Step 08 · Local Context

Malaysia-Based Case Studies

Examine how Malaysian organisations connect data producers, platforms, responsibilities and users.

08Cases
Professional cases

Data ecosystems in Malaysia

Focus on the organisational need, stakeholders, information value and responsibility—not on detailed technology.

Five Malaysian data ecosystem case studies
Figure 8. Examples of data ecosystems supporting Malaysian public services and industries.
Primary case

Malaysia’s Official Open Data Ecosystem

data.gov.my connects ministries and public agencies that produce data with citizens, researchers, developers and organisations that use it. Datasets, dashboards and an official API illustrate how public information can be prepared and delivered responsibly.

Data producersMinistries, departments and public agencies
Data platformdata.gov.my
Data usersCitizens, students, researchers, developers and businesses
Key concernsAccuracy, timeliness, metadata, licensing, privacy and accountability
Explore data.gov.my ↗

PETRONAS Enterprise Data Hub

A shared enterprise data environment supports access to trusted information, organisational decision-making and regulatory responsibilities.

Read case study ↗

Asia Digital Engineering

Operational and engineering information supports maintenance activities, organisational dashboards and responsible decision-making.

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DELIMa

Malaysia’s digital learning environment connects millions of students and teachers across schools, administrators and national decision-makers.

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Astro

Customer and content data supports service relevance and personalisation while raising important questions about privacy and responsible use.

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Questions for every case

  1. Who generates the data?
  2. Who owns or is responsible for it?
  3. Who needs to use it?
  4. What organisational value does it create?
  5. What could happen if it is incorrect, late or unavailable?
  6. What privacy or access concerns should be considered?

A consistent framework for analysing every case

1. Organisational needWhat problem or service requires data?
2. Data producersWho or what creates the records?
3. Data ownerWho is accountable for the information?
4. Engineering workHow is the data collected, checked and prepared?
5. Data usersWho uses the prepared information?
6. Value and responsibilityWhat benefit and risk should be considered?