Data Consultation - Data Analytics Journey 數據分析之旅數據諮詢
Modern Data Platform - Data Analytics Journey 數據分析之旅現代化數據平台
Machine Learning - Data Analytics Journey 數據分析之旅機器學習
Predictive Analysis - Data Analytics Journey 數據分析之旅預測分析

Data Analytics Journey

Phase 1 – Data Consultation

  • Define business objectives and KPIs
  • 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 data system to cloud lakehouse architecture data platform?
  • 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?
  • Ready to use for machine learning projects?

Keyword: Data Platform, Modelling, Security, Analysis

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Phase 3 – Machine Learning

  • Understand the business problem or objective
  • Data collection and preparation
  • ML model selection
  • Model training
  • Model validation
  • Model deployment

Keyword: Scoring System, Customer Segmentation

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Phase 4 – Prioritization of new Data Project

  • Prioritizing the project enhancement requests from different business users
  • Reviewing data project results and handling new initiative or enhancement
  • Rerun the cycle phase 1 to 3 for reading out scope of work

Keyword: Prioritization, Scope of Work

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