SAS 360 Discover enables organizations to go beyond channel-level data collection to collect detailed customer-level digital data across owned digital properties. This functionality allows you to use the collected data to gain new insights using analytics that enable better true omnichannel digital insight for marketers. Build A Complete, Unified View of Your Customers Capture all customer activities down to the keystroke, seeing everything they did and where they went across your digital properties. With our customer experience data model, you can integrate with your offline data, combining sources to gain a complete view of your customer for better insight, leading to more relevant offers and customer experiences. Reduced Tagging Means Reduced Cost of Ownership With a single line of HTML code, you can capture the dynamic collection of complete, detailed, and accurate customer interaction data without heavy tagging. Changes to the page design are accounted for automatically during data capture, eliminating the need to continually retag the page. Open Data Model Supports Immediate Data Analysis and Integration The solution houses all online data in an open, customer-centric data model that promotes further data exploration and analysis. Online data is logically structured within a predefined business context, enabling integration with existing customer data, and allowing nontechnical staff to perform ad hoc reporting quickly and easily. Rise Above the Limitations of Traditional Digital Analytic Reporting End-to-end data management, visualization, data mining, and machine learning capabilities cater to no-code, low-code, and high-code users. Empower data-driven team members of all skill levels and coding languages with automation and customization capabilities to maximize the analytical potential of the web and mobile first-party data assets. Infuse AI Into Your Customer Journey Strategies Customers provide a wealth of information on your websites and mobile apps that reveal their buying plans, significant life changes, and other insights that are frequently never communicated to the marketers responsible for personalizing their journeys. Capturing this digital intelligence and integrating it into analytical models derives actionable scoring for segmentation, propensities, recommendations, and reinforcement learning. The marketer can leverage prescriptive insights in the same manner as filtering, suppressions, and arbitration rules.