Churn Prediction
Identify customers most likely to leave before they do. Score every customer by churn risk and trigger automated retention actions for high-risk accounts.
TelcoBankingSaaSRetail
Analytics & Managed Services
Turn Your Data Into Decisions. Keep Your Operations Running.
From predictive models and AI-powered analytics to managed IT infrastructure — we help Malaysian SMEs and enterprises extract intelligence from their data and keep their technology running reliably.
Microsoft Technology PartnerTableau & Power BIAzure · AWS · GCPSince 2006
Part 1 — Predictive Analytics & AI Insights
★ Signature CapabilityAsk Your Data a Question.
Ask Your Data a Question.
Get an Answer.
Most dashboards show you the past. Our Intelligent Analytics layer lets you query your business data in plain English and get AI-generated answers backed by your actual numbers.
“Why did churn spike in Q3?”
“Which salespeople are at risk of missing target?”
“What drove the cost overrun in operations last month?”
“Which customers should we prioritise for retention calls?”
The 3-Layer Analytics Stack
Layer 1
Visualisation
Tableau & Power BI dashboards — your data made visual and accessible
Layer 2
Prediction
ML models that forecast churn, attrition, revenue, and anomalies
Layer 3 ★
Conversation
Ask questions in plain English — AI answers from your own data
Predictive Analytics Use Cases
We build models across every major business function and industry.
Sales Forecasting
Predict revenue with confidence. AI models trained on your historical sales data give sales leaders accurate pipeline forecasts without spreadsheet guesswork.
B2B SalesRetailDistributionFinance
HR Attrition Modelling
Know which employees are flight risks before they resign. Model attrition probability by department, role, tenure, and manager — and act before it's too late.
Enterprise HRShared ServicesBPO
Financial Anomaly Detection
Catch fraud, errors, and irregularities in real time. AI monitors transaction patterns and flags outliers that rule-based systems miss.
BankingInsuranceFinanceAudit
Operations & Supply Chain
Optimise inventory, predict demand, and reduce operational waste. AI models that learn from your logistics and operations data to improve efficiency over time.
ManufacturingLogisticsRetailFMCG
Custom Predictive Models
Have a unique business problem? We design and deploy custom ML models tailored to your data, your industry, and your specific prediction challenge.
Any industryAny use case
2–4 weeks
To first predictive model in production
From data assessment to live deployment
Plain English
Query your data conversationally
No SQL, no data team needed
Any stack
Works on top of your existing BI tools
Tableau, Power BI, or custom dashboards
All industries
Banking, telco, retail, healthcare, manufacturing
Use cases across every sector
Part 2 — Managed Services
AI-Ready Infrastructure That
Never Lets You Down
Your AI investments only deliver value when the underlying infrastructure is reliable, secure, and optimised. We manage your IT environment so your team can focus on the business — not the platform.
Managed IT Services
End-to-end infrastructure and application support with predictable service management. Proactive monitoring, incident response, and issue resolution — so your team focuses on the business, not the platform.
24/7 MonitoringIncident ManagementSLA-backed
Cloud Management
Optimise your cloud workloads across Azure, AWS, and GCP for performance, reliability, and cost control. Continuous improvement cycles ensure you're never overpaying for underused resources.
AzureAWSGCP
DevOps & Delivery Automation
Build collaborative DevOps workflows between engineering and operations with repeatable processes, CI/CD pipelines, and delivery standards that scale with your team.
CI/CDGitHub ActionsAzure DevOps
Security & Compliance
Enterprise-grade security monitoring, vulnerability management, and compliance reporting. Keep your infrastructure secure and auditable without building an internal security team.
PDPAISO 27001Vulnerability scanning
Predictable Costs
Fixed monthly pricing — no surprise bills, no emergency contractor rates
Proactive, Not Reactive
We catch issues before they become outages — not after your team calls us
AI-Ready Foundation
Infrastructure designed to support your AI workloads — not just today's operations
FAQ
Common questions
What is conversational analytics and how is it different from a normal dashboard?
A normal dashboard shows charts and numbers — you interpret them yourself. Conversational analytics lets you ask questions in plain English like "Why did sales drop in March?" or "Which customers are most likely to churn?" and get an AI-generated answer backed by your actual data. We build this intelligence layer on top of your existing Tableau or Power BI setup.
What predictive analytics use cases do you support?
We support customer churn prediction, sales forecasting, HR attrition modelling, financial anomaly detection, demand and supply chain optimisation, and custom ML models for industry-specific problems. We work across banking, telco, retail, manufacturing, healthcare, and professional services.
Do you work with our existing Tableau or Power BI setup?
Yes. We layer AI intelligence on top of your existing Tableau or Power BI investment — you keep your current dashboards and we make them smarter with predictive models and conversational querying. No need to replace your current BI tools.
How do I know if my data is ready for predictive analytics?
Most organisations underestimate their data readiness — and overestimate the problem. We run a data readiness assessment as the first step of every engagement. If your data needs cleaning, structuring, or enrichment before modelling, we handle that as part of the project scope. You don't need a perfect data warehouse to start.
How long does it take to implement a predictive analytics model?
A focused model — such as churn prediction or sales forecasting — typically takes 4–6 weeks from data assessment to production. More complex multi-model implementations take 8–12 weeks. We always assess data readiness before committing to a timeline so there are no surprises mid-project.
What does Managed IT Services include?
Our managed IT services cover proactive infrastructure monitoring, incident management, patch management, cloud cost optimisation, and DevOps implementation. We manage Azure, AWS, and GCP environments as well as on-premise infrastructure — with SLA-backed response times and fixed monthly pricing.
What are your managed services SLAs and support hours?
We offer SLA-backed incident response with defined response and resolution times based on severity. Support coverage and SLA tiers are agreed per client during onboarding. Enterprise clients typically get 24/7 monitoring with defined escalation paths — SME packages are structured around business hours with after-hours critical incident coverage.
Can you help us migrate to the cloud?
Yes. We design and execute cloud migrations to Azure, AWS, and GCP — including infrastructure assessment, migration planning, execution, and post-migration optimisation. We also handle hybrid scenarios where part of your infrastructure stays on-premise.
Is our data secure and PDPA-compliant under your management?
Yes. We implement enterprise-grade security including encrypted connections, role-based access controls, vulnerability scanning, and compliance reporting. For analytics workloads involving personal data we ensure processing stays within Malaysian or SEA data regions in line with PDPA Malaysia requirements.
How is your analytics and managed services work priced?
Analytics projects are scoped and priced per engagement based on data complexity, model count, and integration requirements. Managed services are priced as a fixed monthly retainer — no surprise bills or emergency contractor rates. We'll give you a clear estimate after an initial discovery session.
Analytics & managed services
Ready to make your data work harder?
Whether you need a predictive model, an intelligent analytics layer, or reliable managed infrastructure — tell us where you want to start and we'll build a practical plan around it.