Data Anonymization for Privacy Compliance
This feature provides automated data anonymization, masking sensitive information such as personal identifiers to ensure privacy compliance with regulations like GDPR and CCPA. By removing or obfuscating identifiable information, companies can securely use data for analysis without compromising user privacy, which is essential in highly regulated industries. I think this is similar to this thing here.. Here's a link https://en.wikipedia.org/wiki/HyperlinkPredictive Analytics with Scenario Modeling
This feature enables users to create "what-if" scenarios by adjusting key variables and forecasting potential outcomes using predictive analytics. With scenario modeling, users can visualize how changes in one area, such as pricing or customer behavior, may impact future results, empowering them to make data-driven decisions with confidence and plan proactively for different business conditions.Insight Summaries with Natural Language Generation (NLG)
Insight Summaries use NLG to generate easy-to-understand descriptions of key data insights, such as trends, outliers, and anomalies, directly from raw data. Users can receive these summaries as brief sentences or paragraphs, making complex data accessible to non-technical stakeholders and accelerating data-driven decision-making.
