OEE
67%89%
Redos / Drops
18%-43%
Cycle Time
4.2d-31%
On-Time Delivery
81%96%
Operational Intelligence · Data Engineering · Continuous Improvement

Your data already has the answers. You just need to know where to look.

We analyze real operations to uncover losses, bottlenecks, and improvement opportunities. We design KPI systems and analytical models that turn complex data into clear decisions.

Lean Six Sigma Black BeltChemical Eng. · M.S. ManufacturingApplied statisticsPower BI · Python · SQL
How we generate value

We don't start by building dashboards.

We start by understanding your operation.

Before opening Power BI we understand how your operation works. We map with SIPOC and VSM to uncover idle times and cycle times, the critical variables, and the information that drives decisions. It's the same starting point as the diagnosis.

Data reveals what goes unnoticed: productivity, quality, cycle times, waste, rework, and internal and external claims. That's where the highest-impact causes surface.

Few companies measure the right thing. We design metrics aligned with productivity, quality, cost, and strategic objectives —with targets, trends, and alerts— unifying each area's databases into a single source.

When a decision weighs thousands of dollars, intuition isn't enough. We use root cause under DMAIC, failure stratification, and statistical tests to validate why it happens and reduce uncertainty.

We don't build charts for aesthetics. We automate paginated reports that generate themselves and show in seconds what's happening, why, what needs immediate attention, and what trend is growing.

We deliver clear, actionable conclusions, not sheets of numbers. The narrative is part of the analysis —and the bridge to the four-phase method we execute it with.

Questions we answer

What we can help you uncover

Instead of talking about software, we talk about your business.

Why did rework rates increase?
Which orders generate the most losses?
Where are idle times accumulating?
Which customers consume the most resources?
What process is limiting total capacity?
Which KPIs actually matter?
Where are the biggest hidden costs?
What trend is growing before it becomes a problem?
Methodology

Our work approach

That same criteria, now turned into four phases that ensure real impact.

PHASE 01

Process diagnosis

We map the process with SIPOC and VSM to reveal idle and cycle times, define the problem and critical variables, and review what data already exists in each area. If it's missing, we design the collection plan.

PHASE 02

Root cause analysis

Under DMAIC we stratify failures and internal and external claims to isolate the most probable causes behind each KPI gap. Every finding is backed by data.

PHASE 03

Unification & automation

We unify each department's databases in Power BI and automate reporting —monthly, quality, and strategic-objective— with paginated reports that generate themselves. Your team stops copying by hand and focuses on analysis.

PHASE 04

Executive delivery and interpretation

We present findings with a clear narrative for leadership —what happened, why, what action to take, and how to sustain it— connecting each area's result into a single decision board.

Most companies keep their data scattered: each department with its own base, people copying and documenting by hand, and no one relating how one area's result impacts the rest —when in the end it's a single result. We connect it all and turn it into pure gold.

Applied experience

Applied experience in real operations

We have developed analyses and KPI systems for processes in these domains.

Tap each card to see the criteria

Technical stack

Tools and methodologies

A combination of statistical rigor, process engineering, and data visualization.

Visualization
Power BILooker StudioTableauExcel AvanzadoGoogle SheetsMicrosoft 365
Statistical analysis
MinitabPython (pandas · scipy · matplotlib)SQLR (básico)
Methodology
DMAICSIPOCLean Six Sigma (Black Belt)EOSVSM5SFMEAKaizenA3
KPI frameworks
OEESPC / Control ChartsAuditoría de KPIsAnálisis de Capacidad (Cp / Cpk)ParetoIshikawaDOE
FAQ

Frequently asked questions

No. The most common starting point is data scattered across Excel files, ERP exports, or even no formal system at all. The first phase of the engagement is understanding what exists and designing the right structure before any analysis.

No. Operational analysis principles apply to any process with repeatable steps and measurable outputs: logistics, services, healthcare, distribution, administration. Wherever there is variability and waste, there is an analysis opportunity.

A report is a static snapshot — useful for presentations. A dashboard is live: it connects to your data source, updates automatically, and enables real-time decisions, not decisions based on last month's data.

Yes. We work with Power BI, Looker Studio, Tableau, Excel, SQL, and Google tools. If you already have licenses, we use them; if not, we recommend the most cost-effective option for your operation.

The foundation in process engineering and Lean Six Sigma Black Belt. We don't just build visualizations — we understand the process that generates the data, identify root causes using statistical tools, and translate technical findings into decisions for leadership.

Do you know what is really happening in your operation?

Many companies have data. Few convert it into decisions. Tell us what process you want to understand and we will design the highest-impact analysis for your operation.