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Kater

Turn data into decisions, not just dashboards.

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Description

Kater provides a platform designed to transform raw data into actionable business decisions rather than static reports. It allows companies to build an executive data assistant using structured decision trees, referred to as 'Data Playbooks'. These Playbooks guide users through insights, highlighting key information and suggesting next steps, moving beyond simple data visualization to active decision support. The system focuses on clarifying data interpretation and ensuring consistency through a shared semantic layer, which maintains unified definitions and logic for business metrics.

Featuring 'Butler AI', Kater offers self-serve capabilities, enabling stakeholders to get answers to follow-up questions based on learned business context without constant back-and-forth with data teams. It emphasizes security and governance, with features like SOC 2 compliance efforts, data encryption both in-transit and at-rest, secure credential management, and PII labeling. Kater integrates with major data warehouses like Snowflake, BigQuery, and Databricks, and offers options for using either a managed LLM or a self-hosted one via an OpenAI API key. It aims to empower both data professionals creating insights and business users seeking them, fostering proactive and informed decision-making.

Key Features

  • Data Playbooks: Structured decision trees guiding users through data insights and actionable next steps.
  • Butler AI: AI-powered assistant providing self-serve, context-aware answers to follow-up data questions.
  • Shared Semantic Layer: Ensures consistent metric definitions and logic across the organization, integrated with dbt.
  • Business Question Mapping: Intuitive flowchart-like interface for navigating data based on business logic.
  • Enterprise Security Features: Includes SOC 2 Type 2 compliance focus, data encryption, secure credential storage, and PII handling.
  • Flexible LLM Options: Supports using a self-hosted OpenAI API key or Kater's managed LLM service.
  • Major Data Warehouse Integration: Connects seamlessly with Snowflake, BigQuery, Databricks, Redshift, and MS-SQL.
  • Human-in-the-Loop SQL Assistance: AI helps data professionals write SQL for Playbooks, ensuring accuracy for business use.

Use Cases

  • Analyzing sales performance drivers.
  • Guiding stakeholders to ask impactful business questions.
  • Establishing a single source of truth for key metrics.
  • Accelerating the decision-making process based on data.
  • Reducing data team workload by enabling self-serve analytics.
  • Proactively identifying and responding to business trends.
  • Improving data interpretation for non-technical users.
  • Enhancing data governance and compliance.

Frequently Asked Questions

Who is Kater for?

Kater is built for both data professionals creating reports and data inquisitors (stakeholders) seeking quick, actionable insights with confidence.

How much does Kater cost?

Kater offers free trials. Annual contracts are determined by the size and complexity of your data and company. Contact Kater for detailed pricing.

What data warehouses do you integrate with?

Kater connects with Snowflake, BigQuery, Databricks, Redshift, and MS-SQL. Custom connectors can be built upon request.

How long does it take to set up?

Setup can take as little as 15 minutes, and Kater provides white-glove onboarding and concierge services.

How will Kater use my data?

Kater does not store your data in its application database and does not use your data to train any LLM. Data interaction primarily uses your browser's local cache.

Does Kater use AI to write SQL?

Kater uses AI only to assist data professionals in writing SQL when building Playbooks, keeping a human in the loop. It does not use AI to generate SQL for non-technical users, relying instead on defined data model files for accuracy.

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