Infragistics Adds Predictive Analytics, ML and More to Reveal Embedded BI Tool

By on

According to a recent press release, “Infragistics is excited to announce a major upgrade to its embedded data analytics software, Reveal. In addition to its fast, easy integration into any platform or deployment option, Reveal’s newest features address the latest trends in data analytics: predictive and advanced analytics, machine learning, R and Python scripting, big data connectors, and much more. These enhancements allow businesses to quickly analyze and gain insights from internal and external data to sharpen decision-making. Some of these advanced functions include: (1) Outliers Detection—Easily detect points in your data that are anomalies and differ from much of the data set. (2) Time Series Forecasting—Reveal will make visual predictions based on historical data and trends, useful in applications such as sales and revenue forecasting, inventory management, and others. (see attached image). (3) Linear Regression—Reveal finds the relationship between two variables and creates a line that approximates the data, letting you easily see historical or future trends.”

The release goes on, “Reveal’s new machine learning feature identifies and visually displays predictions from user data to enable more educated business-decision making. Reveal reads data from Microsoft Azure and Google BigQuery ML Platforms to render outputs in beautiful visualizations… R and Python are the leading programming languages focused on data analytics. With Reveal support, users such as citizen data scientists can leverage their knowledge around R and Python directly in Reveal to create more powerful visualizations and data stories. They only need to paste a URL to their R or Python scripts in Reveal or paste their code into the Reveal script editor.”

Read more at Globe Newswire.

Image used under license from

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept