AI and ML to learn pattern and adjust alert criteria for Anomaly detection
4DAlert LEVERAGES AI AND ML TO LEARN FROM PAST DATA POINTS AND ALERTS WHEN FIND ANOMALIES
AI and ML based algorithms to learn from pattern, detect anomalies and alert data owners when anomalies detected within data sets, a process that helps build end user confidence on data in your warehouse and saves time for end users to reconcile data and take wrong decision on bad data.
CERTIFY DATA IN BUSINESS INTELLIGENCE SYSTEMS
NOTIFY USERS PRO-ACTIVELY WHEN DATA IS WRONG
TAKE PRO-ACTIVE ACTION TO CORRECT DATA BEFORE END USERS TELL YOU TO DO SO
SAVE END USER'S AND SUPPORT TEAM'S TIME FROM RECONCILING DATA ALL THE TIME
Certify data in business intelligence systems
What Good is a Analytics Platform If Users Can’t Trust the Data?
Business users use insights from analytics platform to take key decisions that are many ways consequential for organization’s goal and overall performance. Therefore, it is very important that data is accurate and reconciled and has passed basic checks. Automated reconciliation algorithms embedded into 4DAlert solution helps to validate and confirm that data passes basic checks on regular basis – a process that builds trust and confidence on data in analytics platform.
Notify users early when data is wrong
Just being reactive is not enough, needs to be proactive.
4DAlert helps analytics team to tackle data issue more pro-actively than reactively. Solution scans data sets in source systems and compares that with data in analytics platform and detects anomaly. As and when anomalies are found, solution alerts key stake holders responsible for the data set and helps them tackle the issue before users identify the issue. Ability to notify users and take corrective action before end users tell you to do so helps you increase trust on your analytics platform.