Discover, understand, and manage your data like never before

Enterprise-Wide Data Catalog and Data Lineage empower data-driven enterprises to quickly discover, understand, and manage all their data assets and keep them up-to-date.

Discover, understand, and manage your data

Work efficiently and effectively

Work efficiently and effectively

Hear how Lyftrondata helped accelerate the
data journey of MOL Group

10X
Faster
data loading
100%
Hours
saving
10X
Increased
productivity
$110K
Cost
reduction

Lyftrondata enables instant analytics on WNI weather data that helped us
streamline shipping lines

Koichi Tsuji

Director at Consulting Partner at MOL Group

Organizing data has never
been simpler

Data governance framework

Data governance framework with Lyftrondata

Search and discover

Search and discover

Centralized data discovery

Centralized data discovery

Tagging and categorization

Tagging and categorization

Relationship identification

Relationship identification

Become a dossier maestro

FAQs

A data catalog is a comprehensive inventory of data assets within an organization, providing a single reference point for locating, understanding, and managing data. It is essential for enhancing data accessibility, governance, and analytics by organizing data assets and making them easily discoverable.

Lyftrondata's data catalog simplifies data discovery by providing a robust visual interface to search, understand, and manage all data assets. It includes features like metadata management, tagging, and categorization, which help in organizing data efficiently and improving data governance.

Lyftrondata provides comprehensive metadata management tools that allow users to catalog and manage metadata for all data assets. This includes capabilities for data lineage, data classification, and automated metadata generation, ensuring that data is accurately described and easily accessible.

Lyftrondata's data catalog supports data governance by enforcing data quality standards, securing data assets, and ensuring compliance with regulatory requirements. The platform offers tools for data classification, tagging, and policy enforcement, which help organizations maintain data integrity and privacy.

Yes, Lyftrondata is designed to integrate seamlessly with a wide range of data management and analytics tools. This includes databases, data warehouses, BI tools, and other enterprise data platforms, facilitating a unified approach to data management.

Lyftrondata enhances data accessibility by providing a centralized data catalog that users can search and navigate easily. The platform's intuitive interface and powerful search capabilities allow users to quickly find and access the data they need, promoting data-driven decision-making.

Using Lyftrondata for data classification helps organizations maintain a clear and organized view of their data assets. It supports nested tagging, categorization by project or team, and automated classification based on predefined rules, ensuring that data is easily discoverable and manageable.

Lyftrondata supports data security through multi-level security measures, including encryption, access controls, and compliance with data privacy regulations. The platform ensures that data is protected from unauthorized access and misuse, providing peace of mind for data administrators.

Lyftrondata can catalog a wide variety of data types, including structured and unstructured data from databases, data lakes, cloud storage, and other data sources. This flexibility allows organizations to maintain a comprehensive inventory of all their data assets.

Lyftrondata facilitates regulatory compliance by providing tools for data governance, quality assurance, and metadata management. The platform helps organizations adhere to data privacy regulations by ensuring that data is properly classified, tagged, and secured according to compliance standards.

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