DataDigital
Track business data from source to decision.
DataDigital is a proposed track business data from source to decision solution. Its scope can be shaped around your processes, users and reporting needs during discovery.
Make the process easier to see and manage.
Business data can be difficult to trust when its source, quality, ownership and transformation history are unclear.
A governed data workflow can help teams understand where information came from and how it supports a decision.
Who it is for
Data and operations teams.
Product stage
Planned. Capabilities and availability are confirmed during discovery.
Designed around the work that matters.
Data source inventory
Configure responsibilities, records and reporting to fit your operating process.
Ingestion planning
Configure responsibilities, records and reporting to fit your operating process.
Data quality checks
Configure responsibilities, records and reporting to fit your operating process.
Access controls
Configure responsibilities, records and reporting to fit your operating process.
Lineage and audit history
Configure responsibilities, records and reporting to fit your operating process.
Dashboards
Configure responsibilities, records and reporting to fit your operating process.
AI insight exploration
Configure responsibilities, records and reporting to fit your operating process.
From first record to useful insight.
This illustration shows a possible process for DataDigital. The final workflow is agreed with your team.
Built as a maintainable business system.
The proposed architecture keeps interfaces, business rules, integrations and data responsibilities clear. Technology choices depend on scope and existing systems.
Technology
A React workspace, API services and relational records could support data source inventory and ingestion planning. The stack is confirmed in discovery.
Integrations
Databases, files, APIs, BI tools and AI services can be assessed with attention to permissions, lineage and data quality.
Security and deployment
Access roles, audit needs, data retention and hosting region are specified before delivery. Cloud or private deployment can be evaluated.
Pricing that reflects your scope.
There is no fixed public price for DataDigital. Data sources, ingestion volume, governance controls, analytical use cases, hosting and support shape a proposal.
How pricing works βA clear proposal can cover
- Discovery and configuration scope
- Implementation and integration work
- Hosting and support options
- Timeline, acceptance and commercial terms
Before you request a demo
Is DataDigital available today?
The current portfolio status is planned. Contact us to confirm a demonstration, prototype or development timeline.
Can it connect to our existing systems?
Potential integrations depend on the APIs, security requirements and data ownership of those systems. We assess these during discovery.
How is pricing determined?
Pricing follows the agreed modules, users, integrations, hosting and support requirements. We provide a tailored proposal.
Request a DataDigital demo.
Tell us about your organisation and what you need to see. We will confirm what can be demonstrated for this product stage.
You may also schedule a consultation.