Data management
Data management is the process of collecting, cleansing and storing an organisation's data, controlling who can access it and keeping it ready for analysis. ORELSIS runs this process with OREL DM, which combines data integration and AI orchestration on one platform. The result is a single trusted data source for reporting and AI.
ERP, production, quality and field systems hold the same data in different formats. Teams move data between spreadsheets by hand to build reports. It is unclear who has access to which data and how current it is.
Turn scattered data into one trusted, governed source
Data integration
Collects data from ERP, MES, databases, files and industrial protocols and unifies it in one model.
Data quality
Uses rules to detect missing, duplicate and inconsistent records and notifies the person responsible.
Access and security
Protects sensitive data with role-based permissions and access logs.
Data lineage
Shows end to end which source and which transformation produced a given report.
AI orchestration
Manages model training, execution and versions together with your data pipelines.
Self-service analytics
Lets business units build their own reports on curated data sets.
How we deliver it
- 01
Map the sources
We map every data source, its owners and data flows, and identify your critical data assets.
- 02
Integrate
We bring ERP, databases, PLCs and cloud sources together in a single data layer using OREL DM connectors.
- 03
Set up governance
We define data quality rules, role-based access and data lineage so that every change is traceable.
- 04
Turn it into value
We connect the prepared data to dashboards, reports and AI models, and continuously monitor usage and quality.
Products behind this solution
Frequently asked questions
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