Odoo BI

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Open Object Business Intelligence system aims to be a full featured open source Business Intelligence system written in Python. It implements a HOLAP (Hybride OLAP = ROLAP + MOLAP) cube and a MDX query engine based on SQLAlchemy.
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odoo BI
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[[文件:Odoo-logo.png|right|odoo]]
  
 
==简介==
 
==简介==
 
[[Artificial intelligence|人工智能]]驱动下的[[Business intelligence|商业智能]]
 
[[Artificial intelligence|人工智能]]驱动下的[[Business intelligence|商业智能]]
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Open Object Business Intelligence system aims to be a full featured open source Business Intelligence system written in Python. It implements a HOLAP (Hybride OLAP = ROLAP + MOLAP) cube and a MDX query engine based on SQLAlchemy.
  
 
==概念==
 
==概念==
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==集成==
 
==集成==
集成[[Apache Kylin]]
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*集成[[Apache Druid]]
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*集成[[Apache Kylin]]
  
 
==图集==
 
==图集==
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[[category:odoo]]
 
[[category:odoo]]
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[[category:e3 odoo]]
 
[[category:business intelligence]]
 
[[category:business intelligence]]
 
[[category:python]]
 
[[category:python]]

2022年3月12日 (六) 02:15的最后版本

odoo BI

odoo

目录

[编辑] 简介

人工智能驱动下的商业智能

Open Object Business Intelligence system aims to be a full featured open source Business Intelligence system written in Python. It implements a HOLAP (Hybride OLAP = ROLAP + MOLAP) cube and a MDX query engine based on SQLAlchemy.

[编辑] 概念

  • Schema: A schema is a collection of N dimensions. It's the meta description of cubes.
  • Hierarchy: A schema is divided in hierarchy, which are divided in dimensions.
  • Dimension: A dimension is an attribute, or set of attributes. A dimension is divided in levels.
  • Level: One level of sub-categories defined by dimensions.
  • Measure: Meta data of the quantity your are measuring.
  • Cube: A cube is a collection of N axis. A cube is an instance of a schema. A cube is mapped to a ‘SQL’ query through the use of his axis.
  • Member: A member is a point within a dimension determined by a particular set of attribute values.
  • Axis: An axis is composed by one or a set of members.
  • Value: A value is an instance of a measure.

The cube will use:

[编辑] 功能

统计分析/生成报告

  • 表式图

利用完全适应您研究领域的单一表格即可概览所有数据

  • 柱状图、折线图和饼图

针对相同数据在不同视图风格间转换,以便获得最具说明性的视图。

  • 筛选数据

利用内置筛选条件在您的搜索字段内收集信息,并创建之后可保存和使用的自定义筛选条件。

  • 导出数据

轻击几下即可从收集的数据中创建 Excel表格文件。

  • 定制版面

创建自定义版面,仅包含您认为与自己业务更为相关的信息,轻轻一击,即可访问。

  • 保存

创建筛选条件并将其保存在收藏夹列表中,以便之后随时访问。

[编辑] 模块

[编辑] 指南

[编辑] 项目

[编辑] 集成

[编辑] 图集

[编辑] 链接

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