Democratize analytics for all of your stakeholders, both inside and out
Dashboards and reports
Personalization and recommendations
Alerts and notifications
Predictive analytics
User-facing analytics explained
Personalization and timely recommendations
Real-time personalization and recommendations allow for more tailored customer experiences and greater business agility. In fact, personalization can be quite profitable.
By combining real-time analytics with customer-facing personalization, online gaming companies like YooZoo Games have been able to build customer loyalty and grow sales. Learn how in this case study.
.webp)
Alerts and notifications when they matter most
Alerts and notifications lie at the heart of where real-time and user-facing analytics intersect. By sending timely and relevant messages based on data and behavior, businesses and their users can take swift action when it matters most.
For example, one of the world's leading social apps uses real-time alerts to monitor the health of its business and infrastructure. Learn more in this case study.
See the future with predictive analytics
Predictive analytics continues to grow in popularity as enterprises look to do more with the data they collect. By using historical data to predict future events or outcomes, businesses can anticipate challenges and help customers make more informed decisions.
One example of this is Zepp Heath, which uses real-time predictive analytics to allow their users to respond to changes in their activity in real time to improve their health. Learn more in this case study.
