Datalogz

Provides a centralized platform for managing the entire BI environment.

Helps optimize the performance of BI tools and data.

Identifies and reduces wasted costs associated with BI tools, licenses, infrastructure, and unnecessary refreshes.

Aims to re-instill trust in data by cleaning up messy data environments and preventing inconsistency.

Mitigates security risks and addresses poor governance that can lead to regulatory and compliance issues.

Specifically designed to combat the unmonitored growth and decentralization of BI tools and reports within an enterprise.

Provides guardrails to allow users to create and consume reports without creating chaos.

Automatically extracts and unifies metadata from various BI tools.

Easily integrates with almost any business intelligence tool (e.g., Power BI, Tableau, Qlik, Snowflake).

Consolidates reporting inventory, datasets, users, usage statistics, calculated columns and measures, and most used queries.

Tracks BI issues in real-time, flags best practice violations, wasted spend, and security risks, sending actionable alerts.

Monitors user access, data exposure, and compliance risks across BI platforms.

Identifies duplicate datasets, optimizes compute resources, and improves capacity utilization.

Detects unused assets, inefficient queries, and permission risks with automated alerting and recommendations.

Creates a master list of all BI artifacts for simplified governance and enhanced collaboration.

Manages the lifecycle of BI assets.

Helps optimize BI tool license usage.

Manages computing resources effectively.

Supports formal processes for publishing and certifying BI content.

Manages changes across different BI environments.

Synchronizes metadata across various tools.

Provides a unified view of activity across multiple BI tools.

Offers granular insights into how BI assets are being used.

Identifies anomalies in viewing patterns and potential "bad actors."

Changes the BI Admin role from reactive to proactive with real-time system recommendations.

Can be deployed on a user's VPC or as a Managed Service, supporting various cloud environments (AWS, GCP, Azure).

Operates as a read-only metadata application, ensuring data security and not accessing underlying business data.

Connects to BI tools via their respective APIs (e.g., Power BI Rest APIs, Tableau Rest APIs, Qlik Developer API, Spotfire APIs).

Allows fine-grained permissions for users to access specific metadata from certain groups.

Uses Apache Airflow for managing pre-built metadata pipelines that can be scheduled daily, weekly, or hourly.

Provides visibility into data lineage within the BI environment (implied by metadata capabilities).