Phase 1 – Data Consultation
- On-prem to Cloud Solution
- Centralize Cloud Architecture Design
- Guidelines on industries’ best practice
- Data governance and security advisory
- Various database optimization solution
Keyword: Data Study, Architecture, Roadmap
Phase 2 – Modern Data Platform
- Ready to go from on-prem to cloud?
- Data sources are ready for cloud integration?
- Data models are ready for dynamic data visualization enhancement?
- Data governance and PII security implemented?
- Cloud optimization such as parallel process?
- Faster data access such as streaming data for application?
Keyword: Data Platform, Modelling, Security, Analysis
Phase 3 – Machine Learning
- Data models ready for Machine Learning
- Provided scoring system as customer scoring
- Abnormal detection on major variance & build case models
- Social listening NLP service for branding and customer sentiment
- Intelligent person count captured by IoT devices
Keyword: Scoring System, Customer Segmentation
Phase 4 – Predictive Analysis
- IoT walk-path analysis on customer journey
- Predictive model forecast & future prediction
- Recommendation engine based on phase 4 customer scoring and location-based data
- Intelligent IoT noise-data cleansing / filtering such as wireless device between floors
Keyword: Recommendation Engine, Planning Forecast
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