Data practice

Answers your stakeholders can act on.

Data engineering, governance and analytics delivered by dedicated data teams, plus DataSimple, our AI analytics platform that manages the full life of your data and lets non-technical stakeholders query it in plain language.

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Data engineering

The unglamorous work that makes analytics true.

Data governance

Ownership, definitions and policies that make numbers mean the same thing in every meeting. Governance designed to enable, not to bureaucratize.

Data quality

Profiling, validation rules and monitoring that catch bad data at the door, before it contaminates a dashboard or a model.

Management & integration

Pipelines that connect your operational systems, warehouses and third-party sources into one coherent, queryable estate.

Automation & DataOps

Versioned, tested, automated data pipelines. The same engineering discipline we apply to software, applied to data.

BI dashboards

Descriptive analytics done right: dashboards your teams trust because the layer underneath them is governed and tested.

Predictive & prescriptive

Forecasting and prescriptive models where the data supports them, deployed into the tools your business already uses.

The DataSimple lifecycle

One platform across the whole life of your data.

DataSimple manages the full data journey, from the first definition to the models that predict what comes next.

01 · GET IT RIGHT

Foundation

Define what the data means, migrate it out of silos, integrate the sources and clean what arrives. Governance from day one.

Definition Migration Integration Cleaning

02 · MAKE IT USABLE

Consolidation

A consolidated, governed layer that exposes trustworthy data to the people and systems that need it, in the shape they need it.

Consolidation Exposure Governance

03 · MAKE IT THINK

Intelligence

Analysis in plain language, predictive models where the data supports them, and automation that keeps reports flowing without an analyst queue.

Analysis Prediction Automation

FAQ

Questions we always get

What is DataSimple?

Aztia’s AI analytics platform. It manages the full data lifecycle (definition, migration, integration, cleaning, consolidation, exposure, analysis, prediction and automation) and gives non-technical stakeholders natural-language queries, predictive models and automated reporting without waiting on an analyst queue.

Do you do data engineering or only dashboards?

Engineering first. Governance, data quality, integration and DataOps are the foundation; dashboards and models come after, which is why they hold up. If your current dashboards contradict each other, that foundation is usually the missing piece.

Do you work with our existing BI stack?

Yes. We build on your warehouse and BI tooling, and our engineers hold 200+ AWS, 100+ Oracle, 60+ Microsoft and 10+ Google Cloud certifications across the practice.

How do engagements start?

Usually with a scoped fixed-price phase to stand up or clean the foundation, then a dedicated team or staff augmentation for the roadmap, under one US contract.

DataSimple heritage

A data practice measured in enterprise results.

DataSimple is the data and analytics practice of SETI, Aztia's parent company. This is the record it brings, much of it in financial services. Meet the group →

SETI · DATASIMPLE · DATA GOVERNANCE

Master data and quality for a leading Colombian financial group

Full MDM golden-record and data quality program across the group's companies on IBM DataStage and QualityStage: profiling, quality rules, indicator monitoring and remediation. Data quality rose 25% and reprocessing fell 40%.

MDM +25% data quality -40% reprocessing

SETI · DATASIMPLE · DATA QUALITY

Operational data store with automated data quality

A high-volume operational data repository on Microsoft architecture with a Python data quality engine and Power BI quality indicators, cutting the risk of regulatory fines from inconsistent data by 80%.

Python DQ engine Power BI -80% sanction risk

SETI · DATASIMPLE · ACCELERATOR

Data ingestion framework

A portable ingestion accelerator built on base SQL and dynamic code generation that connects heterogeneous sources without traditional ETL licensing, cutting ingestion build time and cost by up to 60% per source.

ETL acceleration -60% build time

SETI · DATASIMPLE · PREDICTIVE

Predictive models in production

Operating predictive analytics across clients: demand forecasting, early collections management, credit card scoring, time-series anomaly detection and text classification, built on governed, quality-assured data.

Forecasting Scoring Anomaly detection