Qlik Sense (or QlikSense) is a popular business intelligence tool that allows organizations to easily analyze data and gain valuable insights. When it comes to large-scale implementation, an experienced QlikSense developer must possess a range of core skills to ensure success.
Qlik Sense Consultant – The FAS Standard
An experienced Qliksense consultant needs to have the following core skills for large scale data mining implementation at an enterprise level:
Strong understanding of data mining concepts: Qliksense is a powerful data mining tool that requires a deep understanding of data mining concepts such as data pre-processing, data transformation, data visualization, and data modeling.
Knowledge of Qliksense architecture: The consultant should be proficient in understanding the Qliksense architecture and how data flows through it. They should be able to design an optimal architecture for the enterprise that ensures high performance and scalability.
Data modeling: The consultant should be able to build efficient data models using Qliksense that can handle large volumes of data and support complex queries.
ETL processes: The consultant should be experienced in designing and implementing ETL processes using Qliksense that are reliable, scalable, and efficient.
Visualization: Qliksense provides a rich set of visualization tools that enable users to create interactive dashboards and reports. The consultant should be able to design effective visualizations that help users understand complex data easily.
Strong SQL skills: The consultant should have strong SQL skills to write complex queries that extract data from the data sources and transform it to the desired format.
Knowledge of data sources: The consultant should be familiar with various data sources such as databases, APIs, flat files, and web services. They should know how to extract data from these sources and transform it into a format suitable for analysis.
Performance optimization: The consultant should be able to optimize the performance of Qliksense applications by minimizing the data load times, reducing memory consumption, and improving the data model design.
Communication skills: The consultant should have strong communication skills to collaborate effectively with stakeholders, understand their requirements, and provide recommendations to address their data mining needs.
Project management skills: The consultant should have strong project management skills to lead the Qliksense implementation project, including creating project plans, tracking progress, managing resources, and resolving issues.
Qlik Sense Implementation – What FAS Solves
There are a few unique challenges to Business Objects implementation that may not apply to other software:
Complex data sources: Business Objects can connect to a wide variety of data sources, including both structured and unstructured data. This can make it more difficult to create a consistent data model across all data sources, and may require additional effort to integrate and cleanse data.
Large number of objects: Business Objects is known for its flexibility in creating reports and dashboards, which can lead to a large number of objects being created. This can make it challenging to manage and maintain the environment, especially if objects are not properly organized or documented.
Customization: Business Objects provides a lot of customization options, which can make it difficult to maintain a consistent look and feel across reports and dashboards. Additionally, customizations can sometimes make upgrades more challenging.
Security: Business Objects allows for complex security models, which can make it more challenging to set up and maintain proper security levels. This is especially true if there are multiple data sources and/or different levels of access required for different users.
Performance: Depending on the complexity of the reports and dashboards being created, Business Objects can require a significant amount of processing power and memory. This can lead to performance issues if not properly managed.
Qlik Sense Development – FAS Dev Team Proficiencies
One of the most critical skills for a QlikSense developer is the ability to create robust data models. These models are the foundation of any QlikSense implementation, and an experienced developer must be able to build them to handle large amounts of data while ensuring fast query response times. They should also have expertise in data extraction, transformation, and loading (ETL) processes, as this is often a crucial step in preparing data for use in QlikSense.
Another key skill for an enterprise-level QlikSense developer is the ability to design and build intuitive, visually appealing dashboards that are easy for end-users to navigate. They must have a strong understanding of user interface design principles and be able to translate business requirements into effective dashboard designs.
An experienced QlikSense developer must also be proficient in writing complex expressions and scripts. This includes knowledge of advanced scripting techniques such as data modeling, scripting, and optimization. They should also have a solid understanding of QlikSense’s scripting language, which is used to manipulate data, create calculated fields, and perform other tasks.
Finally, a QlikSense developer at the enterprise level must possess excellent communication skills. They will be working closely with stakeholders from various business units, and must be able to effectively translate technical concepts into business terms. They must also be able to work collaboratively with team members, and be able to manage projects and deadlines effectively.
In summary, a QlikSense developer at the enterprise level must possess a range of core skills to ensure successful large-scale implementation. These include the ability to create robust data models, design and build intuitive dashboards, write complex expressions and scripts, and communicate effectively with stakeholders.
