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鄭君伍
Google BiqQuery Clustering分群分析
Google BiqQuery Clustering分群分析
Google BiqQuery Clustering分群分析
By
鄭君伍
資深資料科學家、商業分析師與商業開發運營主管
・
Taipei City, Taiwan
Connect
使用GCP Big Query,對Open Source data - GA 360(Google Analytics Sample)進行分析,針對各大洲地區的使用者分為四類 : 中產階級族群、高消費族群(潛力消費者)、衝動消費族群(核心消費者)、小資族群等等 利用先驗演算法Apriori計算出各族群喜好購買產品類別組合,並依每類型產品投放數位廣告的費用,計算各族群喜好產品組合的ROI,由此得出最大獲利的組合與各地區針對消費者族群主打商品策略。 根據結果提出線下訂閱制服務與新零售策略報告。
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鄭君伍
Connect
Published: Mar 5th 2021
73
3
0
BigQuery
GCP
Data Visualization
Data Analysis
clustering model
Machine Learning
Python
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