary entry gives you
This page gives a concise definition of Power BI. You also get practical use cases and best practices at a glance.
You can use it to evaluate the technology for your next project. Power BI sits in the domain of Technology. It plays a significant role across many IT projects.
Look beyond isolated technical merits
When you judge whether Power BI is the right fit, look beyond isolated technical merits. You should weigh the full project context.
Consider the following factors:
- Existing team expertise
- Current infrastructure
- Long-term maintainability
- Total cost of ownership (TCO)
Drawing on our experience from over 250 software projects, we have found that correctly positioning a technology or methodology within the broader project context often matters more than its isolated strengths.
How we help you decide
At Groenewold IT Solutions, we have worked with Power BI across multiple client engagements. We know its advantages and the typical challenges during adoption.
If you are unsure whether Power BI suits your requirements, ask us for an honest, no-obligation assessment. We analyze your situation. We recommend the approach that delivers the most value. We may suggest an alternative solution if that fits better.
Where to go next
For more terms in Technology and related topics, open our IT Glossary.
For concrete applications, costs and processes, use our service pages and topic pages. There you will see many of the concepts from this entry applied in practice.
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