From Data Chaos to
Decision-Ready Intelligence.

From Data Chaos to Decision-Ready Intelligence.

Siya turns fragmented, siloed, and legacy data estates into governed, AI-ready platforms that give every team the insight they need in real time.

Only 26% of enterprise analytics initiatives deliver measurable business value. The gap is almost always infrastructure, not ambition.

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Data & Analytics covers everything from the pipes that move your data to the dashboards your teams rely on daily. We work across the full stack — engineering, architecture, and intelligence.

Data & Analytics covers everything from the pipes that move your data to the dashboards your teams rely on daily. We work across the full stack — engineering, architecture, and intelligence.

60%

Less time spent on manual data prep

40%

Reduction in ad-hoc reporting requests

3x

Faster time-to-insight with unified data layer

Service Offerings

Data Engineering & Migration

AI-Ready Data Modernisation

BI & Visualisation

Unified Data Platform

What We Do?

Design and build production-grade ELT/ETL pipelines using dbt, Apache Spark, Fivetran, and Airflow.

Migrate from legacy warehouses (Oracle, Teradata, on-prem SQL) to Snowflake, Databricks, or BigQuery.

Implement DataOps practices: CI/CD for data pipelines, automated testing, and environment management.

Data contract and schema governance to enforce quality at the source.

Data Engineering & Migration

AI-Ready Data Modernisation

BI & Visualisation

Unified Data Platform

What We Do?

Design and build production-grade ELT/ETL pipelines using dbt, Apache Spark, Fivetran, and Airflow.

Migrate from legacy warehouses (Oracle, Teradata, on-prem SQL) to Snowflake, Databricks, or BigQuery.

Implement DataOps practices: CI/CD for data pipelines, automated testing, and environment management.

Data contract and schema governance to enforce quality at the source.

Data Engineering & Migration

AI-Ready Data Modernisation

BI & Visualisation

Unified Data Platform

What We Do?

Design and build production-grade ELT/ETL pipelines using dbt, Apache Spark, Fivetran, and Airflow.

Migrate from legacy warehouses (Oracle, Teradata, on-prem SQL) to Snowflake, Databricks, or BigQuery.

Implement DataOps practices: CI/CD for data pipelines, automated testing, and environment management.

Data contract and schema governance to enforce quality at the source.

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Our Approach

Siya Data Velocity Framework

01

Assess

Data landscape - audit inventory sources, quality scores, architecture gaps, and AI-readiness score.

01

Assess

Data landscape - audit inventory sources, quality scores, architecture gaps, and AI-readiness score.

02

Architect

Target state design - platform selection, data modelling approach, and governance blueprint.

02

Architect

Target state design - platform selection, data modelling approach, and governance blueprint.

03

Engineer

Pipeline build — ingestion, transformation, testing, and orchestration on your chosen cloud.

03

Engineer

Pipeline build — ingestion, transformation, testing, and orchestration on your chosen cloud.

04

Activate

BI layer and self-service analytics — from raw data to dashboards your teams actually use.

04

Activate

BI layer and self-service analytics — from raw data to dashboards your teams actually use.

05

Scale

Unified platform with data products, catalogues, and AI feature stores ready for ML workloads.

05

Scale

Unified platform with data products, catalogues, and AI feature stores ready for ML workloads.

Why Siya?

We build for AI, not just analytics

Most data consultancies optimise for today’s BI requirements. We architect for tomorrow’s AI — every pipeline we build is designed to feed ML models, not just dashboards.

We speak dbt, Iceberg, and DataOps natively

Our engineers are practitioners, not generalists. We build with the modern data stack’s most powerful tools and contribute to the open-source community around them.

We own data quality from day one

Bad data is the silent killer of AI initiatives. We instrument data quality checks, contracts, and observability into every pipeline we deliver — not as an afterthought.

We deliver a maturity score, not a vague roadmap

Every engagement starts with a quantified Data Maturity Assessment. You leave with a scored baseline and a prioritised action plan, not a slide deck of recommendations.

Use Cases

FinTech & Enterprise SaaS

75% Faster Reporting: AI-Native FP&A Platform Built for Enterprise Finance at Scale

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FinTech & Enterprise SaaS

75% Faster Reporting: AI-Native FP&A Platform Built for Enterprise Finance at Scale

Data & Analytics

E-commerce & Retail

70% Less Manual Work: Full-Lifecycle Automation for E-commerce Operations

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E-commerce & Retail

70% Less Manual Work: Full-Lifecycle Automation for E-commerce Operations

Legal & Immigration Services

15-Year Legacy Eliminated: Cloud Transformation for Immigration Services

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Legal & Immigration Services

15-Year Legacy Eliminated: Cloud Transformation for Immigration Services

Cloud & Infra

FinTech

Global Transfer Pricing Compliance: A Unified Data Platform for Multinational Organisations

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FinTech

Global Transfer Pricing Compliance: A Unified Data Platform for Multinational Organisations

Data & Analytics

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Ready to build a data foundation your business can grow on?

Ready to build a data foundation your business can grow on?

Speak with a Siya data architect about your current landscape, your priorities, and what a realistic path forward looks like for your organisation.

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