Power BI

Data Connection

Power BI can connect to a variety of data sources, including Excel, databases, cloud services, CSV files and many others.

Modelling Data

Power BI allows users to combine and transform data from different sources to create a unified database.

Visualisation

Power BI provides a variety of charts and graphs that allow users to present data in a simple and visually appealing way.

Dashboard

Users can create dashboards to capture key business metrics at a glance.

Reports

Power BI allows users to create interactive reports that provide detailed insights into the data.

Collaborations

Power BI allows users to share and manage reports and dashboards with other users.

Data analysis: Power BI enables companies to analyse their data in real time and identify trends to make informed decisions quickly.

Visualisation: By creating charts, graphs and dashboards, companies can present their data in an engaging and easy-to-understand way.

Business process optimisation: Power BI can help optimise business processes by enabling users to combine and analyse data from different sources to identify weaknesses and potential for improvement.

Collaboration: Power BI facilitates collaboration between different departments and teams by enabling reports and dashboards to be shared and worked on together.

Mobile working: Power BI’s mobile app allows users to access important data and make quick decisions on the go.

AI integration: Power BI integrates artificial intelligence and machine learning to make predictions and identify trends that matter to the business.

Better Decisions

Data analysis can help make informed decisions based on objective data. For example, companies can make decisions about which products to sell, which markets to enter, or how to optimize their marketing strategies.

Trends & Patterns

Data analysis can help identify patterns and trends in the data that indicate an opportunity or problem. For example, retailers can identify seasonal trends based on sales data and adjust their inventory accordingly.

Proactive Solutions

Data analytics can help identify potential problems before they occur and develop proactive solutions. For example, based on data about customer complaints, companies can take preventive measures to avoid similar problems in the future.

Increase Efficiency

Data analytics can help identify and improve inefficient processes. For example, based on data about the workload of their employees, companies can optimise workflows to increase productivity and avoid bottlenecks..

Personalised Approaches

Data analytics can help develop personalised approaches based on the individual needs and preferences of customers or users. For example, companies can develop personalised recommendations and marketing campaigns based on data about purchasing behaviour.

Reduction costs

y analysing data, companies can also identify areas where they can reduce costs. This can be achieved, for example, by identifying inefficient processes or reducing waste and excess inventory.