SLA Data Analytics for Malaysia

SLA Data Analytics Template for Malaysia

This Service Level Agreement (SLA) for Data Analytics services is designed to comply with Malaysian law, particularly the Personal Data Protection Act 2010 and related regulations. It establishes the terms and conditions for the provision of data analytics services, including performance metrics, data protection requirements, service delivery standards, and compliance obligations. The document addresses specific Malaysian regulatory requirements while ensuring robust protection for data processing activities, clear service level commitments, and comprehensive performance monitoring mechanisms.

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What is a SLA Data Analytics?

The SLA Data Analytics agreement is essential for organizations in Malaysia seeking to formalize their data analytics service arrangements while ensuring compliance with local regulations. This document is typically used when engaging external data analytics service providers or establishing internal service level commitments for data analytics functions. It includes comprehensive provisions for service delivery standards, performance metrics, data protection measures, and compliance with Malaysian laws, particularly the Personal Data Protection Act 2010. The agreement is designed to protect both service providers and clients while ensuring clear accountability and measurable performance standards in data analytics operations.

What sections should be included in a SLA Data Analytics?

1. Parties: Identification of the service provider and client, including registered addresses and company registration numbers

2. Background: Context of the agreement and brief description of the data analytics services to be provided

3. Definitions: Detailed definitions of technical terms, service metrics, and key concepts used throughout the agreement

4. Scope of Services: Detailed description of the data analytics services, including specific deliverables and methodologies

5. Service Levels: Specific performance metrics, KPIs, and service level targets that the provider must meet

6. Data Protection and Security: Compliance with PDPA 2010 and security measures for data handling and processing

7. Data Ownership and Usage Rights: Clear definition of data ownership, usage rights, and intellectual property

8. Performance Monitoring: Methods and procedures for monitoring and reporting service performance

9. Fees and Payment Terms: Pricing structure, payment schedules, and related financial terms

10. Term and Termination: Duration of the agreement, renewal terms, and termination conditions

11. Confidentiality: Obligations regarding confidential information protection

12. Liability and Indemnification: Limitations of liability and indemnification provisions

13. Force Majeure: Provisions for unforeseen circumstances affecting service delivery

14. Governing Law: Specification of Malaysian law as governing law and jurisdiction

What sections are optional to include in a SLA Data Analytics?

1. Cross-Border Data Transfers: Required when data processing involves transfer of data outside Malaysia

2. Disaster Recovery: Detailed recovery procedures, needed for critical or high-volume data processing

3. Change Management: Procedures for implementing changes to services or requirements, useful for long-term or complex engagements

4. Training and Support: Details of training and support services, relevant when client staff need to interact with analytics tools

5. Subcontractor Requirements: Required when service provider plans to use subcontractors for parts of the service

6. Data Migration: Needed when initial data transfer or end-of-contract data migration services are required

What schedules should be included in a SLA Data Analytics?

1. Schedule A - Service Description: Detailed technical specifications of the data analytics services

2. Schedule B - Service Level Metrics: Detailed KPIs, measurement methods, and reporting requirements

3. Schedule C - Fee Schedule: Detailed pricing, payment terms, and any variable cost components

4. Schedule D - Data Security Requirements: Specific security protocols, standards, and compliance requirements

5. Schedule E - Data Processing Requirements: Detailed data handling procedures and compliance requirements

6. Schedule F - Technical Infrastructure: Specifications of technical infrastructure and system requirements

7. Appendix 1 - Contact Information: Key contacts and escalation procedures

8. Appendix 2 - Report Templates: Standard formats for performance and analytics reports

Authors

Alex Denne

Head of Growth (Open Source Law) @ Genie AI | 3 x UCL-Certified in Contract Law & Drafting | 4+ Years Managing 1M+ Legal Documents | Serial Founder & Legal AI Author

Jurisdiction

Malaysia

Publisher

Genie AI

Cost

Free to use
Relevant legal definitions
Relevant Industries

Financial Services

Healthcare

Retail

Manufacturing

Technology

Telecommunications

E-commerce

Insurance

Banking

Logistics

Education

Professional Services

Relevant Teams

Legal

Information Technology

Data Analytics

Compliance

Risk Management

Information Security

Operations

Procurement

Business Intelligence

Data Science

Relevant Roles

Chief Data Officer

Data Analytics Manager

Business Intelligence Director

Chief Technology Officer

Data Protection Officer

Compliance Manager

IT Director

Analytics Solutions Architect

Data Science Manager

Operations Manager

Procurement Manager

Legal Counsel

Risk Manager

Information Security Manager

Industries
Teams

Employer, Employee, Start Date, Job Title, Department, Location, Probationary Period, Notice Period, Salary, Overtime, Vacation Pay, Statutory Holidays, Benefits, Bonus, Expenses, Working Hours, Rest Breaks,  Leaves of Absence, Confidentiality, Intellectual Property, Non-Solicitation, Non-Competition, Code of Conduct, Termination,  Severance Pay, Governing Law, Entire Agreemen

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