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OneDGP

Data Governance Platform

Standards, quality, metadata, models, tags and security for trusted data

产品介绍

Data Governance Platform

OneDGP is a high-performance, easy-to-control data governance platform. It matches and periodically ingests various asset data sources, builds asset catalogs, data rules and verification,

and supports trigger-, timestamp-, rule-, and requirement/issue-monitoring-based ingestion to organically integrate data assets.

It provides six governance capabilities: data standards, data quality, metadata, data models, data tags and data security. It defines unified standards, assesses quality on completeness, accuracy, consistency and timeliness with timely monitoring,

uses metadata to help managers, developers and users locate data, models to express relationships across business entities and build a unified view, tags to help users explore and understand data, and strict authorization and approval to protect data.

With its strong ingestion and quality-control capabilities, enterprises can standardize development, automate code, keep quality controllable, unify scheduling and make monitoring visual.

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OneDGP
Product

Where do enterprises get stuck with data?

Siloed data, inconsistent standards and manual spreadsheets can no longer meet compliance and operational pressure.

01

No unified standards | Data producers and users disagree, with low reuse and poor alignment.

02

Quality hard to assess | Completeness, accuracy, consistency and timeliness are not measurable and issues surface late.

03

Data hard to find | Without metadata and tags, locating, exploring and understanding data is costly.

04

Fragmented models | Business relationships are unclear and there is no unified enterprise data view.

05

Non-standard, insecure | Development and scheduling are fragmented, quality uncontrolled, and permissions weak.

CORE FEATURES

Unified governance across standards, quality, metadata, models, tags and security

From data acquisition, accounting and disclosure to abatement decisions — the full carbon management chain.

Data standards

define unified standards and plans, align production with use, and improve reuse.

Data quality

assess completeness, accuracy, consistency and timeliness with timely monitoring.

Metadata

data about data helps managers, developers and users locate data easily.

Data models

express relationships across business entities to build a unified enterprise view.

Data tags

tagging lets users explore and understand data more effectively.

Data security

strict authorization and approval keep data stored and used compliantly.

BUSINESS VALUE

Beyond compliance

See how it works in your scenario

Book a 30-minute demo. Our experts tailor a practical plan to your industry and current state.

400-699-8865

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