Role Project Management
Overview
Kater is an AI-driven platform designed to transform your company's data into actionable insights through structured decision trees, enabling executives to make informed decisions without the need for extensive data interpretation.
Key Features:
- Kater provides dynamic Jupyter notebooks that adapt to data in real time, allowing data teams to structure decision-making into reusable Playbooks.
- The platform offers a shared semantic layer that ensures metric consistency and eliminates the need for back-and-forth communication with data teams.
- Kater's AI agents learn from past Playbooks and questions, providing context-aware answers and reducing the need to re-explain data needs.
Benefits:
- Kater empowers stakeholders to self-serve insights, reducing delays and enabling faster decision-making processes.
- The platform enhances data security with SOC 2 Type 2 compliance, encrypted data handling, and secure credential storage.
- Kater maintains unified governance over data access, privacy, and compliance, ensuring consistent security policies across the organization.
Use Cases:
- Businesses can use Kater to automate decision flows and enforce metric consistency, allowing for more efficient data-driven decision-making.
- Organizations can leverage Kater's structured decision trees to guide stakeholders in asking the right questions and interpreting data correctly.
- Kater is ideal for companies looking to transition from reactive to proactive decision-making by continuously updating insights based on real-time data conditions.
Capabilities
- Automates data workflows
- Generates personalized reports
- Builds data blueprints for decision-making
- Transforms data into actionable insights
- Enables self-service data analytics
- Structures decision-making into reusable playbooks
- Automates decision flows
- Enforces metric consistency
- Empowers stakeholders to self-serve insights
- Builds interactive decision trees
- Executes Jupyter notebooks dynamically based on real-time data
- Promotes variables into a unified semantic layer
- Trains AI to understand data
- Highlights action items in reports
- Structures business questions as decision trees
- Integrates with Snowflake, BigQuery, Databricks, Redshift, and MS-SQL
- Integrates with dbt Cloud, Slack, and GitHub
- Identifies and handles sensitive data securely
- Maintains unified governance
- Learns from past playbooks and prior questions
- Delivers context-aware answers