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Take your digital transformation to the next level with Microsoft

Microsoft Power BI

Microsoft Power BI is a collection of tools used to import, aggregate and present data in the form of immersive and easy-to-digest reports and visuals.

Data Analytics

Power BI allows for easy data analysis and visualization, with the ability to connect to a variety of data sources and create interactive reports and dashboards.


Power BI integrates with other Microsoft tools and services, as well as third-party applications, enabling users to streamline workflows and collaborate effectively.


As a cloud-based service, Power BI offers scalability, accessibility, and flexibility, with the ability to access data and insights from anywhere, at any time, on any device.

Unlocking the Power of Data: How Power BI Enables Advanced Analytics and Insights

Power BI is a powerful data analytics and visualization tool that enables businesses to gain insights from their data. With intuitive and interactive dashboards, reports, and charts, Power BI makes it easy for users to analyze and understand their data, identify trends, and make informed decisions. It also offers advanced data modeling and integration capabilities, allowing organizations to connect to a wide range of data sources and transform raw data into actionable insights. With Power BI, businesses can unlock the full potential of their data and drive success through data-driven decision-making.

Power BI: Core Concepts

Microsoft Power BI is a set of tools utilized to import, aggregate, and present data through immersive and easily understandable reports and visuals.

Power BI is recognized as a leader among analytics and BI platforms by the major research companies (Gartner, Forrester, IDC, etc.). Best for data analysis for non-technical business users.

What Features Make Power BI an Industry Leader

Data management

Data ingestion

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

100+ native data source connectors

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

Power BI dataflows

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

Integration with Azure Data Lake Storage Gen2

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


Data modeling

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

The statistical language R support

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

Quick Insights

Speedy search for trends and displaying for an entire dataset.

Predictive analytics

Through ML models created in Azure Machine Learning Studio.

Real-time data analytics

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


Enterprise-wide reporting

Distributing reports preconfigured by analysts across the company.

Scheduled reporting

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

Ad hoc reporting

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

Paginated reporting

Presenting all the required data in a table format.

Mobile reporting

Optimizing Power BI content for mobile users.

Embedded reporting

Incorporating Power BI content into other applications.


Interactive dashboarding

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

Drill-down functionality

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

Pre-built visuals

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

Custom visuals

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

Natural language user interface

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


Data encryption

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

Workspace-level security

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

Row-level security

Restricting data access at the row level.


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

Availability in Microsoft national clouds

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

Valuable Integrations for Power BI

Power BI + Enterprise data warehouse

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

Power BI + ERP

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

Power BI + CRM

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

Power BI + HRMS

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


Power BI + IoT device management system

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

Solutions Built with Power BI

Enterprise-wide BI

Financial analytics

Sales and marketing analytics

Operational analytics

Manufacturing analytics

IoT analytics for monitoring and tracking

Engineering and scientific analytics

Healthcare analytics

Analytics embedded in applications

Value to Obtain with Power BI

Easy access to analytics insights

As data required for decision-making is easily available, digestible and manipulated, time to insight becomes up to 27% faster compared with traditional BI*. Such improved analytics results in increased revenue, more efficient business processes, faster time to market for products, increased customer satisfaction, lower inventory and supply chain costs.

Reduced data analysts’ efforts

The automation of data wrangling activities, analytics accelerated with AI-driven engines lead to the self-sufficiency of non-technical business users in conducting data analysis and allows analytics professionals to concentrate on such activities as data management, complex data modeling, advanced data analysis, etc.

Increased business users’ productivity

Power BI self-service tools, intuitive interface and collaboration capabilities improve business users’ productivity and lead to the average time saving of 1.75 h per week.

Driving data culture

Delivering business intelligence to business users across the entire company becomes easy and affordable with Power BI Desktop for free and a Power BI Pro version for $9.99/user/month.