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Discover — mapping a system across a wall of diagrams and plansDiagnose — analyzing dashboards and metrics to pinpoint the problemDesign — wireframes, UI/UX and software development of the solutionDeliver — implementing and delivering the finished productEvolve — continuous improvement and leveling upAn AI-powered data analytics dashboard turning raw data into insight

Data & Analytics

AI-powered data analytics that turns your data into decisions — not dashboards nobody opens. End-to-end: data engineering, BI, and AI agents connected to your stack that watch your business and report on what's happening, 24/7. Senior nearshore, and you own your data.

  • AI
    Powered analytics
  • You own
    Your data & stack
  • 17
    Countries served
  • 1,000+
    Projects delivered

Companies that believe in us

What is data analytics?

Data analytics is the work of turning your business data into decisions — collecting and cleaning it (data engineering), modeling it in a warehouse, surfacing it in BI dashboards, and predicting with it using AI. It's a service, not a course: we build the pipelines, the dashboards, and the AI agents that tell you what's happening, why, and what to do next.

The data analytics maturity ladder: raw data flows through engineering pipelines into a BI dashboard and up to a single highlighted business decision
Data analytics vs BI vs data science?
Business intelligence (BI) shows you what happened — dashboards and reports. Data analytics digs into why and what's next. Data science builds predictive models and AI. They're a ladder, not rivals — and we do all three, end to end.
Do I own my data and stack?
Yes — always. Your warehouse, pipelines, dashboards, and models are yours. We build on your cloud (or set one up for you), with no lock-in to a black-box platform.

Key takeaways

  • AI-powered, end to end — data engineering → BI → AI analytics, one team; not dashboards nobody opens.

  • Agentic analytics — AI agents on your data report on anything, anytime, under your company's umbrella.

  • Decisions, not dashboards — every metric maps to a decision, a metric, and an owner.

  • You own your data — your warehouse, stack, and models; no black-box lock-in.

  • Senior nearshore — real data engineers in your time zone, leaner than a Big-4 engagement.

Why analytics projects fail

Most analytics dies as dashboards nobody opens. Ours drives decisions.

How most analytics dies

  • Dashboards nobody opens — pretty reports with no decision attached.

  • Data swamps — data lakes that become unusable dumping grounds.

  • Vanity metrics — measuring what's easy, not what drives the business.

  • No data engineering — analytics built on messy, untrusted data.

  • Black-box platforms — locked into a tool you don't own or understand.

  • Built and abandoned — nobody owns it after the consultant leaves.

How WeEvolveIT does it

  • Decision-first — every dashboard maps to a decision, a metric, and an owner.

  • Solid foundations — clean pipelines and a trusted data warehouse underneath.

  • Metrics that matter — we measure what moves the business, not vanity numbers.

  • AI built in — forecasting, anomaly alerts, and natural-language insights.

  • You own it — your data, stack, and code, with no lock-in.

  • Built to run — we operate and evolve it, or hand it over with the knowledge.

What we offer

The whole ladder — from raw data to AI insight.

From data analytics consulting and strategy to data engineering services, business intelligence, and predictive AI — we're a full-stack data analytics company that owns the whole ladder, not just one rung.

  • Data engineering

    Pipelines, ETL/ELT, and a clean, trusted data warehouse — the foundation analytics stands on.

  • Business intelligence

    Business intelligence services — Power BI, Tableau, and Looker dashboards mapped to real decisions, not vanity charts.

  • Analytics & insights

    We dig into the why and the what-next — the analysis that actually drives action.

  • Predictive & AI analytics

    Forecasting, anomaly detection, and machine learning on your data.

  • Data warehouse & cloud

    Data warehouse services on Snowflake, BigQuery, and modern cloud data platforms — built, migrated, and managed.

  • Data strategy & consulting

    Data analytics consulting — a roadmap from messy data to a data-driven business, what to build, in what order.

Agentic Analytics · AI agents on your data

AI agents connected to your data — watching everything, reporting anything.

Under your company's umbrella, we connect AI data-analytics agents to your systems — no matter which ERP or CRM you run, we can do it. We surface your KPIs in Tableau, Power BI, or dashboards built to measure, and assign an expert AI agent to each area — sales, restock, financial analysis, ops. Ask in plain language and the agent pulls the KPI from anywhere in the business, on demand or on a schedule. No analyst bottleneck; the insight is there whenever you need it.

  • Any ERP, any CRM — we connect itWhatever stack you already run, the agents plug into your own tools and data — your security, your control.

  • Tableau, Power BI, or customYour KPIs surfaced where you want them — Tableau, Power BI, or dashboards built to measure with AI-agent integration.

  • An expert agent per areaA specialized AI agent for sales, restock, financial analysis, ops — ask in plain language and get the KPI from anywhere, on demand or scheduled.

Connect your stack
01Connect your stack

No matter which ERP or CRM you use, we connect the agents to the tools and data you already run.

Industries we serve

Domain-aware analytics for your sector.

  • Healthcare

    Healthcare data analytics — patient, clinical, and operational, HIPAA-aware.

  • Finance & fintech

    Risk, fraud, and performance analytics on financial data.

  • Retail & ecommerce

    Demand, inventory, and customer-behavior analytics.

  • Logistics

    Routing, fleet, and supply-chain analytics at scale.

  • Manufacturing

    Production, quality, and predictive-maintenance analytics.

  • And more

    SaaS, real estate, energy — domain-aware, every time.

Our data stack

The modern data stack — on your cloud, owned by you.

  • Snowflake
  • Google BigQuery
  • dbt
  • Power BI
  • Tableau
  • Databricks
  • Apache Spark
  • Python
  • PostgreSQL

Why WeEvolveIT

Data that drives decisions — and AI that watches it for you.

Most data analytics companies hand you dashboards and walk away. We're a data analytics company built for outcomes, not dashboards — and we stay. We handle the whole ladder — data engineering, BI, analytics, and AI — and connect agentic analytics under your umbrella so insight is always on. AI-powered, you own your data and stack, and our senior bilingual nearshore team — based at our Monterrey HQ in the heart of Mexico's manufacturing corridor — costs a fraction of a Big-4 engagement and works in your US time zone. 1,000+ projects across 17 countries in 15+ years.

  • Decisions, not dashboards

    Every metric maps to a decision and an owner.

  • AI + agentic

    Predictive AI and agents that report under your umbrella.

  • You own your data

    Your warehouse, stack, and models — no lock-in.

  • Senior nearshore

    Real data engineers in your time zone, leaner cost.

How it works · Our method

The WeEvolveIT five-phase method, applied to your data.

  1. 01

    Discover

    We map your data sources, the decisions you need to make, and the questions you can't answer today — with a costed plan.

  2. 02

    Diagnose

    We assess your data quality, gaps, and what to build vs buy — and find the fastest wins.

  3. 03

    Design

    We design the data model, the warehouse, the dashboards, and the AI — the architecture from source to insight.

  4. 04

    Deliver

    We build the pipelines, dashboards, and AI agents — working analytics you can see, with the stack yours.

  5. 05

    Evolve

    Data is never done. We keep adding sources, metrics, and AI — your analytics gets smarter as your business grows.

Where we work

Local where it counts, bilingual everywhere

  • United States — national + Texas local
  • Mexico — Monterrey (HQ) + all of Mexico, bilingual teams
  • Global — EN/ES delivery across 17 countries

Cost & engagement

From AI agents to full builds — senior, from $50 USD an hour.

Cost depends on your data and scope. We work three ways: Agentic Analytics as a monthly productized service, a fixed-scope project priced up front after discovery, or a dedicated nearshore data team from $50 USD/hour. Senior nearshore talent costs a fraction of a Big-4 engagement — and you own every pipeline, dashboard, and model we build.

  • Monthly · productized

    Agentic Analytics

    AI analytics agents connected to your stack, delivering reports and alerts on demand or on a schedule — under your umbrella.

  • Per project · costed up front

    Analytics project

    A defined build — pipelines, warehouse, and dashboards — priced after a discovery phase. No surprises.

  • Monthly · from $50 USD/hr

    Dedicated data team

    A senior nearshore data team as an extension of yours — engineers, analysts, and BI.

FAQ

What teams ask before starting with data.

01What are data analytics services (and is this courses or consulting)?

Consulting and delivery — not courses. We're a data analytics agency and engineering team: we build and run your data — pipelines and a warehouse (data engineering), BI dashboards, analytics, and AI/predictive models. You get working analytics tied to real decisions, and you own all of it. We can also train your team along the way.

02Data analytics vs business intelligence vs data science?

BI tells you what happened (dashboards, reports). Data analytics digs into why and what's next. Data science builds predictive models and AI. They build on each other, and we deliver the whole ladder — from clean data to AI insight.

03What is agentic analytics / AI data analytics?

We connect AI agents to your data, under your company's umbrella — your tools, your security. They continuously watch your business and generate reports and alerts on the thousand things that can happen (trends, anomalies, forecasts, risks) in plain language, on demand or on a schedule — no analyst bottleneck.

04How much do data analytics services cost?

It depends on scope and your data. We work three ways: Agentic Analytics (a monthly productized service), a fixed-scope project priced up front, or a dedicated nearshore data team from $50 USD/hour. Senior nearshore talent costs a fraction of a Big-4 engagement — and you own everything we build.

05Do I own my data, warehouse, and dashboards?

Yes — always. Your data, warehouse, pipelines, dashboards, and models are yours, built on your cloud. No lock-in to a black-box platform; you can run it, extend it, or take it anywhere.

06Do you do analytics for my industry (healthcare, finance, retail)?

Yes. We have domain expertise across healthcare (HIPAA-aware), finance and fintech, retail and ecommerce, logistics, and manufacturing. Industry-aware analytics respects your sector's data, rules, and the decisions that actually matter.

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Ready to turn your data into decisions?

Tell us what you wish you could see. We'll come back with the data you have, the analytics and AI agents to build, and a costed plan — discovery first, and you own everything.

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