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 2012
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 ServicesBPOBanking
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-backedProactive
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.
AzureAWSGCPCost optimisation
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 DevOpsAutomation
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 scanningAudit trail
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 you charts and numbers — you have to 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 next month?' and get an AI-generated answer backed by your actual data. Oxydata builds this intelligence layer on top of your existing Tableau or Power BI dashboards.
What predictive analytics use cases do you support?
We support a wide range of use cases including customer churn prediction, sales forecasting, HR attrition modelling, financial anomaly detection, supply chain optimisation, and operations performance prediction. We work across industries including banking, telco, retail, manufacturing, and healthcare.
Do you work with our existing Tableau or Power BI setup?
Yes. We work with your existing Tableau or Power BI investment and add an AI intelligence layer on top. You keep your current dashboards — we make them smarter with predictive models and conversational querying.
What does Managed IT Services include?
Our managed IT services cover end-to-end infrastructure and application support — proactive monitoring, incident management, patch management, cloud optimisation, and DevOps implementation. We manage Azure, AWS, and GCP environments as well as on-premise infrastructure.
How long does it take to implement a predictive analytics model?
A focused predictive model — such as customer churn prediction or sales forecasting — typically takes 4–6 weeks from data assessment to production deployment. More complex multi-model implementations take 8–12 weeks. We always start with a data readiness assessment before committing to a timeline.
Get Started
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.