Data quality you can trust
Continuous validation, harmonisation and enrichment turn raw data into a reliable foundation. Including for AI.
iDMP: Intelligent Data Management Platform
Your data.Ready to work.
With the iDMP, your team connects existing systems and maintains data quality. Put reliable data to work across operations, analytics and AI.
Your systems
- SAP & ERP
- CRM & PIM
- Files & APIs
Put your data to work
- Apps & portals
- Analytics & BI
- AI & automation
Validate & connect data
Companies working with the iDMP
- Hoberg & Driesch
- Landgard
- FES
Your Data Core
Connect. Keep your systems.
The iDMP is the shared data foundation between your systems and the people who use them. It continuously connects, cleans and links data while your applications stay in place.
Standard software by geqoio. Configured and connected by your team.
Explore the iDMP
One source of truth
One authoritative record for products and business partners. Maintained together, consistent everywhere, with traceable provenance.
Open to your systems
Connect ERP, PIM, CRM and other sources through open APIs. Keep using the IT you already have.
Real-time data
Event-driven integrations process data changes as they arrive and make them available to applications, analytics and business teams. Data freshness depends on the source and integration.
A shared meaning for your data
Prebuilt models for products, items and business partners. Enrichment and classification with established standards in mind.
- GS1
- ETIM
- ECLASS
- IDM
Which data challenge would you like to solve?
Choose your topics. Explore relevant use cases and bring your selection to our conversation.
Connect your suppliers
In practice · Building materials & DIY
From supplier catalogue to verified product.
01Your data sources
- Catalogue files
Excel, CSV, XML, BMEcat
- Supplier portal
Maintain data directly
02iDMP · Data Core
- Receive data
Map different source formats
- Check completeness
Quality gates identify gaps
- Release data
Make verified products available
03Your applications
- Product master
Consistent product records
- Trade & sales
Use approved data
Something missing? Feedback goes to the supplier or the person responsible.
Less chasing. Reliable product data from the moment it arrives.
Every supplier delivers differently: one a spreadsheet by mail, the next a file on a server, the third nothing at all until somebody asks.
The iDMP receives supplier data, validates it and flags missing information before the data is used elsewhere.
- File intake
Import supplier files by upload or through your existing integration, then validate them against defined rules.
- Supplier portal
Suppliers enter their data directly in a portal and see which required fields are missing.
Manage master data
In practice · Product data in retail
Many sources. One authoritative record.
01Your data sources
- ERP & PIM
Products and business partners
- Catalogues & spreadsheets
Attributes and descriptions
02iDMP · Data Core
- Bring data together
Prebuilt semantic models
- Validate & harmonise
Resolve duplicates and conflicts
- Create a golden record
Values with traceable origins
03Your applications
- Operational applications
The same verified master data
- Analytics & AI
Reuse curated data
One source of truth for every system that works with your data.
The same product exists three times, the same customer four, and every department holds its own version to be the right one.
The iDMP brings them together and makes it traceable where each value came from.
- Products and items
One product, one description, one set of attributes, across every system.
- Business partners
Customers and suppliers held once, rather than created again in every system.
- The record that counts
Conflicting entries become one authoritative record based on your rules: the golden record.
Run every sales channel
In practice · Grocery & fashion retail
One data foundation. Ready for every channel.
01Your data sources
- ERP & inventory systems
Products, prices and stock
- Product information
Attributes, images and documents
02iDMP · Data Core
- Consolidate data
Master data and availability
- Apply channel rules
Assortments, prices and attributes
- Distribute changes
Deliver each channel’s required format
03Your applications
- Shops & marketplaces
Channel-specific product data
- Stores & sales
Current stock and prices
New sales channels use a shared data foundation. Your inventory system stays connected.
Shop, marketplace, catalogue and field sales all want the same products, each in its own format and by its own rules.
Maintained once, delivered per channel.
- Articles and prices
One place to maintain, many outputs. What a channel may not carry, it never sees.
- Stock
Availability from the warehouse and from logistics, brought together rather than estimated.
- Delivery per channel
Every channel gets what it understands, at the pace it can take.
Decouple your SAP data
In practice · B2B steel wholesale
Enable self-service. Take load off the ERP.
01Your data sources
- SAP ERP
Materials, prices and orders
- Data changes
Via your connected integration
02iDMP · Data Core
- Receive changes
Keep SAP data up to date
- Serve from the Data Core
A separate operational data foundation
- Control access
Share data through REST APIs
03Your applications
- B2B customer portal
Stock, prices and order history
- Sales analytics
Current figures for the sales team
The portal and analytics access the iDMP. Your ERP stays focused on its core processes.
Heavy reporting workloads can slow the ERP processes your business depends on.
The iDMP makes connected SAP data available on a separate data foundation. Reporting and new applications use it with clearly defined access rights.
- Separate reporting from the ERP
Analytics and applications reach the platform, not the ERP.
- Changes arrive
Connected integrations keep SAP data up to date in the iDMP. The update frequency depends on the source and integration.
Bring ESG and compliance data together
Application example · Digital Product Passport
Turn scattered data into product evidence.
01Your data sources
- ERP & PLM
Product and material data
- Supplier evidence
Origins, CO₂ and documents
02iDMP · Data Core
- Link data to the product
One record per product or batch
- Check data quality
Required information and evidence
- Trace data origins
Document changes and sources
03Your applications
- Product passports & reports
Provide data for your evidence
- Partners & applications
Controlled access through APIs
Missing information is visible and can be completed by the people responsible.
Build a growing foundation for your evidence – traceable and reusable.
The data needed for reports and regulatory evidence is often scattered across systems, files and formats.
The iDMP brings relevant data together and makes its origin traceable, creating a reusable foundation for reporting and regulatory disclosures.
- Transport carbon footprint
- Deforestation-free supply chains (EUDR)
- Carbon border adjustment (CBAM)
- Digital product passport
- EU Packaging and Packaging Waste Regulation (PPWR)
- Electronic invoicing
Make the numbers trustworthy
In practice · Energy data in retail
Understand energy use at every location.
01Your data sources
- Energy suppliers
Consumption and meter readings
- Location master data
Stores, meters and assignments
02iDMP · Data Core
- Connect the data
Link consumption to locations
- Detect gaps & anomalies
Continuously check data quality
- Prepare for analysis
A shared model for your metrics
03Your applications
- Power BI & iDMP Reports
Analysis by store
- Energy management
Data foundation for ISO 50001
Compare consumption and identify anomalies on a shared, verified data foundation.
Two reports, two figures, and the meeting is spent deciding which one is right.
Shared data models and defined metrics give your reports a consistent, traceable foundation.
- Keep your own tool
Connect Power BI, Tableau or other analytics tools through the appropriate interfaces.
- Keep metrics up to date
Data changes flow into your analysis through the connected integration.
Your selection
Explore the iDMPExplore all topics or talk to us directly.
Inside the iDMP
Your data. Your workflows. Your workspace.
In Automation Studio, your team connects data, rules and actions. Turn a data change into a workflow you can follow from start to finish.
Automation Studio
A data event triggers the next steps. In the visual studio, connect a product update to a notification, for example.
AI & human approval
AI creates copy from product data. Your team reviews the result before it is written back to the product record.
Executions & logs
Status, individual steps and logs show what happened. Follow a workflow through to its result.
Original iDMP screenshots · German interface
Platform
Many sources. One Data Core.
Connect, refine and deliver: the iDMP brings these three stages together on one platform. Every stage uses the same shared data foundation.
Data in
- SAP & ERP
- CRM & PIM
- Files & databases
iDMP
Knowledge out
- Applications & portals
- Analytics & reporting
- AI & automation
Integration
The iDMP connects existing systems and brings in relevant data together with ongoing changes.
- HTTP webhooks, file imports and change data capture (CDC) for MongoDB entities
- Connector pipelines to filter, transform and enrich data
- Existing integration routes and iPaaS stay where they are
Intelligence
Raw data becomes something you can work with: named, validated, related.
- Predefined semantic models for products, items and business partners
- Quality rules, enrichment and AI-assisted harmonisation
- Configurable change history with versions and field-level changes
Delivery
The data goes where the work happens, without anyone exporting it again.
- Reporting and analytics straight on the data model, with your own tool
- Operational applications and portals, including AI-assisted creation
- Open API and SDK for everything you build yourself
What’s under the hood?From MongoDB to MCP: data storage, processing and open interfaces.
The iDMP combines data models, event processing and delivery in one standard software product. MongoDB, open APIs and a visual Automation Studio are central building blocks. Your team configures data sources, rules and access independently.
iDMP building blocks
MongoDB
PostgreSQL
React
Docker
- MongoDB & data models
MongoDB · PostgreSQL · JSON Schema
MongoDB stores document-based data; PostgreSQL supports relational data models. Business data types are described as entities with JSON Schema, keys and relationships. On activation, the iDMP creates collections or tables with validation and indexes. MongoDB time series collections support measurements and sensor data.
- Integration & data changes
HTTP webhooks · File imports · MongoDB Change Streams
External systems deliver data through HTTP webhooks, REST APIs or file imports, for example in CSV, Excel or JSON format. The iDMP uses Change Streams to track changes to MongoDB entities; this requires a replica set. Connector pipelines can filter, transform and enrich data along the way.
- Data quality & workflows
Automation Studio · Quality gates · Redis / BullMQ
The visual Automation Studio connects processing steps, conditions and human approvals where needed. Schema validation and configured quality rules check your data. Webhooks, schedules or data changes trigger workflows. Redis and BullMQ handle queues and asynchronous event processing.
- APIs & queries
REST / JSON · Query DSL · SDK
REST APIs expose entities, files, saved queries and automations. Service accounts with API keys control access. A shared JSON query language provides filtering, sorting and pagination across supported databases. MongoDB aggregations and SQL support specialised queries; SDKs support custom applications and portals.
- Analytics & AI access
iDMP Analytics · pgvector · MCP
iDMP Analytics supports column-oriented analytics. PostgreSQL with the pgvector extension installed enables vector search. The Model Context Protocol (MCP) makes selected entities available to AI applications. You decide which operations are permitted and which fields remain visible for each entity.
- Permissions & traceability
Role-based access · OIDC / SSO · MFA · Data history
Roles control data access; field transformations provide masking and role-dependent visibility. OIDC connects identity providers such as Microsoft Entra ID or Keycloak, while MFA adds another authentication factor. Enable change history per entity to track versions, snapshots and deltas, with configurable retention.
- Software stack & operations
TypeScript · Next.js / React · NestJS / Fastify · Docker
The web interface uses Next.js and React; the backend uses NestJS with Fastify. Docker Compose brings the services together in your cloud or data centre. MongoDB and Redis can be connected as separate services. Health checks, Prometheus metrics and optional OpenTelemetry tracing support operations.
Let’s discuss how the iDMP fits into your system landscape.
Discuss technical questionsYour systems. Your control.
Run the iDMP in your cloud or your own data centre. geqoio develops the software and supports your operations. A Try-and-Buy environment is available to explore the platform.
Connect it yourself. Step by step.
Your team can connect and configure the iDMP independently. Connectors, open APIs and prebuilt data models help you get started. Begin with one use case and expand as needed.
- 01
Connect data sources
Connect your systems through connectors and APIs. You decide which data comes together in the iDMP.
- 02
Use prebuilt data models
Start with prebuilt models for products and business partners. Configure quality rules to suit your data.
- 03
Put data to work
Make verified data available for applications, analytics and AI. Through open interfaces and on one shared data foundation.
Support when you need it.
Need specialist expertise or extra capacity? Our partners can help when you choose, from individual integrations to implementation support.
CAS AG
Data management & consulting
Data management, data quality and AI with retail and SAP expertise. CAS AG offers consulting and implementation support when your team needs it.
c-a-s.de · CAS AG
LOGO-consult AG
CRM & logistics
CRM software for logistics. LOGO-consult complements the iDMP with applications for customer relationships and connected logistics processes.
logo-consult.com · LOGO-consult AG
ASAPIO
SAP integration
Connects SAP with cloud platforms and applications. ASAPIO makes SAP master and transactional data available to connected systems.
asapio.com · ASAPIO
RetroCode
COBOL & Java
Connects COBOL applications with the Java ecosystem. Existing business logic remains usable and can connect to modern data landscapes.
retrocode.de · RetroCode
Over ten years of iDMP. Built in Starnberg.
geqoio develops the iDMP and provides updates and product support. An independent data foundation for companies looking to get more from their existing IT.
Meet us
We announce dates on LinkedIn.
Business · Get started with the iDMP
Start small. Grow as needed.
Start with what you need today. The iDMP grows with your data and use cases.
Collections group related records. Change data capture (CDC) transfers data changes. Quality gates check data against defined rules.
from833€per month
Excl. VAT. Minimum term: 12 months.
- 5 primary and 15 auxiliary collections
- Change data capture for 2 tables
- 5 quality gates / automations
- Local MongoDB and monitoring included
Choose the scope and optional modules to suit your needs. Add integration support if you would like it.
Explore more plans
Connect more data domains and integrations: BusinessPlus and Enterprise provide additional capacity and capabilities.
BusinessPlus
For teams connecting more data domains and integrations.
1,950 €per month
Excl. VAT. Minimum term: 12 months.
- 15 primary and 45 auxiliary collections
- 15 queries per collection
- Change data capture for 5 tables
- 15 quality gates / automations
- Portal app and configurable views
- Analytics DB including MS Power BI Connect
Enterprise
For company-wide data operations with larger data volumes.
3,950 €per month
Excl. VAT. Minimum term: 12 months.
- 30 primary and 90 auxiliary collections
- 30 queries per collection
- Change data capture for 10 tables
- 30 quality gates / automations
- Portal app and configurable views
- Analytics DB including MS Power BI Connect
Both plans include local MongoDB plus system and cloud monitoring.
STACKIT and DARZ are available as optional hosting platforms.
Your questions answered
How is a Data Core different from a data lake or warehouse?
A Data Core connects data with its meaning: shared models, quality rules, provenance and access rights. The iDMP makes this curated data available for both operational applications and analysis. An existing data lake or warehouse can remain part of your connected system landscape.
Do we need to replace our existing systems?
Your systems stay in place. Your team connects them through connectors, open APIs and existing integrations. Your data becomes available across systems while you keep your familiar applications.
Can we connect and configure the iDMP ourselves?
Yes. Your team can connect data sources, use prebuilt models and configure quality rules independently. The iDMP provides connectors and open APIs for this. geqoio supports you with product questions. If you would like extra capacity or specialist expertise, you can bring in a partner.
Are we buying standard software or a custom project?
You license the iDMP as standard software with prebuilt capabilities and data models. Your team can configure and extend it independently. geqoio handles development and support. Partner consulting and implementation are optional.
How does the iDMP support analytics and AI?
Validated, harmonised and clearly described data provides the foundation for reliable analysis and AI applications. The iDMP delivers this data through open APIs and supports building applications on the same foundation.
Let’s put your data to work.
Tell us about your data challenges. We’ll show you how the iDMP can help in a live demonstration.
Prefer to write directly?hello@geqo.io
Or let’s talk.+49 8151 9988788
