Democratize analytics for all of your stakeholders, both inside and out

Across the globe, more enterprises are turning to user-facing (or customer-facing) analytics to operate with more agility, keep their customers engaged, and even create new data-driven product offerings. Learn what user-facing analytics can do for your business.

Dashboards and reports

Allow users to access various charts, tables, graphs, and metrics that summarize their data and performance.

Personalization and recommendations

Provide personalized results and recommendations based on user behaviors and preferences.

Alerts and notifications

Inform and update users by sending them timely and relevant messages based on their data and behavior.

Predictive analytics

Use historical data to predict future events or outcomes, and allow users to better plan for what comes next.

User-facing analytics explained

User-facing analytics (UFA) is about much more than internal dashboards. Also known as customer-facing analytics, UFA encapsulates any and all instances of sharing data with internal and external stakeholders. Learn what applications UFA has for your business in this video.

Interactive dashboards and reports

Dashboards and reporting form the foundation of user-facing analytics. Users, both internal and external, rely on reporting to summarize their data and performance. High-performance analytics allows for up-to-the-minute insights, enabling stakeholders to take advantage of their new insights as soon as possible.

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.

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.

Here's why enterprises are moving to CelerData for their user-facing analytics

From Airbnb to, businesses needing to serve analytics quickly to a truly massive (and demanding) pool of users are selecting CelerData for its unbeatable performance and unique features.

Query Cache

An intermediate result cache that is tailored for user-facing analytics where all of the queries are generated from within the BI tool or application being used.

Cost-Based Optimizer

StarRocks' cost-based optimizer (CBO) is custom-made and deeply optimized with its storage engine. It uses statistics collected from the data to estimate the costs of different execution plans for a query and picks the most efficient.

Materialized View

StarRocks streamlines query acceleration with its asynchronous materialized views (MV). Unlike similar products that need manual query rewriting, StarRocks' MVs update automatically with base table changes and are auto-selected to optimize queries.

MPP Architecture

A massively parallel processing (MPP) architecture with in-memory data shuffling that prevents a single node from bottlenecking the entire system.