Using data is integral to every business in today’s competitive world. Everyone understands its significance. However, data alone, or in its crude form, doesn’t help. Businesses require intelligent insights that help them analyze situations, delve into them to decode vital indications, and derive meaningful value to make informed decisions.
This is only possible when you have an empowering platform enabled with the latest technology. Microsoft Power BI, a tool known for its phenomenal capabilities to transform data into business intelligence, serves as one. It provides AI-based features that help you make the most of your data and fuel growth.
As a Power BI implementation company, we’d like to highlight these features and explain how they help Power BI deliver better value to modern-day businesses.
From Quick Insights to AutoML, here are six Power BI features that use AI to help businesses optimize and amplify business intelligence and its outcomes.
Power BI Quick Insights uses ML algorithms to instantly analyze datasets and highlight trends, anomalies, and correlations. It does not need any advanced modeling. You get immediate, data-based observations without complex querying or statistical expertise. For example, you upload your weekly sales data, and Quick Insights shows that summer cotton sales increase by 35% when temperatures cross 40 degrees.
Power BI connects to Azure Cognitive Services to analyze text, detect sentiment, parse key phrases, and tag images. This helps you analyze unstructured data such as social media, calls, and emails as easily as structured datasets.
For instance, your customer care team analyzes hundreds of support emails. Power BI tags sentiment and reveals that delivery delay escalations are 60% negative.
Trends and anomalies may go unnoticed, particularly when reviewed manually. However, the Anomaly Detection feature enables you to spot unexpected patterns speedily, highlighting potential issues or opportunities.
For example, while summarizing your sales report, you see a spike of 21% in sales from the southwest region. Anomaly detection, however, flags a sudden drop in website conversions, linking it to an increase in the page loading times.
Stop framing complex queries or building specialized technical skills just to get answers from your data. Powered by AI and advanced NLP technology, the Q&A feature lets you ask questions about your data in plain English. You simply speak or type your question, and the Q&A tool instantly generates visualizations such as graphs or charts with clear, actionable insights.
For instance, you can type or say, “What were the total sales figures of the northeast region in 2024?” or “Give me the number of customer service delay escalations in the last quarter.” Power BI instantly generates the data you need in a comprehensible way.
Power BI also offers numerous built-in AI visuals that let you uncover the stories behind your data. Two of them include Key Influencers and Decomposition Tree visuals. Unlock the Power of Gemini AI — Read the Full Guide Today!
* Key Influencers identifies what drives specific metrics. It analyzes your dataset to highlight factors with the most significant impact on a particular outcome. For example, Key Influencers can show that an increased discount percentage is the primary reason for the increased sales across the last quarter.
* Decomposition Tree visual enables you to break down a metric into its contributors across different dimensions. It is particularly useful while performing root-cause analysis. For example, for dipping sales, the Decomposition Tree feature can help determine the product lines and regions contributing to the drop.
Automated Machine Learning (AutoML) is a feature available in Power BI Premium. It helps you build ML models without writing code. AutoML enables Power BI to automatically select algorithms, train models, enhance accuracy, and produce explainable reports. The feature is crucial as it enables your business analysts to create predictive models for sales, churn, fraud, etc.
For instance, you can use AutoML to predict customers likely to abandon their carts. Power BI builds a model that identifies users browsing the website for more than 10 minutes without adding any items to the cart and tags them as high-risk. Your team receives an automated email reminder based on the forecast.
Choose Diacto Technologies for Power BI implementation and Power BI consulting services. We are Power BI experts with a proven track record of delivering tangible outcomes. Our support includes end-to-end handholding that involves understanding your challenges and requirements and ensuring a phased implementation with seamless integration to help you optimize each Power BI feature.
Want to explore more or speak with our experts? Please email us at info@diacto.com.
