Cruzata
Cruzata service

Data Engineering & Analytics Services

Turn scattered data into a trusted foundation for dashboards, decisions and AI: pipelines, warehouses and analytics that people actually use.

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  • 18technologies
  • 4related solutions
Overview

From raw data to decisions

Most organisations have the data they need, just not in one place or in a form people trust. We build the pipelines, models and dashboards that connect sources, clean and standardise data, and put reliable numbers in front of decision makers.

The same foundation then powers machine learning and AI features, because good models start with good data.

  • Source integration and ETL / ELT
  • Cloud data warehouse and lakehouse
  • Semantic layer and governed metrics
  • Self-service dashboards

At a glance

Ingest
Databases, APIs, files
Transform
Clean, model, test
Serve
Warehouse, BI, APIs
Learn
Analytics and ML
Talk to an expert
How it works

Analytics delivery roadmap

  1. 1

    Questions first

    Define the decisions and metrics that matter.

  2. 2

    Source audit

    Map systems, quality and access.

  3. 3

    Pipeline & model

    Build the warehouse and transformation layer.

  4. 4

    Visualise

    Dashboards with agreed definitions.

  5. 5

    Govern & extend

    Quality checks, documentation and new use cases.

In depth

Choices, comparisons and what to expect

What we build

Reliable pipelines that move and prepare data automatically.

  • Batch and streaming ingestion
  • Transformation with dbt
  • Data quality tests
  • Orchestration and monitoring

Dashboards and reports tailored to each team.

  • Executive scorecards
  • Sales and finance reporting
  • Operational dashboards
  • Embedded analytics

Forecasting, segmentation and prediction.

  • Demand and revenue forecasts
  • Customer segmentation
  • Churn and propensity models
  • Anomaly detection
Technology stack

Technologies we use for data & analytics

  • Snowflake
  • BigQuery
  • Amazon Redshift
  • PostgreSQL
  • Delta Lake
  • S3 / Data lake
  • Apache Airflow
  • dbt
  • Airbyte / Fivetran
  • Kafka
  • Spark
  • Python / SQL
  • Power BI
  • Tableau
  • Looker / Looker Studio
  • Metabase
  • scikit-learn
  • MLflow
Solutions

Outcomes this service delivers

AI & Automation AI Solutions We turn artificial intelligence into working software: practical systems that save time, reduce errors and unlock insight from your data. Technology System Integration When systems do not talk to each other, people become the integration. We connect your software so data flows once and is trusted everywhere. Technology Digital Transformation Digital transformation is a change in how your business operates, not a technology purchase. We help you plan it and deliver it in practical steps. AI & Automation Business Automation Connect your tools and automate the handoffs, approvals and data entry that slow your teams down.

Industries we serve

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FAQ

Questions about data & analytics

Cannot find what you need? Our team answers within one working day.

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Data engineering is designing and operating the systems that collect, transform and store data so it is reliable and ready for analysis, reporting and machine learning.

If reports require combining data from several systems or run slowly on operational databases, a warehouse is usually worthwhile. We size the solution to your volume and budget.

We recommend based on users, existing licences and data sources, commonly Power BI, Tableau or Looker, or open-source tools like Metabase.

We add automated tests, monitoring and clear ownership of metric definitions, so inaccuracies are caught early.

Yes. A governed, well-modelled data layer is the foundation for reliable ML and generative AI.

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