Information is spread across different systems
The team uses spreadsheets, ecommerce tools, CRMs or admin platforms. No one has one reliable view.
ENTERPRISE DATA INTEGRATION
Connect your systems into reliable operating data.
Microcorem connects information you already hold across spreadsheets, platforms and operational systems, then establishes the dependable data movement needed for reporting, automation and AI-ready workflows.
You can start with a focused discovery or prototype. You do not need to commit to a large transformation programme before the first useful system is proven.
Practical data system
Spreadsheets
Platforms
Operations
One organised operating view
DashboardWorkflowAssistant
Problems we help fix
When the business cannot see clearly, decisions slow down.
The work usually starts with ordinary operational problems, not abstract data strategy.
Reporting takes too much manual work
People spend time copying, checking and reformatting data before they can make a decision.
Teams cannot see what needs attention
Stock, enquiries, tasks, risks or customer issues are visible too late, or only to one person.
AI ideas exist, but the data is not ready
A useful assistant needs organised information, clear permissions and human review points first.
What we actually do
Build the operating layer around your data.
The service is practical engineering work. We connect, organise, build and hand over something your team can use.
- Bring data from existing systems into one usable view.
- Build dashboards around the decisions your team actually makes.
- Automate repetitive reporting and operational workflows.
- Prepare reliable data for practical AI features.
- Add governed AI assistants where they solve a real problem.
How we work
A focused route from problem to working system.
This is designed to feel achievable for a smaller business. The first engagement can be a discovery, prototype or focused build.
- 01
Understand the decision or workflow
We start with the practical question your team needs to answer, or the task that keeps slowing people down.
- 02
Connect and organise the required data
We identify the useful sources, clean up what matters and agree how the data should be handled.
- 03
Build and test a focused working solution
We create a dashboard, workflow or prototype that can be tried with real users and real operating conditions.
- 04
Launch, measure and improve it
We document the system, support handover and agree the sensible next stage rather than forcing a large programme.
Project-specific team
The team behind this engagement
Enterprise Data Integration brings architecture, integration, data, cloud and quality capability together around the systems that need to connect.
Typical team
- Solution Architect
- Integration Engineer
- Data Engineer
- Cloud Engineer
- QA Engineer
The exact team is shaped around the engagement.
What the customer receives
Clear outputs, not a vague strategy pack.
The exact deliverables depend on scope, but a focused engagement will usually include a practical mix of these.
- A clear map of the relevant data and systems.
- A working dashboard, workflow or AI-assisted tool.
- Documented integrations and ownership.
- Security and governance decisions recorded.
- A practical roadmap for the next stage.
Good fit
This service is useful when...
- You rely on spreadsheets and disconnected systems.
- Reporting consumes staff time.
- You need a practical first AI use case.
- You want a working system rather than a strategy document.
Probably not yet
It may be too early when...
- There is no agreed business problem.
- You only want an experimental AI demonstration.
- No one can own the resulting process internally.
Next step
Start with one decision, workflow or data problem.
Tell us where reporting, visibility or manual work is slowing the business down. We can help shape a focused first step.