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Less disconnected data.
More perspective.

Turn disconnected systems into a clear business view. Connect sources, define indicators and design dashboards for contextual decisions.

Let’s discuss your project
Conceptual image — Data, KPIs and business intelligence
DATA, KPIS AND BUSINESS INTELLIGENCE
NOT JUST TECHNOLOGY. A WAY OF WORKING.

Start the meeting with a question, not twenty spreadsheets.

We define metrics, sources and owners so leadership and operations work from the same definitions. A dashboard must explain a figure and allow its source to be checked: periods, exceptions and calculation rules are part of the design.

BLURTEK / SOLUTION STUDIOILLUSTRATIVE DEMO
EXPLORE A SCENARIO

Information in its place.

Example data
Example metrics24demo
Sources to integrate08demo
Role-based views03demo
Relative index 0–100 · illustrative series
RELATED CAPABILITY WITHIN THIS SERVICE

Sources and data quality

Source inventory, cleaning and refresh rules. Detect duplicates, missing fields and differences between systems.

Conceptual design with fictional data. Not a screenshot of a contracted platform or a representation of client results.
Conceptual application environment: Data, KPIs and business intelligence
FROM CONCEPT TO YOUR ENVIRONMENT

Designed to connect.
Built around you.

Orders and operations · Costs and capacity · Quality and exceptions

Conceptual image. Not a client installation.
HOW IT BECOMES A PROJECT

Clarity to decide.
Evidence to move forward.

Choose an initial process and an outcome you can verify. The data, kpis and business intelligence proposal connects scope, implementation and operations; it is more than a list of technologies.

Scope you can review

We document the starting point, people and systems involved in orders and operations. Requirements, exclusions and dependencies are made explicit before building.

  • Process and source map
  • Priorities and acceptance criteria

A verifiable first delivery

We validate a complete workflow in an agreed environment. We review the normal case and exceptions: insufficient permissions, missing data or integration failures.

  • Demonstration with your team
  • Recorded tests and corrections

A team that knows how to use it

Handover includes knowledge: how to operate, who can change what and who to contact. Maintenance, training and next phases are agreed so the solution does not become isolated.

  • Documentation and knowledge transfer
  • Ownership and continuity
Data, KPIs and business intelligence

Let’s look at your use case.

Tell us what happens today, what needs to improve and which tools you use. We start by understanding it.

Discuss this service
DEFINE BEFORE MEASURING

An indicator is only as good as
the question it answers.

KPI RECORD / METHODOLOGY EXAMPLE

On-time deliveries

Definition
Deliveries within the agreed commitment
Calculation
On-time deliveries / deliveries in the period
Context
Period, route and documented exceptions
Owner
Operations
01

Sources and data quality

Source inventory, cleaning and refresh rules. Detect duplicates, missing fields and differences between systems.

02

Executive indicators

Define margin, sales, time and productivity: formula, owner, frequency and context for every KPI.

03

Role-based dashboards

Views for leadership, operations and sales teams. Filters and drill-down without sharing information beyond permissions.

04

Alerts and applied AI

Rules to detect deviations and explore patterns. Forecasts are evaluated against historical data and presented with their limitations.

YOUR STARTING POINT

What decision needs better data?

Define the business question before choosing a chart or a tool.

Let’s talk
CONCRETE SCOPE / ACCEPTANCE CRITERIA

What you receive.
How we verify it.

Understandable indicators with visible formulas, sources and context for each team.

WHAT WE NEED TO UNDERSTAND

Priority decisions, available sources, current definitions and data owners.

3 DELIVERY AREAS
AreaDeliverable to agree

01Quality and model

Source catalogue, quality rules and shared model.

02Indicator dictionary

Formula, period, owner and scope for each KPI.

03Dashboards and monitoring

Role-based views, filters and drill-down.

EXAMPLE JOURNEY
  1. 01Sales, operations or finance data
  2. 02Normalisation and documented calculation
  3. 03Indicator with access to its source
FAQ

Let’s be clear.

Can data from different applications coexist?

Yes, with suitable access and interfaces. We unify definitions and references before displaying metrics to avoid comparing incompatible measures.

What do you need to prepare a proposal?

Goals, current systems, users involved and time or budget constraints. If access to sensitive information is needed, we agree conditions and permissions first.

How are price and timeline defined?

After defining scope, integrations, volume and acceptance criteria. The proposal separates implementation, licences or infrastructure and maintenance where applicable.

WE START BY LISTENING

Your next step,
thought through together.

Tell us what needs to improve. We help you decide where to start and what is worth building.

Tell us about your project