Attractive Data Visualizations
Power BI offers data through detailed and attractive visuals. You can use as simple or as complex of a representation to highlight your data set when creating reports and dashboards. Additionally, a library for unique visualizations is accessible. With a vast collection of data visualizations, you can begin visualizing your boring data into interactive graphs and charts. Look through many more on AppSource. Each graphic has been examined and approved by Microsoft for easy integration with Power BI and the provision of insightful data.
Dataset Filtration
A dataset is a collection of data that has been assembled from several data sources. The datasets can be used to produce a variety of visualizations. A dataset can be created using data from multiple data sources or a single source, such as an Excel worksheet. The datasets can be filtered to create smaller subsets that only include the relevant information in the given context. Power BI provides access to a large number of built-in data connectors, including those for Excel, SQL databases, Oracle, Azure, Facebook, Salesforce, MailChimp, and others. Users can connect to these data sources with ease, and by importing data from one or more sources, users can generate datasets.
Customizable Dashboard
Easily customize your dashboard to prioritize the exact data that you need. Power BI dashboards consist of tiles representing various visualizations. They are individual report pages. The dashboards can be printed and shared. These tiles can be altered, as well as their size according to your need. Additionally, they can be positioned wherever you prefer on the dashboard.
Secure Data Analytics
We understand the importance of data in an organization, so with Power BI, your data will be encrypted twice from beginning to end. Utilizing tight permission controls and network isolation with Virtual Network support, you can lower the risk of network invasions. With the help of Power BI's supervision features and the Microsoft Cloud App Security site, you may discover and examine problematic behavior patterns. To prevent data from being exposed to the public internet, use Azure technologies such as Azure Private Link, service tags, and Azure Virtual Network. Create sensitivity labels that keep your data safe even after it is exported using Microsoft Information Protection.
