THE INFRASTRUCTURE BEHIND ENTERPRISE AI
Turning legacy enterprise datainto reliable, AI-ready intelligence.
One Data is a modular data management platform that adds structure, business context,and governance — making data reliable for reporting, analytics, and AI.
80%
less migration
and cloud costs
60%
less time building data products
50%
Reduction in manual data engineering
70%
faster data
discovery
Three Core Challenges. One Platform.
Most data quality issues trace back to the same root causes.
One Data addresses them directly.
Trust:End Hallucinations.Gain Reliable Insights.
Alignment:Stop Re-Working.Start Delivering.
AI-Automation:Define Once.Execute Anywhere.
TRUSTEnd Hallucinations. Gain Reliable Insights.
Challenge:
Metrics differ by team. Often, it's unclear where data comes from or whether it has changed since it was last used.
How One Data solves it:
Extracts, enriches, and governs metadata across your data landscape. Enforces formal agreements on every published data product.
Metadata Management
Connect source systems. Auto-extract technical metadata — tables, fields, types, relationships. Stewards enrich with business definitions and ownership.
Data Map
Visualize the entire data landscape — sources, transformations, data products. Drill down, trace lineage, run impact analysis. Auto-updates.
Data Contracts
Define schema, quality thresholds, SLAs, ownership per product. ODCS-standard. Continuous monitoring with violation alerts.
Data Product Lifecycle
Defined stages: Draft → Development → Review → Published → Retired. Automated quality gates at every stage transition.
ALIGNMENTStop Reworking. Start Delivering.
Challenge:
Business and data teams communicate through ambiguous requests and informal clarification loops. Requirements drift during development.
How One Data solves it:
Formalizes the handoff between business intent and technical delivery. Business users define requirements in structured terms, captured as persistent documentation.
Use Case Portfolio Management
Connect use cases to business goals, evaluate them, and prioritize effectively. Shared framework linking strategy to execution.
Use Case Builder
Central alignment hub. Business users define requirements in simple data structures. Supports new use cases and SAP BW optimization.
Data Product Marketplace
Searchable self-service directory. Metadata, contract status, quality indicators, lineage summaries, ownership. Direct connection to BI tools, data platforms, or AI agents.
AI-AUTOMATIONDefine Once. Execute Anywhere.
Challenge:
Data products are repeatedly built from scratch. Transformation logic is duplicated across teams, leading to inconsistency and high maintenance costs.
How One Data solves it:
Turns structured requirements into executable specifications, including SAP BW logic translation to SQL. Creates reusable, deployable units on external platforms.
Code Automation Engine
Generates transformation logic, pipeline scaffolding, and schema definitions from captured requirements. Ready-to-review code aligned with real source structures.
Automation Packages
Technology-specific integration services deployed in your infrastructure. Native protocol. Fully reproducible executions. Changes only when the specifications changes.
From Raw DataTo Trusted Data Products.
One Data sits between your existing source systems and your consumers — enriching, governing, and delivering trusted data products. No rip-and-replace.
Every role.One platform.
Strictly scannable — no paragraph text per persona. One role, one sentence of value.
DE
Data Engineers
Generate, standardize, and deploy pipelines — time on logic, not boilerplate.
DS
Data Stewards
Enrich metadata, define contracts, manage lifecycle across domains.
BA
Business Analyst
Submit use case requests, track delivery, access marketplace products.
AI
AI & Analytics
Contract-backed, lineage-tracked data products with metadata context.
CD
CDOs & Leadership
Portfolio throughput, contract compliance, quality health, SLA adherence.
Frequently AskedQuestions
One Data is a software platform that transforms fragmented legacy data into quality-assured, context-rich, and actionable data products that fuel correct KPIs, reliable reports, and trustworthy AI agents. Through full metadata transparency, seamless alignment between data and business users, and powerful AI-automation, One Data lays the foundation for data-driven business success.
Teams are able to deliver their first governed data products within minutes. The platform connects to your existing infrastructure without a migration, and AI-powered automation handles the heavy lifting of metadata extraction, code generation, and quality rule setup from day one.
Poor data quality is the primary reason AI projects fail after proof of concept. One Data packages data into governed data products with automated quality checks, semantic definitions, and end-to-end lineage. This gives AI models and agents a consistent, auditable source of training and grounding data, reducing hallucinations, and improving output reliability. Organizations using One Data report up to 60% faster time-to-market for AI and analytics initiatives.
Yes. One Data is ISO 27001 certified, TiSAX-assessed, and fully GDPR compliant. It supports flexible deployment options including customer cloud, One Data cloud, and on premises. European data residency is available, which is relevant for organizations under data sovereignty requirements.
Data engineers and architects use it to automate pipeline delivery and enforce data contracts at scale. Business teams and domain owners use it to define data requirements in plain language and access trusted data products without IT queues. The platform bridges both sides, which is where most data governance initiatives break down.