SAS® 360 Discover Features
Data collection for web, mobile applications & touchpoints
- Collect user behavioral data from pages, screens and traffic sources across all digital properties.
- Monitor goals, events, page- and screenviews, sequential navigations and other types of customer interactions
- Customizable data collection and transfer processes to comply with GDPR and CCPA.
Open data model
- An enterprise-scale solution for accessing a set of structured relational tables for customer experience measurement
- Translates raw semi-structured digital data into business-relevant information.
- Available as SaaS, Stream or through a Download API for analytics, online-offline data integration, campaign management, real-time decisioning, and other use cases.
- Configuration rule interface to enable, standardize and automate how digital data should be contextualized for a brand’s business model
- Identity management services aggregate data views for sessions, anonymous prospects, identifiable traffic and existing customers while updating user ID graphs in real-time as new data is captured.
- Join other 1st/2nd/3rd party data attributes through deterministic matching
- An external API gateway allows for the streaming of events to any cloud or on-premises access point.
- Integrate with decisioning to elevate next best action capabilities (such as real-time propensity scoring, business rules, and arbitration) to detect a significant event regarding a customer and determine the best offer to deliver based on the user's current context.
Interactive dashboards, reports & smart visualizations
- Go directly from reporting and exploration, to analysis, to sharing information through different channels, including Microsoft Office applications, with a single interface.
- Present data and results in the most compelling way with advanced data visualization techniques and guided analysis through auto charting.
Self-service data preparation & analytics
- Customizable forecasting, goal seeking, scenario analysis, decision trees, text analytics, sentiment, pathing, correlation, parallel coordinate plots, heat maps, location/geo-spatial, network diagrams and other visual analyses.
- Preparation includes cleansing, transposing, appending, joining, standardizing, partitioning and feature engineering.
Work smarter with digital data
- Get AI-based suggestions on data preparation to work faster. Suggestions can automatically generate transformations like one-hot encoding, center and scale, and imputation tailored to your data – no coding needed.
- Dynamically generated natural language explanations blended with forecasting, decision trees, text analytics, network analyses, pathing and other features help users better understand results.
- Autocharting automatically chooses the graph best-suited to display selected data.
- Automated Explanation determines which variables, dimensions and metrics contribute to an outcome, while providing a simple natural language explanation highlighting patterns and outliers.
- Automated Prediction builds multiple machine learning for your data based on the variable you’re interested in, and derived insights are easily embedded into interactive reports.
Embed insights & results anywhere
- Embed results of any dashboard, report, visualization or analysis anywhere, including custom web and mobile apps, so anyone within your organization can consume and explore data insights.