BI + AI · Singapore

Turn data into decisions that drive growth.

InsightEngine builds executive dashboards, KPI engines and predictive analytics that connect your data sources to the metrics your leadership team actually uses — delivered from Marina Bay for APAC enterprises.

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240+KPIs modelled

18Industries served

PDPAAligned analytics

InsightEngine Live Executive dashboard

InsightEngine KPI dashboard with growth metrics and trend charts

+24%Revenue YoY

94.2NPS score

SGD 2.1MPipeline value

Recommended insights

Four analytics engines, ready to deploy

Pre-built insight modules that plug into your warehouse, CRM and finance systems — scoped for Singapore market reporting and APAC operations.

Revenue

Growth trajectory

Quarterly revenue uplift across product lines with forecast confidence bands.

+18.4%

Retention

Customer cohorts

Churn risk scoring with segment-level retention curves and intervention triggers.

Ent

SMB

APAC

91% retained

Operations

Efficiency index

Cost-per-outcome metrics aligned to service-level targets and automation ROI.

Jan

Feb

Mar

Apr

-22% cost

Forecast

Demand signal

ML-assisted demand planning with scenario modelling for inventory and staffing.

Base

Upside

Target

Down

94% accuracy

We integrate with the platforms your data team already runs — cloud warehouses, CRMs and Singapore-regulated reporting stacks.

Snowflake BigQuery Power BI Tableau Databricks Salesforce

Analytics depth

From raw signals to board-ready narratives

Our analysts and ML engineers work alongside your finance and operations leads to define KPIs, build predictive models and automate the reports that used to take days.

0Dashboards delivered

0Average time-to-insight

0Data sources per client avg.

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Services

End-to-end insight delivery

Strategy, build and adoption — so your teams trust the numbers and act on them.

BI + AI dashboards

Executive and operational dashboards with natural-language summaries and drill-down paths tailored to your org structure.

Predictive analytics

Forecasting models for revenue, demand and risk — validated against your historical data and Singapore reporting cycles.

KPI

KPI engines

Centralised metric definitions, lineage documentation and automated alerts when thresholds drift from target.

Case study

Regional retailer: 31% faster planning cycles

A Singapore-headquartered retail group unified POS, inventory and marketing data into a single growth metrics board. Leadership now reviews weekly forecasts in under 90 minutes.

InsightEngine deployed RevenueLens Analytics and a custom KPI engine across 140 stores, integrating with their existing Snowflake warehouse and Power BI estate.

31%Faster planning cycles

SGD 4.2MIdentified margin uplift

6 weeksTime to first dashboard

100%PDPA-compliant data flows

See solutions

Growth metrics board showing retail KPI performance and regional trends

Why InsightEngine

Metrics that move the business

📊

Unified KPIs

One source of truth for definitions, owners and refresh schedules.

🔮

Predictive models

Forecast suites validated on your data, not generic benchmarks.

⚡

Live refresh

Near-real-time pipelines for ops teams that cannot wait overnight.

🛡

PDPA by design

Consent, retention and access controls built into every layer.

Client voices

Trusted by data-driven leaders

InsightEngine gave our CFO a single growth dashboard she actually trusts. Forecast accuracy improved within the first quarter — and our board pack prep dropped from two days to four hours.

David KohGroup CFO, logistics firm · Marina Bay, Singapore

The KPI engine finally aligned marketing and finance on the same definitions. We stopped arguing about numbers and started acting on them.

Priya NairHead of Analytics, FinTech scale-up · One-North

Predictive demand signals cut our overstock by double digits across APAC warehouses. The team delivered on time, on budget, in SGD.

James LimCOO, consumer goods · Jurong East

Ready to turn your data into growth decisions?

Book a consultation with our analytics team at Asia Square — we will map your KPIs and recommend a scoped engagement in Singapore dollars.

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