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METADATA DRIVEN OLIVIER APPLICATIONS AND POWERFUL DATA INTEGRATION Olivier Express or A Olivier Technical Brief Document October 2012 vista.NL info vista.NL +31 74 2915208 Introduction This technical

How to fill out metadata driven qlikview applications

1. Start by understanding the purpose and benefits of metadata driven QlikView applications. These applications are designed to leverage metadata, or data about the data, to enhance user experience and enable advanced analysis.
2. Identify the key metadata elements that need to be captured for your QlikView application. These may include data source details, field descriptions, data quality indicators, data transformation rules, and visualization requirements.
3. Create a metadata repository, where you can centralize and manage all the metadata for your QlikView application. This repository can be a spreadsheet, a database, or a dedicated metadata management tool.
4. Document the data sources used in your QlikView application. Include information such as data source names, connection details, refresh schedules, and any specific requirements for accessing the data.
5. Define the individual fields in your QlikView application and provide detailed descriptions for each field. This can help users understand the purpose and content of each field, improving data understanding and analysis.
6. Capture data quality indicators and rules within the metadata. This includes defining validation rules, data cleansing requirements, and data transformation instructions to ensure the accuracy and consistency of the data.
7. Specify visualization requirements for your QlikView application. This can include defining charts, tables, and other visual elements that need to be included, as well as any specific formatting or layout guidelines.
8. Share the metadata with the relevant stakeholders involved in the development or analysis of the QlikView application. This can include business analysts, data architects, developers, and end users. Collaborate with them to gather their input and incorporate their requirements into the metadata.
9. Update and maintain the metadata as your QlikView application evolves. As new data sources are added, fields are modified, or visualization requirements change, ensure that the metadata reflects these updates to keep the application consistent and accurate.

Who needs metadata driven QlikView applications?

1. Organizations that deal with complex and diverse datasets can benefit from metadata driven QlikView applications. These applications provide a structured approach to manage and understand the data, enabling better decision-making.
2. Business analysts and data scientists who work with QlikView can leverage metadata driven applications to gain deeper insights and manipulate data more efficiently. The metadata provides valuable context and understanding of the data, enhancing their analytical capabilities.
3. Data governance and compliance teams can utilize metadata driven QlikView applications to ensure that data is managed and used in accordance with regulatory requirements and internal policies. The metadata can help track data lineage, validate data quality, and enforce data governance rules.
4. End users or business users who rely on QlikView for data analysis and reporting can benefit from metadata driven applications. The metadata simplifies data understanding and provides a user-friendly interface, making it easier for non-technical users to explore and analyze data.
5. IT teams responsible for managing and maintaining QlikView applications can utilize metadata to streamline development, deployment, and maintenance processes. The metadata provides a centralized knowledge base and can help in troubleshooting and enhancing application performance.

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