Services

One team for the entire lifecycle of your data

We integrate, clean and analyze your data. Hire us for the full journey or just the stage you need.

01

Data engineering

We connect all your data sources and automate their updates, so data reaches wherever it’s needed on its own.

What’s included

  • Discovery of your sources: ERP, CRM, spreadsheets, databases and APIs
  • Automated, cross-platform ingestion pipelines
  • A centralized data model, ready for analysis
  • Load monitoring and error alerts

OutcomeA single source of truth that updates without manual work.

Related case study

02

Data quality and preparation

Reliable data comes first: we detect errors, duplicates and gaps, and fix them with business rules and machine learning models.

What’s included

  • Quality assessment of every source
  • Cleaning, deduplication and standardization
  • Unified customer, product and distributor master data
  • Data governance: definitions, owners and shared criteria

OutcomeNumbers every department trusts, with documented criteria.

03

Analytics and predictive models

We design the KPIs that best explain your business and models that anticipate what’s coming, so you can move from reacting to planning.

What’s included

  • Industry-standard KPIs
  • KPIs tailored to your business
  • Predictive models for demand, sales and customer behavior
  • Customer and point-of-sale segmentation

OutcomeKPIs that show where to act, and forecasts that let you decide sooner.

Related case study

04

Management dashboards

Dashboards for every team, from leadership to sales, with key information one click away.

What’s included

  • Dashboards designed to drive decisions, not to decorate
  • Built in Power BI or other visualization platforms
  • A private portal where customers and distributors can check their own data
  • User training and documentation

OutcomeEveryone sees what they need to make decisions, always up to date and on any device.

Related case study See sample dashboards

Analytics maturity

From looking back to knowing what to do tomorrow.

  1. 01

    See what happened

    Standard KPIs in a single dashboard.

  2. 02

    Understand why

    KPIs tailored to your business.

  3. 03

    Anticipate

    Models that predict demand and customer churn.

  4. 04 · What you saw on the home page

    Know what to do

    AI-powered recommendations based on your data.

Where does your company stand today? Find out in 2 minutes with the AI readiness check

How we work

Start wherever it helps you most

We adapt to where your company is today: from an initial assessment to a data team that supports you month after month.

Recommended first step 2 weeks

Data assessment

In two weeks you know what data you have, what is missing and where to start, with a prioritized plan.

Explore the assessment
Project

Custom project

We integrate your sources and build dashboards, models or AI agents with a defined scope, timeline and deliverables.

Let's talk about your project
Monthly

Ongoing partnership

Your external data team: we maintain, improve and extend your solutions month after month.

Ask about ongoing support

Data ready for artificial intelligence

How we prepare your data for AI

Our data engineering and data quality services are the foundation of any artificial intelligence project: we connect your sources, curate the information and organize it so an AI agent can answer questions, forecast and automate with reliable data.

Data journey

Explore the chart

Hover over or tab through each element to see what it contributes and how we handle it.

1 Data sources

  • CRMSalesforce · HubSpot
  • ERPSAP · Odoo · Dynamics
  • Excel and spreadsheetsTargets · prices · stock
  • .txt and .csv filesExports · logs
  • WhatsAppOrders · inquiries
  • EmailOrders · attachments
  • DatabasesSQL Server · Oracle
  • APIs and e-commerceMercado Libre · Shopify

2 Curation, cleaning and organization

  1. IngestionWe connect every source automatically and securely, and centralize the data in a single repository with scheduled updates.
  2. CleaningWe fix data-entry errors, invalid formats and missing values, and extract useful data from free text such as messages and emails.
  3. DeduplicationWe merge duplicate customers, products and suppliers across systems so each one has a single record.
  4. StandardizationWe bring everything to the same units, currencies, dates and codes so data from different sources can be compared.
  5. ValidationWe apply quality rules on every update and raise alerts when something doesn’t add up, before it reaches a decision.
  6. OrganizationWe organize the information into a documented data model with permissions and lineage: ready for dashboards and for AI.

3 AI agent

An artificial intelligence agent connected to curated data answers accurately, without making up numbers: it queries, cross-references and analyzes information from across the company in seconds.

4 Outcomes

  • AnswersIn plain language
  • ForecastsSales and demand
  • AlertsProactive and timely
  • AutomationRepetitive tasks
Raw data: scattered, duplicated and inconsistent Curated data: clean, unified and documented
See AI solutions for business

Technology

We work with the platforms you already use

We assess each company’s context and infrastructure to recommend the right tool, without locking you into a single vendor.

  • Power BI
  • Microsoft Azure
  • SQL
  • Python
  • Excel and SharePoint
  • Machine Learning

Tell us which stage you want to start with.

One call is all it takes to define the first step. No cost, no commitment.

Book a call Message us on WhatsApp