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SLA Data Analytics
"Need an SLA Data Analytics agreement for our Singapore-based fintech company that focuses heavily on real-time performance metrics and data security compliance, with specific provisions for handling financial data and cross-border data transfers to our Australian operations."
1. Parties: Identification and details of the service provider and client
2. Background: Context and purpose of the agreement
3. Definitions: Key terms used throughout the agreement including data analytics-specific terminology
4. Service Description: Detailed description of data analytics services to be provided, including scope and methodologies
5. Service Levels: Performance metrics, KPIs, and measurement methodologies for the analytics services
6. Data Protection and Security: PDPA compliance measures, security protocols, and data handling requirements
7. Term and Termination: Duration of the agreement and conditions for termination
8. Fees and Payment: Pricing structure, payment terms, and invoicing procedures
1. Change Management: Procedures for modifying services, algorithms, or data processing methods during the contract term
2. Disaster Recovery: Business continuity procedures and data backup requirements
3. Training and Support: Terms for additional support services and training provisions
1. Service Level Metrics Schedule: Detailed performance indicators, targets, and measurement methodologies
2. Pricing Schedule: Detailed breakdown of fees, charges, and payment milestones
3. Data Processing Agreement: Specific terms for personal data handling in compliance with PDPA
4. Security Requirements Schedule: Technical and organizational security measures required for data protection
5. Incident Response Plan: Procedures for handling security incidents and data breaches
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