This document discusses things to consider before starting big data projects. It identifies key areas like infrastructure, licensing, development costs, talent acquisition, and change management. An effective big data team requires diversity of skills and a collaborative attitude. The document outlines components of a big data ecosystem including technology, talent, business processes, and governance. It emphasizes starting small, scaling projects gradually, and persevering through challenges.

1. things you need to know before
embarking Big Data Projects
Tengku Intan Narqiah Tengku Othman
22 October 2019

2. 10
Business
Problems
$ $ $Leadership
Dream
Team
Ecosystem Roadmap Partner
Start Small,
Scale fast
PerseveranceEngagement

4. 1

5. 22

6. 2

7. 1. Infrastructure (New & maintenance)
2. Licensing (Perpetual & Maintenance)
3. Development (Project and Ongoing)
4. Integration (Data sources)
5. Talent (Project, Developer, Analyst,
Support)
6. Facilities
7. Change Management (Roadshow, Posters,
Training, Celebrate success)
8. Consultation
3

8. 1. Diverse background and skills
2. Can do attitude
3. Non-Individualistic (ask for
help, volunteer to help)
4

9. 1
2
3
4
BIG DATA
ANALYTICS
TECHNOLOGY
TALENT
BUSINESS PROCESS
GOVERNANCE
• Infrastructure (Server, Network)
• Licensing
• System integrations (external and internal platforms)
• Internet of Things
• Security
• Big Data Platform
• Business Skills
• IT Skills
• Analytic Skills
• Change Management
• Process Automation
• Analytics System
Information Governance policies, procedure & systems:
• Regulatory compliance (Personal Data Protection Act
(PDPA), General Data Protection Regulation (GDPR))
• Data Management practices
5

10. 6

13. 7

14. Start Small, Scale fast8

16. 9
B RING
D EPARTMENT
A LTOGETHER

17. 10
Persevere – it is a journey
and a bumpy one too!