Enterprise Analytics Programmes
End-to-end delivery for complex, multi-year analytics and platform programmes, from requirement study through to production handover, for banks, telcos, and manufacturers.
View services →Deep SAS platform expertise for regulated enterprises, and economically justified AI solutions for Singapore's mid-market.
Founded in 2014, ZIDEA operates across three connected pillars to serve both Tier-1 enterprises and ambitious mid-market companies.
Our full story, journey & credentials →End-to-end delivery for complex, multi-year analytics and platform programmes, from requirement study through to production handover, for banks, telcos, and manufacturers.
View services →A SAS Institute Alliance Partner acting as delivery subcontractor and consortium member on enterprise SAS 9.x, Viya 3.x, and Viya 4 programmes across the region.
SAS & Viya services →We translate SME business problems into practical AI solutions. We bridge the gap between expensive enterprise transformations and purely technical AI startups by starting with your business economics, not our tech stack.
Explore the SME AI Diagnostic ↗PoCs, limited-delivery engagements, and service requests all need specialists fast. Our network spans multiple competitive markets, letting us recruit and retain SAS, cloud, and big-data talent that generalist bench-strength firms simply can't field on short notice.
Efficiency and security of IT operations, plus compliance with industry regulation, is where generalist integrators lose confidence. Our audit methodology assesses your IT operations, flags risk areas, and delivers actionable recommendations to reach a compliant, streamlined environment.
Hybrid onshore-offshore delivery lowers manpower cost while keeping the onshore presence clients need. Combined with technical project governance, it keeps expectations aligned between client and execution teams, for higher productivity and lower friction.
Full-lifecycle delivery across SAS 9.x, Viya 3.x, and Viya 4: implementation, administration, and solution design for AML, Fraud, Risk, and CI platforms.
Battle-tested migration across SAS 9.4 to Viya, on-premise to cloud, and cross-platform database consolidations at enterprise scale.
Deep domain expertise in fraud detection, multi-tenant AML implementations, and financial crime analytics for regulated institutions.
Data lake, streaming, and processing infrastructure built on Spark, Kafka, Hadoop, Databricks, and Elasticsearch for enterprise-scale performance.
Multi-cloud and private-cloud orchestration across AWS, Azure, GCP, and Kubernetes, specialised in SAS-on-cloud and hybrid architectures.
Demand forecasting, customer intelligence, and ML model deployment in Python, R, TensorFlow, and SAS analytical frameworks.
Consolidating fragmented AML monitoring into a single SAS multi-tenant framework across business units.
Read the case study →Migrating a legacy on-premise data warehouse to a resilient multi-cloud footprint without disrupting reporting SLAs.
Read the case study →Sequencing, risk, and the pitfalls that stall enterprise SAS platform moves, and how to avoid them.
Fraud & Risk AnalyticsWhy legacy rules-based fraud detection is failing regional banks, and how modern SAS and AI-driven AML analytics close the gap.