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DD

Deontic Data

The startup operates a data management platform that standardizes data usage protocols among originators, providers, and consumers, facilitating compliance and decision-making processes. By automating the data supply chain, the platform helps businesses minimize compliance costs and enhance operational efficiency.

London, United KingdomFounded 20206100+ followers
Updated 3 months ago

Funding

$970K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many organizations struggle with inconsistent data usage protocols across different departments and external partners, leading to compliance issues and inefficient decision-making. The lack of a standardized data supply chain results in increased operational costs and potential regulatory violations.

Solution

This startup offers a data management platform designed to standardize data usage protocols for data originators, providers, and consumers. The platform automates the data supply chain, ensuring consistent data handling and facilitating compliance with relevant regulations. By streamlining data workflows and providing a unified view of data assets, the platform enables businesses to minimize compliance costs, improve data quality, and enhance operational efficiency. The platform's automation capabilities reduce manual intervention, freeing up resources and accelerating decision-making processes.

Target Audience

The primary target audience includes organizations in regulated industries, such as finance, healthcare, and insurance, that require robust data governance and compliance solutions.

Features

  • Automated data lineage tracking to ensure data provenance and accountability.
  • Customizable data usage policies and access controls to enforce compliance requirements.
  • Real-time data quality monitoring and validation to identify and resolve data errors.
  • Data cataloging and metadata management to improve data discoverability and understanding.
  • Integration with existing data sources and systems to facilitate seamless data exchange.
  • Audit trails and reporting capabilities to demonstrate compliance and track data usage.
This profile is AI-generated and may contain inaccuracies.