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Emerging Technology

Big Data & Analytics Solutions

We design and build data platforms that transform raw, high-volume data into clear business intelligence — data warehouses, real-time analytics pipelines, BI dashboards, and data mining systems that power smarter decisions at every level of your organisation.

Data WarehousingBI DashboardsReal-Time AnalyticsData MiningETL PipelinesPredictive Modelling
PB+Data scale we handle
Real-timeStream processing
360°Unified data view
Self-serveBI for every team

What We Build

Big Data & Analytics Capabilities

End-to-end data platform engineering — from ingestion and storage through processing, analysis, and visualisation — making your data a genuine strategic asset.

Data Warehouse & Data Lake

Scalable data warehouses and data lakes on AWS, Azure, or GCP — centralising all your structured and unstructured data for analysis and reporting.

Real-Time Data Pipelines

Streaming data pipelines using Apache Kafka, Spark, and Flink — processing millions of events per second for real-time analytics and alerting.

BI Dashboards & Reporting

Self-serve BI platforms and executive dashboards using Power BI, Tableau, or custom-built solutions — putting actionable insight in the hands of every decision-maker.

Data Mining & Pattern Discovery

Mining large datasets to discover hidden patterns, correlations, and anomalies — surfacing non-obvious insights that drive competitive advantage.

ETL & Data Integration

Automated ETL pipelines that extract, transform, and load data from disparate sources — APIs, databases, files, and streams — into a unified analytical platform.

Advanced Analytics & ML

Statistical modelling, forecasting, clustering, and machine learning integrated directly into your data platform — from exploration to production-grade predictive models.

How We Work

Our Data Platform Delivery Process

From data strategy through production analytics platform — a structured approach that delivers value at each milestone.

01

Data Strategy & Discovery

Auditing existing data assets, identifying analytical use cases, and defining the architecture for your target data platform.

02

Platform Architecture

Designing the data ingestion, storage, processing, and serving layers — selecting the right tools and cloud services for your scale and budget.

03

Data Pipeline Development

Building and testing all ETL/ELT pipelines, stream processors, and data quality checks that feed your analytical platform.

04

Data Modelling

Designing dimensional models, data vault schemas, or analytical schemas that optimise query performance and enable flexible reporting.

05

BI & Dashboard Development

Building dashboards, reports, and self-serve analytics tools calibrated to each user persona and business function.

06

Operationalisation & Support

Monitoring, alerting, data quality management, and platform evolution — keeping your data platform accurate and performant over time.

Why SharpLogic

Why organisations choose us for Big Data

End-to-end data engineering

From raw data ingestion to polished executive dashboards — one team covering the entire data platform stack.

Cloud-native & scalable

Built on AWS, Azure, or GCP with auto-scaling architecture — handling growth from gigabytes to petabytes without re-platforming.

Data governance built-in

Data cataloguing, lineage tracking, access controls, and compliance reporting — making your data platform auditable and trustworthy.

Business-outcome focus

We measure success by the business decisions your data enables — not by the technical sophistication of the platform.

Industries We Serve

Big Data solutions across every sector

Government & Public SectorFinancial ServicesHealthcareRetail & E-CommerceManufacturingTelecommunicationsEnergy & UtilitiesSmart Cities

Data & Analytics Partner

Ready to unlock the value in your data?

Whether you're starting your data journey or scaling an existing platform — our team builds data solutions that deliver clear business intelligence and measurable impact.