Data Platforms & Dashboards
That Drive Real Decisions
We build the data infrastructure and analytics layer that turns raw events into dashboards, forecasts, and decisions your teams actually trust.
50+
Data platforms built
10×
Faster query performance avg.
3×
More decisions made with data
90%
Reduction in manual reporting
The modern data stack
Every layer of your analytics platform
We select, build, and connect the right tools at every layer — no vendor lock-in, no over-engineering.
Ingestion
- Fivetran
- Airbyte
- Kafka
- Kinesis
- Custom connectors
Storage
- Snowflake
- BigQuery
- Redshift
- Delta Lake
- PostgreSQL
Transform
- dbt
- Spark
- Flink
- Airflow
- Prefect
Consume
- Looker
- Metabase
- Power BI
- Superset
- Python / Jupyter
Where data drives value
Analytics built for every team, not just data teams
We design dashboards and data models around how each function thinks — not generic out-of-the-box templates.
Finance
Real-time P&L, revenue forecasting, budget variance, and automated close-process reporting that replaces manual spreadsheets.
Product
Funnel analysis, feature adoption, retention cohorts, and activation dashboards built around your north star metric.
Operations
Supply chain visibility, SLA monitoring, capacity planning, and exception alerting across your operational systems.
Marketing
Campaign attribution, customer acquisition cost, LTV:CAC ratio, and channel performance dashboards that match how you think.
Sales
Pipeline velocity, win-rate by segment, rep performance, and forecast accuracy — synced live from your CRM.
Risk & Compliance
Transaction monitoring, anomaly detection, audit-ready data lineage, and automated regulatory reporting.
What we build
End-to-end data & analytics services
From raw pipeline plumbing to predictive models — every layer of the modern analytics stack covered under one engagement.
Data Warehousing
Modern cloud data warehouses on Snowflake, BigQuery, or Redshift — schema-designed for query performance, cost efficiency, and the analytical workloads your teams run every day.
Data Pipelines & ETL/ELT
Automated ingestion, transformation, and loading pipelines that move data from every source — databases, SaaS tools, event streams, and flat files — into your warehouse reliably and on schedule.
Data Modelling with dbt
Version-controlled, tested, and documented data models built with dbt — so your metrics are defined once, trusted everywhere, and any analyst can trace a number back to its source.
BI Dashboards & Reporting
Self-serve dashboards in Looker, Metabase, Power BI, or Superset — designed around how your teams actually think, not what the tool defaults to. Beautiful, fast, and actionable.
Real-Time Event Streaming
Kafka, Kinesis, and Flink-powered streaming pipelines for product analytics, fraud detection, operational monitoring, and any use case where waiting for a batch job is too slow.
Predictive Analytics & ML
Churn prediction, demand forecasting, customer LTV, and anomaly detection — predictive models trained on your warehouse data and surfaced where decisions are actually made.
Data Observability
Automated data quality tests, freshness monitoring, schema change alerts, and lineage tracking — so data issues are caught before a stakeholder finds a wrong number in a dashboard.
Metrics Layer & Semantic Layer
A single source of truth for your business metrics — defined, versioned, and accessible to every BI tool, notebook, and AI query so everyone calculates revenue the same way.
Analytics Engineering
Ongoing model maintenance, dashboard iteration, pipeline optimisation, and stakeholder enablement — embedded analytics engineers who make your data platform better every sprint.
What you gain
From raw data to decisions your teams trust
Faster Decisions
Dashboards your teams check every morning — not reports that land in inboxes after a 48-hour delay.
Data You Can Trust
Automated quality tests and observability alerts catch bad data before it reaches a stakeholder.
No More Manual Reports
Automated pipelines replace spreadsheet exports — analysts spend time on insight, not data prep.
Predict, Don't React
Forecasting and anomaly detection that flags problems before they show up in monthly results.
Self-Serve Analytics
Business users find their own answers — reducing analyst bottlenecks and data team backlog.
One Source of Truth
A semantic layer where every team calculates revenue, conversion, and churn the same way.
Our approach
How we build your data platform
Metric-first, not tool-first — we start with what decisions need to be made, then build backwards.
Data Mapping
Inventory every data source, define your core metrics, and identify the gaps between what you have and what you need.
Stack Design
Select the right warehouse, ingestion, transformation, and BI tools for your scale, budget, and team's skill set.
Pipeline Build
Ingest, model, test, and document your data — delivering trusted tables and metrics your analysts can build on.
Dashboards
Ship self-serve dashboards for each stakeholder group, with training so they don't need to ask analysts for every number.
Forecast & Grow
Layer predictive models and ML on top of clean data — then iterate as your business and data volumes evolve.
Our team
What Makes Mabzone Your
Go-To Data Analytics Partner
Data engineers, analytics engineers, and BI specialists who care as much about decision quality as pipeline uptime.
Technologies
Our data toolchain
Why Mabzone
What sets us apart
- Analytics engineers who own data quality end-to-end — not just pipeline plumbing
- dbt-first modelling means your metrics are tested, documented, and version-controlled
- We design for self-serve: stakeholders answer their own questions without a ticket
- Data observability built in — you hear about quality issues before your CFO does
- Full handover: documented models, runbooks, and trained internal owners
Ready to get started?
Ready to trust your data?
Start with a free data audit — we'll map your sources, identify gaps, and show you exactly what's possible with the data you already have.