Advanced analytics forms the backbone of modern business intelligence, and its analysis is key to a strong strategy. Microsoft Power BI is a leading platform for incorporating artificial intelligence and advanced analytics into business applications.
Advanced analytics in Power BI allows users to synthesize actionable insights from data to solve everyday business problems. With monthly updates, it is possible to take advantage of new features that make it simpler and more convenient to analyze large amounts of data and generate actionable insights. This blog thus discusses the high-performance, advanced analytical capabilities of Microsoft Power BI, including key features such as predictive analytics, visualizations, integrations, and expressions.
Power BI AI insights
Power BI AI Insights is a collection of pre-trained Artificial Intelligence models that can empower Power BI users for superior analysis and insights into their data. It consists of three components: first, Text Analytics which can detect language, score sentiment and detect key phrases. Second, Vision enables tagging images with machine learning models. Finally, Azure Machine Learning allows you to use Azure ML models to instantly apply complex algorithms to existing datasets for better data analysis. With Power BI AI Insights, business users can make more informed decisions based on current data without manual intervention
Power BI Embedded Analytics Client APIs
Power BI makes it easier for developers to quickly and easily embed highly customizable and responsive Power BI reports into their applications. Power BI Embedded Analytics Client APIs provide developers with a library of client-side scripts that make it easy to control Power BI content within their applications. With Power BI, developers can interact with Power BI’s Client APIs and receive their desired results instantly. Reports created using Power BI are interactive, detailed, and user intuitive so that developers can ensure the highest quality of Power BI content within their applications.
Predictive analytics with Azure
Predictive modeling helps businesses prepare for incoming trends and better cater to public demand or sentiment.
Microsoft Power BI provides Azure Machine Learning Studio, eliminating the need to explicitly program a computing module to identify and extrapolate trend patterns in data. Instead, the machine learning capability equips computers to learn from each new dataset the system scores and then adjusts the analytics and predictions accordingly. This computing prowess can be polished further with R integration, described below.
R integration
R is a particular programming language data scientists use for statistical data analysis. Coupled with a business’s Power BI suite, R integration can drastically transform the quality of data input and improve the accuracy of generated insights.
When used with the Power Query app, R can cleanse and fortify raw data by completing missing values or detecting data anomalies or outliers. R also significantly improves the data visualization flexibility of the Power BI suite.
Natural language and Q&A question box
The Q&A question box in Power BI is a handy feature that allows end users to quickly pull relevant results or data from a pre-existing dataset in the system. For example, asking, “Show me the sales revenue of the last quarter,” will prompt the Power BI Q&A feature to display a visual form of the requested values.
You can further interact with the Q&A visual. It will display the same data in different visualizations if the datatype and the chosen visualization are compatible.
Data models or M-Function
The Power Query module is mainly responsible for Power BI’s analytical capabilities. It works on the M or Mashup query language, also known as data modeling. This language is highly functional and used with Power Query to model, transform, and shape data for better analytics. The best part is that it can be used with Excel, Analysis Services, and Power BI Reports or Dashboards for data importing and modeling.
Quick Insights
Much like exploring uncharted territories for interesting findings, the Quick Insights feature in Power BI searches subsets of the selected dataset to retrieve insights that can potentially interest the organization.
You can launch Quick Insights at the click of a button from the navigation pane in the Data Sets option. The feature performs discovery tasks to capture new and intuitive insights using complex, sophisticated algorithms.
Power Query Editor
The Power Query Editor is a tool that allows end users to execute a source query to transform or reshape data at the source. It connects directly to the database and enables users to call Query Editor functions to model source data for enriched inputs. This tool is essential for preparing data, allowing users to experiment with hundreds of data transformations and previewing the data models before commencing analytics operations.
Derive advanced analytics using Power BI for businesses
Microsoft Power BI’s robust toolkit enables users and business decision-makers to analyze data successfully while improving the shareability and accessibility of the insights. The real-time dashboards provide a holistic view of the critical metrics an organization tracks, consolidated on a single interface and accessible through any device.
Power BI’s benefits can be best realized through competent, experienced implementation. With the help of the right partner—and PreludeSys is a great example—organizations can understand and apply Power BI’s subtle nuances and specialties, thereby improving its performance while deriving better results.
For more information on Advanced Analytics using Power BI, connect with the experts at PreludeSys.
