Data analytics and business intelligence
We turn scattered data into reliable indicators: integrated, cleaned and presented in dashboards that leadership and operations consult daily to decide on time.
When it applies
- Each department produces its own report and the figures don't match.
- Preparing the weekly report takes days of manual work.
- There are losses or unproductive time that are not being measured.
- The data exists in the systems, but querying it depends on IT.
Service scope
KPI definition
What to measure, how each indicator is calculated and who uses it to decide.
Data pipelines
Automatic extraction, cleaning and unification of information from the various systems.
Dashboards and reports
Clear visualizations for leadership and operations, updated without manual intervention.
Data quality
Validations to ensure reliable figures and catch errors at the source.
AI predictive analytics
Beyond showing what happened, models anticipate what comes next: deviations, consumption and costs.
Methodology
- 01
Discovery call
A no-obligation initial session to understand the operation, the objectives and the project's feasibility.
- 02
Proposal
Scope, priorities and a first version with measurable results.
- 03
Staged development
Working deliveries validated and adjusted in each iteration.
- 04
Go-live
Production launch, results measurement and continuous improvement.
Industries
We have built KPI tracking for Oil & Gas and improved inventory data accuracy in the chemical industry. The same approach applies to logistics, commerce and any operation with scattered data.
Oil & Gas: View solutions →Related projects
Oil & Gas
Integrated Operations and QHSE Platform
A central system that replaces spreadsheets and scattered folders: document management, audits, KPIs, maintenance, training and field safety, with automated reporting.
View case →Oil & Gas
Real-Time Drilling Analytics
Reduction of invisible non-productive time and improvement in operational efficiency
View case →Chemical Industry
Chemical Inventory & Traceability
35% improvement in data accuracy, +20% in operational efficiency
View case →Frequently asked questions
Is it compatible with current BI tools?
Yes. We can feed the tools the team already uses or integrate dashboards into the company's software, as appropriate.
What if the data is not organized?
That is the most common scenario. Cleaning and validating it is part of the service, and it usually produces the first findings.
How often are dashboards updated?
It is defined per process: from daily updates to near real-time information.