Implement descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis on enterprise business and systems data.
Use it for monitoring business application and services transactions monitoring, such as rate of booking, rate of delivery, customer happiness index, etc
Helps to run aggregations queries and fact finding searches, faceting queries for data exploration and click through user experiences.
Continuously compute correlations amongst select events and data and use it to draw insight.
Develop dashboards and determine ACLs for engineering, business and support teams to collaborate and cooperate in customer success.
Rules based determination of actionable events and values, email & sms based notifications, http & custom protocol based forwarders to external systems to integrate with support ticket tracking systems, etc.
Tulavi imports large database tables and joins by partitioning and flattening the data on to distributed storages for performance boosted reads.
It continuously polls and pulls latest updates from sources for Near Real Time updates to be made available for the downstream systems with strict SLAs.
Tulavi exposes REST APIs to query and filter data and support multiple data formats including XML, JSON and CSV.
Implement custom data access APIs for exporting data to external client applications with integrated auth and auth.
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