Each area reports differently
The same metric has three values and no definition.
Line 04
Scattered data converted into explainable decisions.
We connect sources, organize the data and build dashboards and models with visible assumptions.
Context
What we solve.
A dashboard does not fix a bad fact. Before visualizing, we define what is measured, where it comes from and who is responsible for its quality.
The report arrives late
It is assembled by hand and arrives when the decision has already been made.
There is data, but no decisions
Pretty dashboards that no one uses to change anything.
Solutions
What we can execute in Data & Analytics.
Each solution declares its modality. The final scope is confirmed before committing price or date.
01 · Defined scope solution
Scoreboard
A limited set of metrics with source, owner and definition.
- Definition of indicators
- Source connection
- Dashboard
- Data dictionary
02 · Custom project
Data integration and quality
Pipelines with validations and error handling.
- Ingestion
- Transformation
- Quality controls
- Monitoring
03 · Defined scope solution
Data governance
Rules, roles and responsibility for the data.
- Inventory
- Roles and policies
- Quality and lineage
- Adoption plan
04 · Staged project
Evaluated analytical model
A model with explicit performance metrics and limits.
- Data and variables
- Baseline
- Evaluation
- Limits documentation
Deliverables
What you receive.
- Data model and dictionary
- Dashboard or pipeline
- Quality controls
- Documentation and handover
Evidence. Declared scope. No real time is promised if the sources do not allow it.
Includes
- Metric definition
- Connecting agreed sources
- Validation with the business
- Training
Does not include
- BI licenses
- Sources without authorized access
- Prediction guarantee
Way of working
Four moments, with recorded decisions.
- UnderstandContext, constraints and success criteria. Without this, scope is a guess.
- DefineDeliverables, exclusions, assumptions and conditions. Here you decide whether there is a quote or a review.
- RunProposed and confirmed team, controlled access and progress by deliverables.
- Deliver and measureAcceptance, transfer and, if applicable, operation with indicators.
Tools
What we do it with.
Technologies and platforms that we implement. The level of integration is confirmed per project.
Flexiu AI
How it integrates with this line.
Data query authorized and explains results. The analyst validates the model and assumptions.
Get to know Flexiu AIContext
Work with the project, documents and permissions of the case.
Agents
They prepare analyses, drafts and repeatable tasks.
Control
Human review, traceability and permissions by role.
Frequently asked questions
What they usually ask before hiring.
If a question is missing, write it in the request. We added it with your response.
Can you connect any source?
Depends on access, API or pull. We validate it before committing scope.
Do you do artificial intelligence?
Yes, when the case justifies it. A dashboard, a predictive model, and an agent querying data are different things.
Is the dashboard real time?
Only if the source and architecture allow it. If not, we define the real frequency and say so.
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