Klera integrates with a wide range of tools, platforms, and databases such as Jira, Git, SonarQube, Jenkins, Salesforce, ServiceNow, SQL, Teradata and more, using standard REST-based or JDBC interfaces. Users can access data from these tools to perform cross-tool activities and write-back to native tools based on business logic. Klera also supports data collection from users using forms, and users can also perform advanced analytics using machine learning and python integration. Klera’s ability to take inputs, apply business logic and generate relevant outputs enables the creation of custom, workflow-based apps, or process automation apps. There are three main personas that engage with Klera either directly or indirectly – Authors, App Users and Readers.
Key platform capabilities include:
- Automate workflows
- Collect data for disparate sources including human inputs with forms
- Write-back to native tools
- Compute custom insights
- Create interactive visualizations
- Contextual insights delivery with storyboarding
- Apply AI/ML models for predictive analytics
- Setup smart alerts and triggers
- Generate actionable reports
- Securely share and collaborate across teams
- Extend capabilities using Python