Octopai Metadata Lineage

Enabling visibility and control of metadata that is scattered across the BI landscape.

Product Brief

Enables visibility of metadata scattered across the enterprise data landscape. Allows for self-service exploration of metadata gathered automatically from a wide variety of sources, including ETL, databases, and reporting tools. Metadata is stored and managed in a central cloud-based repository. With smart algorithms, modeling, and indexing of all metadata types, you can quickly locate and understand cross connections within a short period of time. Creating full lineage of the data journey as it flows through multi-vendor systems.

Solution Overview

Octopai Metadata Lineage is a SaaS product, cross-platform, and can be used within minutes. Data scientists spend sixty percent (60%) of their time on cleaning and organizing data and nineteen percent (19%) on collecting data sets, meaning they spend about eighty percent (80%) of their time preparing and cleaning their data for analysis.

Visibility and control of metadata that is scattered across the enterprise data landscape is key to success. That requires tools and management processes that reduce weeks of manual processes to minutes and enable the business to move faster, allowing self-service capabilities for exploration.

The process allows you to share and reuse the data and knowledge about the data. Metadata scanning can automatically gather from a wide variety of sources, including ETL, databases and reporting tools.

Metadata should be stored and managed in a central repository to enable share and reuse data sets, data definitions, metadata, and master data.

Metadata understanding, with smart algorithms, should model and index all types to enable the user to quickly locate and understand cross connections across connections.

A central tool, namely a smart search engine using hundreds of crawlers to enable searches of all metadata to present results in seconds, should be in place. Finally, a visual mapping tool is needed to create full lineage of the data journey as it flows through multi- vendor systems to assist in the data context to continually improve the management process.

Key Benefits

Enables visibility of metadata scattered across the enterprise data landscape. Allows for self-service metadata exploration:

  • Metadata is automatically gathered from a wide variety of sources, including ETL, databases and reporting tools
  • Metadata is stored and managed in a central repository
  • With smart algorithms, modeling and indexing of all metadata types you can quickly locate and understand cross connections
  • A smart engine using hundreds of crawlers searches all metadata and presents results within seconds
  • Creating full lineage of the data journey as it flows through multi-vendor systems.

Multimedia


Data Management Engagements

Domain Education

Sandhill provides a Quick Start learning program that enables users to quickly maximize their investment in Octopai. The following areas will be addressed:

  • Objectives
  • Tool Configuration
  • Initial Data Loads
  • User tool training
  • Knowledge/Experience transfer
  • Publications/Reporting

Data Management Maturity Assessments

Sandhill’s approach to helping clients achieve desired levels of Data Management Maturity incorporates all of the data management practice areas. The following Sandhill DMM resources are particularly relevant:

Consulting

Our clients often request additional resources to implement critical program elements. Sandhill offers expert resourcing and custom services tailored to your needs in the following areas:

Sandhill Frameworks

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