How does QlikView compare to other BI tools for data visualization?

2 How does QlikView differ from other BI tools?

QlikView has some unique benefits when it comes to data visualization, such as allowing users to create custom and interactive visualizations without coding, providing high levels of flexibility and control over the layout, appearance, and behavior of the visualizations, supporting a wide variety of data sources and formats, enabling complex calculations and transformations on the data within the visualizations, and leveraging associative analysis to explore data from multiple angles.

3 What are the benefits of QlikView for data visualization?

QlikView offers several advantages for data visualization, such as enhancing user experience and engagement, improving data quality and accuracy, increasing data literacy and understanding, and facilitating data communication and collaboration. Users can interact with the data visualizations in a dynamic and intuitive way, customize them to their liking, validate and cleanse the data within the visualizations, use the associative analysis feature to identify and resolve inconsistencies and anomalies, learn from the data visualizations, gain insights that can support decision-making processes, share and distribute the data visualizations with others, and use them as a basis for discussion.

4 What are the challenges of QlikView for data visualization?

QlikView has some challenges for data visualization, such as requiring a significant amount of memory and processing power, as it stores the entire data set in memory. Additionally, users need to master the QlikView scripting language and expression editor to understand the logic and syntax of the associative analysis feature. Furthermore, its compatibility and integration with other BI tools and platforms is limited due to its proprietary data format and engine, which makes exporting and importing data and visualizations difficult. Finally, its cost and licensing complexity is high, as it charges users based on the number of documents, servers, and cores. This can make it expensive and complicated to deploy and maintain.

5 How to choose the best BI tool for data visualization?

When selecting the best BI tool for data visualization, it is important to compare and evaluate several factors, such as the data sources and formats you need to access and visualize, the data volume and complexity you need to handle and process, the data visualization types and styles you need to create and use, the data visualization features and functions you need to apply and perform, the data visualization goals and objectives you need to achieve and measure, the data visualization skills and knowledge you have and need to learn, as well as the data visualization budget and resources you have and need to spend. QlikView is not the only BI tool with data visualization capabilities. Tableau, Power BI, MicroStrategy, among others, present their own strengths and weaknesses for this purpose. Therefore, by taking into account all these factors you can find the best BI tool that suits your needs.