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Build The Data FoundationYour Analytics Can Trust

We unify data scattered across ERPs, CRMs, and spreadsheets into governed warehouses and lakehouses, then put real-time dashboards and reporting on top — so every number your team acts on is the same number, everywhere.

5TB+

Data volume engineered per project

Days → mins

Reporting turnaround

GMT+8

Data team in your timezone

CHALLENGE & APPROACH

The problem, and how we solve it

The Challenge

Most organisations run on data that technically exists but practically can't be trusted. The same metric means something different in Finance's spreadsheet than in Ops' dashboard, pipelines break silently, and every new report starts with someone reconciling numbers by hand instead of analysing them.

  • Data scattered across ERPs, CRMs, and spreadsheets with no single source of truth
  • Pipelines that fail silently until a report looks wrong weeks later
  • Reports assembled by hand, always a few days behind the business
  • No governance, so nobody can say which number is the real one
Our Approach

We start by mapping where your data actually lives and how clean it is, before touching a model or a dashboard. We build governed warehouses and lakehouses with documented pipelines, then layer in streaming where decisions can't wait for a nightly batch — so analytics sits on a foundation built to hold it.

CAPABILITIES

Everything You Need to Succeed

Core capability

Data Warehousing & Lakehouses

Unified, governed warehouses and lakehouses on Snowflake, BigQuery, and Databricks that give every team one source of truth.

ETL/ELT Pipeline Engineering

Documented, monitored pipelines that move and transform data reliably — built to survive schema changes, not just the demo.

Real-Time Streaming

Kafka and streaming architectures for the data that can't wait for a nightly batch job to matter.

BI & Reporting

Interactive dashboards and self-serve reporting that turn raw tables into decisions people actually trust.

Data Governance & Quality

Lineage, access controls, and automated quality checks so 'which number is right' stops being a weekly argument.

Data Modelling & Architecture

Dimensional models and schemas designed around how your business actually asks questions, not a generic template.

IN FOCUS

A closer look at the work

Scattered → Unified

One source of truth, not five spreadsheets

We consolidate ERP, CRM, and operational data into a governed warehouse with documented lineage, so the number in the boardroom matches the number on the floor.

  • Governed warehouse or lakehouse
  • Documented data lineage
  • Pipelines that survive schema changes
Raw → Reportable

Dashboards your leaders actually open

We put real-time, interactive reporting on top of the foundation, so decisions are made on this morning's numbers instead of last month's export.

  • Real-time decision dashboards
  • Self-serve reporting for non-technical teams
  • Reporting cut from days to minutes

HOW WE WORK

A Process Built to Deliver

01

Audit the Data Estate

We map every source, assess data quality, and agree which gaps actually block the business before building anything.

02

Design the Foundation

We design the warehouse schema and pipeline architecture around the questions your business asks most.

03

Build & Govern

We build documented, monitored pipelines with quality checks and access controls baked in from the first load.

04

Report & Iterate

We ship dashboards your teams will actually use, then extend the foundation as new questions come up.

What You Get
  • Data audit with a prioritised integration roadmap
  • Governed data warehouse or lakehouse with documented schema
  • Monitored ETL/ELT pipelines with lineage and quality checks
  • Real-time or self-serve BI dashboards
  • Governance runbook and access-control model
Who It's For
  • Teams reconciling the same numbers by hand across departments
  • Operations leaders flying on reports that are always days late
  • Businesses migrating off spreadsheets onto a real data platform
  • Companies about to invest in AI/ML without a data foundation under it
Predictive Supply Chain Data Platform

Featured Case Study

Predictive Supply Chain Data Platform

Unified five siloed data sources — ERP, GPS, weather, port and incident logs — into a governed Snowflake warehouse with a real-time streaming layer.

TECHNOLOGIES

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Node.js
Python
PostgreSQL
Redis
GraphQL
AWSAWS
Google Cloud
AZMicrosoft Azure
Kubernetes
Terraform
TensorFlow
PyTorch
AIOpenAI
LangChain
Snowflake

COMMON QUESTIONS

Frequently Asked Questions

No. We build the integration layer around what you already run — ERP, CRM, spreadsheets — and unify the data without forcing a disruptive system replacement first.

Start Your Project

Let's work together,
get started.

Tell us about your project. We'll respond with a tailored proposal within 48 hours — no templates, no salesperson.

  • No commitment required
  • Response within 48 hours
  • Signed NDA on request

Ready to take your business to the next level? Send us a message and see how we can help.

Or email info@cmmb.com.my directly