The organizations are relying on Big Data to succeed. With the right tool, organizations can easily handle the volume of important information to identify market trends and patterns. With the advancements in the field of technology, Business Intelligence software has grown increasingly sophisticated over the years, enabling data processing and collating from a hundred different sources. Microsoft Business Intelligence is one such application that enables you to make better decisions with better business insights.
Power BI aims to help businesses by transforming complex information into extractable insights. Microsoft BI stack is a logical extension to business intelligence tools as part of the Microsoft SQL Server, Sharepoint, and Office applications. Microsoft Power BI allows businesses to direct data through IT systems, identify and isolate data, and create expansive reports on the current status of different departments.
They include SSIS (SQL Server Integration Services), SSAS (SQL Server Analytical Services) and SSRS (SQL Server Reporting Services). This application turns any mass of data into a digestible report, dashboard, graph, spreadsheet or another format. Microsoft Business Intelligence platform works by moving data from multifarious, unmanageable sources to a centralized architecture where it can be reconfigured.
Microsoft BI consists of following:-
SQL Server Integration Services (SSIS)
SSIS is high-performance data integration and workflow solutions that includes extraction, transformation, and loading (ETL) operations for data warehousing. It enables processing of data from different locations, in various formats while also saving data into a centralized repository as a Data Warehouse/Data Mart (destination).
It includes graphical tools and wizards for building and debugging packages. SSIS is commonly used for reporting and business analysis purposes. Data warehouse stores the current and historical data to generate trend reports, predictive analysis, and comparison report. All these trends are very helpful for decision making.
SQL Server Analysis Service (SSAS)
With this, you can do online analytic processing (OLAP) of data from disparate data sources. SSAS is an analysis service that provides enterprise-grade semantic data models for business reports and client applications such as Power BI, Excel, Reporting Services reports, and other data visualization tools.
SQL Server Reporting Service (SSRS)
Customers can deploy SSRS on their own premises for creating, publishing, and managing reports, while also delivering reports to the right users, whether that’s viewing them in the web browser, on their mobile device, or as an email in their inbox. It supports various data sources like two dimensional and multi-dimensional.
There are more tools (QlikView and Qlik Sense) for business intelligence & data visualization. In QlikView, the user is pursuing day-to-day tasks, analyzing data with a slightly configurable dashboard, most of the data is somehow “pre-canned”. On the other hand, Qlik Sense allows associating different data sources and fully configuring the visualizations, allowing to follow an individual discovery path through the data. They provide integration facility for various technologies.
Why is Power BI So Important?
Microsoft has offered Power BI in different pricing tiers that are Power BI Desktop, Power BI Pro and Power BI Premium. Desktop enables database connection to publish visualizations on public online spaces, such as the Power BI service. Power BI Pro offers more control over report sharing, with features that enable access restrictions, project collaboration and simplified circulation.
Power BI Premium is made for large-scale data analysis, increased distribution ability and more options for deployment. Power BI can extract insights from much newer SaaS architectures (like Zendesk and Github) just as easily as it can from traditional databases.
Key Features of Power BI
Finding Data:- The main function of Power BI is to search for information in as many different sources as you want to. However, Microsoft Direct Query isn’t compatible with all data types.
Transforming Data (Query):- With Query Editor, you can organize the data in multiple ways.
Reporting and Publishing:- After getting relevant insights, you can draw custom reports. The most common way to present information includes pie and line charts. Power BI also supports the use of third-party custom visuals.
Creating Dashboards:- You can control who views and interacts with the report. Furthermore, you can also highlight important bits and pin using the virtual board. You can switch certain permissions on or off depending on whom you want to see the report.
Sharing and Collaborating:- Power BI has a central control function, so data management processes can be overseen at an executive level. It offers managers and supervisors the flexibility to view and edit reports.
On-Premise Data Gateway:- With this, you can create a secure connection between your local network environment with Power BI service, enabling the report to update itself whenever new information is added, or the existing data is changed in some way.
Power BI Mobile:- It offers mobility as it can be accessed on Windows, Android and iOS devices with the corresponding app.
Azure Integration:- Power BI can be integrated with Azure, enabling data processing efforts into analytics and reports that provide real-time insights into your business.
Flow and PowerApps:- With Flow and PowerApps, you get additional tools for dashboard organization and integration. These tools make it easier to establish parameters for reports and structure information in an optimal way.
Stream Analytics:- It supports smooth streaming of information to the dashboard to bring machine sensor data into the dashboard for dynamic reporting.