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.
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.
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:
