Data Analytics

Data, analytics and AI services empowering organisations to deliver unparalleled value throughout the customer journey - from raw data to real-time business intelligence.

Data EngineeringBI DashboardsPredictive ModelsReal-Time Analytics
Analytics Services

Data, Analytics & AI for Business Value

In the contemporary digital landscape, the triumvirate of data, analytics and AI stands as the linchpin for reshaping fundamental business operations. At Trigunasoft, our data services empower organisations to deliver unparalleled value throughout the customer journey - from acquisition to retention and beyond.

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Data Engineering & Pipelines

Robust, scalable data pipelines - ETL/ELT, streaming ingestion (Kafka, Kinesis), data lake architecture, data warehouse design (Snowflake, BigQuery, Redshift) and data quality frameworks.

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Business Intelligence & Dashboards

Interactive executive dashboards and self-service analytics using Power BI, Tableau, Looker and custom platforms - turning complex data into clear, actionable insights for every stakeholder.

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Predictive Analytics

ML models that forecast demand, predict churn, score credit risk, anticipate equipment failures and identify sales opportunities - before they happen.

Real-Time Analytics

Streaming data architectures for real-time fraud detection, IoT monitoring, live dashboards, event-driven alerting and operational intelligence with sub-second latency at scale.

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Advanced Data Science

Deep learning, time series analysis, anomaly detection, graph analytics and NLP - applied to your specific business problems by experienced data scientists with domain expertise.

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Data Governance & Quality

Master data management, data cataloguing, lineage tracking, quality monitoring, access control frameworks and regulatory data governance - ensuring your data is trusted and compliant.

Our Modern Data Stack

Warehouses & Lakes
SnowflakeBigQueryRedshiftAzure SynapseDatabricks
Pipelines & Orchestration
Apache SparkApache KafkaApache AirflowdbtAWS GlueFivetran
BI & Visualisation
Power BITableauLookerMetabaseApache Superset
ML & Data Science
PythonRTensorFlowMLflowVertex AISageMaker
Frequently Asked Questions

Common Questions

Data analytics examines historical data to understand what happened and why. Data science uses advanced statistics, ML and AI to predict what will happen next and prescribe what actions to take. We deliver both as part of a unified data strategy.
A foundational data warehouse with 3-5 integrated sources and basic reporting can be delivered in 8-12 weeks. Enterprise-scale implementations typically take 4-9 months, delivered in phases to provide early value.
Yes. We work with your existing investments wherever possible - extending Power BI, Tableau or Looker. If your current tooling is a bottleneck, we'll make an evidence-based recommendation with a clear migration path.
We apply privacy-by-design - anonymisation and pseudonymisation of personal data, purpose limitation, data minimisation, consent management and audit trail tracking. All pipelines are designed with GDPR Article 5 principles as baseline.
Typical outcomes include 20-35% churn reduction through early warning models, 15-25% inventory cost reduction through demand forecasting, 30-50% fraud loss reduction and 40-60% reduction in manual reporting effort.

Ready to Get Started?

Contact Trigunasoft for expert advice and solutions tailored to your unique business needs.