Discovery
Understand the people, the problem and the intended outcome. Surface the questions still open.
Back to servicesAURENIQ / DATA
Data integrations.
When data comes from several applications, differences need understanding before consolidation. We define mappings, refresh rules and checks for the data flow.
Let’s discuss your ideaUNDERSTAND THE SOLUTION
Data integrations, beyond the label.
What it is and what it means
Data integration brings information from different systems into a common model with identification, transformation and refresh rules.
What it can bring to the business
It can provide a shared view without manually copying every file. Correctly linking records matters more than merely combining them.
How it is managed in practice
Management maintains mappings, rules and quality checks. Incomplete sources, duplicates and refresh differences receive explicit handling with purpose-limited access.
DOES THIS SOUND FAMILIAR?
Which source takes precedence when two systems describe the same thing differently?
We begin with the decision, the definition of each indicator and the available data. We connect relevant sources and make calculation rules, refresh schedules and data limitations visible. People reading the report can understand what they see and what needs investigation.
01
Manually compiled reports
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Different definitions for the same metrics
03
Data fragmented across sources
DATA INTEGRATIONS
What takes shape in the project
We agree what belongs in the project, what implementation involves and what is better left for a later stage.
- Metric and source definitions
- Data model and integration pipelines
- Dashboards and reports
- Quality checks and documentation
Tools chosen for the context
HOW WE WORK
Know where we are. Know what comes next.
Strategy
Choose the first useful version, dependencies and the milestones for evaluating progress.
Design
Put workflows in front of you before they become features that are expensive to change.
Development
Build in stages you can see, test and discuss.
Testing
Check usage scenarios, accessibility and the application’s sensitive points.
Launch
Prepare the environment, content, access and agreed administration steps.
Support
Prioritise improvements and agree the support that fits the product.
AURENIQ / GUIDES
Before the first discussion.
FAQ
The things worth clarifying from the start.
How does a management dashboard project start?
We identify the decisions it needs to support and define each metric, source and update frequency. Results are checked against source data before operational use.
Can data from several applications be combined?
We assess formats, APIs, shared identifiers and access rights. Explicit rules handle duplicates, missing values and differences in update frequency.
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