Discovery
Understand the people, the problem and the intended outcome. Surface the questions still open.
Back to servicesAURENIQ / DATA
Data analysis.
Analysis begins with a question that matters to the business. We explore available data, make its limitations visible and present observations that can support investigation or decisions.
Let’s discuss your ideaUNDERSTAND THE SOLUTION
Data analysis, beyond the label.
What it is and what it means
Data analysis investigates a question using appropriate sources and methods. It separates evidenced observations from assumptions and explanations needing testing.
What it can bring to the business
It can reveal patterns and better operational questions. An observed association does not automatically establish causation or a future result.
How it is managed in practice
Sources, cleaning and sample limitations are documented. Analysis should be reproducible and preserve decision-relevant uncertainty.
DOES THIS SOUND FAMILIAR?
What can the data support, and what remains a hypothesis?
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
02
Different definitions for the same metrics
03
Data fragmented across sources
DATA ANALYSIS
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.
CONTACT