雅加达就业分类的商业智能政府数据

Kristian Wahyudi, Johanes Latupapua, Ritchie Chandra, A. S. Girsang, S. M. Isa
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引用次数: 0

摘要

作为政府提供的开放数据,公众可以获取并协助政府分析和寻找社区社会问题的解决方案。Jakarta Open Data共享就业数据,通过构建数据仓库,这些数据可以作为分析或推荐的起点。建议用于数据仓库的OLTP数据是基于现有就业类型的事务,将用于分析每个地区的就业和失业率。所提出的设计数据仓库的方法是使用Kimball的9步。数据仓库的选择过程是计算就业类型的数量,其维度为地区、教育类型、性别和就业类型。全区有街道和村三级区。过程和分析的结果将提供到某些报告和仪表板。仪表板将非常有助于直接为所有利益相关者或决策者提供高层次的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Business Intelligence for Employment Classification in Jakarta Government Data
As an open data which are provided by government, public can access and assist government to analyze and look for solution to social problems among communities. Jakarta Open Data shares employment data that is able to be starting point into analysis or recommendation by building data warehouse. OLTP data suggested for the data warehouse is the existing employment type based transactions, which will be used to analyze employment and unemployment rate in each region. The proposed method to design the data warehouse is using 9-steps from Kimball. The selected process for the data warehouse is calculating number of employment type, with dimensions of region, education type, sex and employment type. Region has 3 level area in sub-district and village. The result of process and analysis will be provided into certain reports and dashboard. Dashboard will be very helpful directly to provide high level data for all stakeholder or decision maker.
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