Visualize Your Data All Across the Company with Microsoft Power BI

Ingesting various data structures, including relational data, big data, IoT data, streaming data.

File data sources, databases, Azure data source ecosystem, online services.

Self-service relational and big data ingestion, cleaning, enrichment, etc.

To unify and enable collaboration on data across Power BI and Azure data services.

AI-powered data modeling with AutoML, Cognitive Services, Azure ML (Power BI Premium).

Using R for preparing data models, reports, data cleansing, advanced data shaping, dataset analytics, etc.

Speedy search for trends and displaying for an entire dataset.

Through ML models created in Azure Machine Learning Studio.

Real-time streaming with Power BI REST APIs, Streaming Dataset UI, Azure Stream Analytics to display and update real-time data.

Distributing reports preconfigured by analysts across the company.

Periodically delivering reports with the preset values defined by data analysts, BA, etc. at scheduling.

Self-service reporting on the as-needed basis to answer specific questions.

Presenting all the required data in a table format.

Optimizing Power BI content for mobile users.

Incorporating Power BI content into other applications.

Presenting a comprehensive visual snapshot of business-critical information in a single location.

Drilling up and down on data points to explore in-depth details about company’s data.

Hundreds of out-of-the-box visuals, including charts, cards, KPIs, maps, matrix, etc. provided by Microsoft and the community.

Creating propriety visuals using the Power BI open source custom visuals framework.

Asking natural language questions and getting answers in the form of automatically created visuals and reports.

For data in transit and at rest with Microsoft-managed encryption keys or the ‘bring your own key’ approach.

Restricting Power BI content access by publishing it to a separate workspace.

Restricting data access at the row level.

Compliance with ISO 27001, ISO 27018, EU Model Clauses, HIPAA BAA, and UK G-Cloud.

Meeting additional regulations on service delivery, data residency, access, and control.

To explore and visualize corporate data stored in a centralized data storage.

To quickly optimize finance and operations related to product planning, manufacturing, sales and marketing and discover new business opportunities.

To overview customer-related data in near-real time to find top sales opportunities and better engage with customers.

To make data-driven HR decisions for attracting and managing employees, increasing employee productivity, and creating a quality work environment.

To get insight (including real-time) into the functioning of connected products, machinery, buildings, medical devices, etc. to discover new optimization opportunities, etc.