At Octopai, we understand the vast, intricate web of data that businesses deal with daily. But here's the thing – navigating it shouldn't be a maze. Introducing our AI-powered metadata management platform, crafted meticulously to let you see, understand, and most importantly, trust every step your data takes.

Fast and Simple – setting up Octopai is not a project and doesn't require professional services. It takes up to one hour of your time and within days, Octopai can be fully up and running.

Traditional methods of data management are rife with inefficiencies, consuming valuable time and resources in tasks such as debugging, data analysis, data discovery, and testing. Octopai has the potential to revolutionize these processes, saving significant Full-Time Equivalent hours, thereby reducing the burden on data and systems teams. These time savings are particularly impactful in areas like ad-hoc analysis, impact analysis, training, vendor data management, and production troubleshooting.

In line with strategic initiatives like Self-Service, Preserving Tribal Knowledge, Data Literacy and Democratization, Cloud Transformations, Migrations, and Data Landscape Technical Debt Reduction plans, Octopai offers more than immediate efficiency gains. Its deep, real-time insights into data flows can significantly accelerate and de-risk these strategic projects, making it a long-term investment in operational efficiency and risk management.

With a quick, secure and simple process, Octopai will instantly be able to analyse the metadata: Octopai incorporates state-of-the-art >50 native supported technologies and provides a multi-tiered, automatic data lineage. It simplifies the complex task of tracking data changes and flow across an organization.

Cross Platform – Octopai harvests metadata automatically, covering complex hybrid data ecosystem, from data pipelines, to databases, analysis, and reporting tools.

Cross-System Lineage

Upstream & Downstream Impact Analysis: Initiate with a comprehensive evaluation of both upstream data sources and downstream consumer systems. Understand the ripple effects of changes in data structures, schemas, or values across the entire data flow.
Technology Flow Mapping: Recognize and document every technology component within the data flow, from ETL tools, middleware, data lakes, ML applications and models, to BI platforms. This ensures a clear understanding of how data modifications in one system propagate and potentially impact other interconnected systems.

Inner System Lineage

Entity-Relationship Exploration: Delve deep into individual systems, dissecting the relational models, table structures, stored procedures, and scripts that govern data behavior and storage.
Data Transformation Lifecycle: Examine the transformation logic, data cleansing routines, and business rules applied at granular levels, providing insights into data quality, lineage, and provenance.

End-to-End Asset Lineage

Data Provenance Tracking: Trace the lifecycle of specific data entities, from source extraction, through transformation logic, to final presentation layers, capturing every transformation touchpoint.
Holistic Data Lineage Visualization: This representation offers a detailed map of a data element's journey, highlighting dependencies, transformations, and potential bottlenecks, crucial for optimization, root cause analysis, and ensuring regulatory compliance.

Automated Data Discovery: simplifies the process of pinpointing specific data, allowing for instant search across multiple systems. This will drastically reduce the time a team spends on researching data requests, including assessing effort estimations and resource utilization for a project.

Automated Technical Documentation: serves as a centralized data asset management solution, providing a reliable source of truth for data users and facilitating accurate and rapid business decision-making. With this, you can efficiently manage your data assets, granting their teams the freedom to explore and leverage data effectively.

Octopai aligns with strategic initiatives like Self-Service, Preserving Tribal Knowledge, Data Literacy and Democratization, Cloud Transformations, Migrations, Data Landscape Technical Debt Reductions plans, Decommission of Legacy systems, Sunsetting processes and Change Management.

Octopai Data Lineage, AI-powered Metadata Management PlatformOctopai

Octopai Data Lineage, AI-powered Metadata Management Platform

Octopai

Octopai Data Lineage, AI-powered Metadata Management Platform

Octopai

Octopai Data Lineage, AI-powered Metadata Management Platform
Octopai