Metad Analytics Cloud is a data visualization analysis platform. It provides a powerful story dashboard function, which includes the ability to customize graphic logic. This capability allows users to use common open source graphics libraries to display and manipulate custom graphics.

ECharts is an open source JavaScript chart library that provides rich visual chart types and interactive features, including line charts, bar charts, pie charts, radar charts, and more. Meta-analysis cloud integrates ECharts and provides the ability to customize graphic widget logic in the story dashboard feature so that users can create and customize graphics in a more flexible way.

With the ability to customize graphic logic, users can customize and interact with graphs by writing JavaScript code according to their own needs and data characteristics. Users can define the appearance style of the chart, data processing logic, interaction behavior and so on.

This article shows you how to create a story dashboard using the semantic model and indicators created earlier. The 📖Story Dashboard feature in Metad Analytics Cloud is a visual reporting tool that helps users turn data into meaningful narratives. It is usually composed of a series of pages or slides, each of which can contain different charts, images, and text.

Final effect preview sales summary:

Metad analytics cloud relies on semantic models to have powerful indicator management functions, aiming to help users effectively manage and monitor indicators in data models. Metad analytics cloud builds a unified semantic modeling of enterprise data through a core OLAP engine, without cumbersome data conversion and ETL, and unifies the definition of indicators to manage and certify enterprise business data. Finally, through the indicator application and story dashboard provided by Metad analytics cloud, the indicators are used to analyze and evaluate the company's business and financial data.

This article will use the indicator management function of Metad analytics cloud to define a complete set of indicator management systems for the AdventureWorks Sales data model.

The semantic model in Metad Analytics Cloud provides rich role & access control functions to ensure the security and access control of data. These role permissions can be applied to multi-dimensional data sets, dimensions, hierarchies, and members to meet specific user needs.

In the Metad Analytics Cloud, two types of roles can be created: single role and composite role.

1. Single role: A single role is an independent role with specific permissions. Permissions to access multidimensional datasets, dimensions, levels, and members can be specified for a single role. This way, you can control the role's access to and manipulation of different levels in the data model.

2. Composite role: Composite roles are roles composed of multiple single roles. For example, a composite role can be created for a regional manager to allow access to a union of sub-regions in the sales dataset.

Through these role permission control functions, Metad Analytics Cloud provides flexible 🔐 Access Control mechanism, so that administrators can accurately manage the access permissions of data according to user roles and needs. This not only protects the security of sensitive data, but also ensures the compliance and privacy protection of data.

In today's data-driven era, harnessing data for in-depth analysis and insights has become crucial for businesses to gain a competitive advantage. Power BI is a widely popular business intelligence tool, while Metad Analytics Cloud serves as a powerful data analysis platform that offers comparable modeling capabilities to Power BI. This article will explore how to leverage the semantic modeling capabilities of Metad Analytics Cloud to achieve similar functionalities as Power BI, using the AdventureWorks Sales dataset for demonstration purposes.

Below is the data relationship model of the AdventureWorks Sales dataset in Power BI:

摘要​

本文将详细介绍元数分析云与 Doris 集群的集成，探讨如何利用元数分析云的多维建模和指标管理功能，充分发挥 Doris 集群 MPP 架构的数据并行计算能力，为用户提供强大的数据分析和查询解决方案。

最近两周，由 OpenAI 推出的自然语言处理模型 ChatGPT-4 在业界引起了极大的关注和讨论。这一模型不仅具有前所未有的规模和性能，还具有更高的准确性和更强的智能化。ChatGPT-4 的推出，将极大地推动自然语言处理技术的发展，改变人机交互的方式，为人类创造更多的机会和价值。Metad 分析云非常关注 ChatGPT 的发展，将其引入到自己的数据分析平台中，为企业用户提供更为智能、高效的数据分析和决策支持。

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元数分析云是一款免费的在线数据分析功能, 她可以通过代理连接用户内网数据源, 帮住用户进行多维数据建模和分析.

元数分析云还支持多维数据源(XMLA), 用户可以使用比 SQL 更专业的 MDX 语言进行数据查询和建模分析.

元数分析云的故事拥有丰富的组件类型, 使得用户可以进行灵活的数据展示.