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

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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

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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

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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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