What We Offer

Our Services

From governance strategy to hands-on data engineering and cloud architecture, Lumiteq provides end-to-end data consulting services built around your needs.

Service Area 01

Data Governance

Establish the policies, processes, and organisational structures that ensure your data is accurate, available, and used responsibly across the business.

Data Quality Management

Establish data quality frameworks, profiling processes, and monitoring pipelines that ensure your data is accurate, consistent, and trustworthy across all systems.

Metadata Management

Implement metadata frameworks that provide full visibility into your data assets, improving discoverability, context, and data management efficiency.

Data Lineage & Traceability

Map and document data flows across your organisation to understand how data moves, transforms, and is consumed end-to-end, from source to report.

Service Area 02

Data Engineering

Build reliable, scalable data pipelines and integration solutions using proven tools — from SAS's enterprise suite to the modern Databricks platform.

SAS Platform

SAS Enterprise Guide

Point-and-click analytical workflows for data access, transformation, reporting, and analysis. Ideal for business analysts and data professionals who need productive, code-optional workflows.

SAS Platform

SAS Data Integration Studio

Visual ETL design environment for building complex data integration workflows, managing metadata, and orchestrating data movement across heterogeneous systems.

SAS Platform

BASE SAS

The foundational SAS programming language for advanced data manipulation, custom transformations, statistical analysis, macro programming, and batch automation.

Modern Analytics

Databricks

Unified analytics platform built on Apache Spark. We design and implement large-scale data engineering pipelines, streaming workloads, and collaborative analytics workflows.

Service Area 03

Cloud Data Solutions

Leverage the full power of Microsoft Azure to modernise your data platform — whether you're migrating from on-premises, building a new data lake, or scaling analytics.

Azure Data Factory

Cloud-native ETL and data integration service for building fully managed pipelines that move and transform data across on-premises and cloud sources.

Azure Synapse Analytics

Integrated analytics platform combining data warehousing, big data processing, and data integration in a single unified experience — from ingestion to insight.

Azure Data Lake Storage Gen2

Scalable, secure, high-performance data lake solution for storing and analysing massive volumes of structured, semi-structured, and unstructured data.

Azure Databricks

Managed Databricks environment on Azure for collaborative data engineering, real-time streaming analytics, and machine learning at enterprise scale.

How We Work

A clear, collaborative process from first conversation to delivered solution.

01

Discovery

We start by understanding your business goals, data landscape, and pain points.

02

Assessment

We assess your current state — data maturity, architecture, tooling, and gaps.

03

Solution Design

We design a tailored solution and present a clear implementation plan.

04

Delivery

We implement and hand over — with documentation, training, and ongoing support.

Need a Specific Solution?

Contact us to discuss your data challenges — we'll find the right approach together.

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