Marketing Technology
Engineering the infrastructure behind smarter marketing.
- Marketing Automation
- AI Marketing Agents
- Meta Ads Data Integration
- Conversion Tracking
- Meta Pixel Implementation
- Meta Conversions API (CAPI)
Data & Analytics
Data and analytics that turn fragmented information into clear decisions
Most companies have plenty of data and very little clarity. Sales lives in the CRM, spend in ad platforms, revenue in accounting, operations in spreadsheets. We build the pipelines, data models and dashboards that bring it together — business intelligence and marketing analytics solutions for Malaysian companies that want to manage by numbers they can trust.
Outcomes
What this delivers for the business
- One trusted source of truth instead of competing spreadsheets
- Know which campaigns, channels and products actually drive profit
- Replace manual weekly reports with automated, always-current dashboards
- Spot problems and opportunities early with monitoring and alerts
Capabilities
- Business Intelligence
- Executive Dashboards
- Marketing Analytics
- Sales Analytics
- Marketing Attribution
- Customer Analytics
- Automated Reporting
- Data Pipelines
- Performance Monitoring
What we build
Typical systems and engagements
Executive Dashboard
Revenue, pipeline, marketing spend and operations metrics in a single daily view for leadership.
Marketing Attribution
Connects ad spend to leads, quotations and closed sales so ROI is measured on revenue, not clicks.
Sales Analytics
Pipeline velocity, follow-up performance, close rates and revenue by source, product and salesperson.
Customer Analytics
Acquisition cost, retention, lifetime value and segmentation from your own transaction data.
Automated Reporting
Scheduled reports delivered to email or WhatsApp with the numbers your team needs each morning.
Data Pipeline
Reliable extraction from ad platforms, CRM and databases into a governed reporting layer.
01
Start with the decisions, not the charts
Dashboards fail when they display everything and inform nothing. We begin by defining the decisions your team needs to make weekly and monthly, then work backwards to the metrics, the data sources and the transformations needed to produce them reliably.
- Metric definitions agreed with stakeholders before anything is built
- Data sources mapped and validated for completeness
- Dashboards designed for the questions people actually ask
- Alerts for the handful of numbers that require immediate action
02
Data infrastructure that stays accurate
Reports are only useful if the underlying data is complete and consistent. We build pipelines that pull from ad platforms, CRM, e-commerce, accounting and internal databases into a structured reporting layer, with validation checks and documentation of every transformation.
- Scheduled and event-driven extraction from APIs and databases
- Data models that join marketing, sales and finance on shared keys
- Validation and reconciliation checks with alerts on anomalies
- Documentation so every metric can be traced back to its source
03
From reporting to intelligence
Once the data foundation exists, AI analysis becomes practical. We layer automated analysis and recommendations on top of the reporting model — explaining changes, flagging underperforming campaigns and suggesting actions for a human to approve.
- Automated narrative summaries of weekly performance
- Anomaly detection across campaigns, sales and operations
- AI-generated recommendations with supporting evidence
- Continuous monitoring rather than monthly retrospectives
Works well with
Related services
Most engagements combine capabilities. These are the services most often delivered alongside this one.
API & System Integration
Connect your platforms, data and workflows into one operating ecosystem.
- REST API Development
- Webhooks & Event-driven Sync
- CRM Integration
- ERP & Accounting Integration
- Payment Gateway Integration
- WhatsApp Integration
AI & Automation
Embed intelligence into everyday business operations.
- AI Agents
- AI Assistants
- Workflow Automation
- Document Processing
- Lead Intelligence
- Customer Support Automation
Also see: Custom Software Development · All services
Data & Analytics: frequently asked questions
Which dashboard and BI tools do you work with?
We build custom web dashboards when the requirement is specific or customer-facing, and use established BI tools when they fit. The recommendation depends on your users, data volume and licensing preferences.
Can you combine data from Meta Ads, our CRM and accounting?
Yes — this is one of the most common projects we deliver. Joining ad spend with CRM outcomes and revenue is the foundation of real marketing attribution and profitability analysis.
How do you ensure the numbers are accurate?
Through agreed metric definitions, reconciliation checks against source systems, validation rules in the pipeline and documentation of every transformation. When a number changes unexpectedly, alerts fire before the report is trusted.
Where is the data stored?
In infrastructure you control — typically a managed database or warehouse in your own cloud account. Access is role-based and credentials are managed server-side.
How long does a dashboard project take?
A first executive dashboard connected to two or three sources typically takes four to six weeks including data pipeline work. Additional views are faster once the reporting layer exists.
Ready to talk about data & analytics?
Tell us what you're trying to achieve. We'll come back with an honest assessment, the options, and a proposed first phase.
No obligation. We reply to project enquiries within one business day.