Qlik Sense - Detailed Review
Research Tools
Qlik Sense - Product Overview
Introduction to Qlik Sense
Qlik Sense is a powerful data analysis platform that enables users to explore, analyze, and visualize data in a highly interactive and intuitive manner.
Primary Function
The primary function of Qlik Sense is to provide an end-to-end data analytics solution. It allows users to ask and answer questions, follow their own paths to insight, and make data-driven decisions. The platform generates views of information on the fly, updating every visualization and view in the app based on user selections.
Target Audience
Qlik Sense is targeted at a wide range of users, from business analysts and data scientists to non-technical users across various organizations. It is particularly useful for teams and individuals who need to collaborate on data analysis and make informed decisions collaboratively.
Key Features
Associative Experience
Qlik Sense features an associative engine that indexes all the relationships in the data, allowing users to search and explore in any direction. This engine provides instant feedback using a green/white/gray metaphor, where selections are highlighted in green, associated data in white, and excluded data in gray.
Data Visualization and Exploration
Users can freely explore their data with just a few clicks, creating visualizations through a drag-and-drop interface. The platform supports smart data preparation, allowing users to combine data from multiple sources and receive AI recommendations for the best chart types and data associations.
Collaboration and Mobility
Qlik Sense enables seamless collaboration among colleagues, regardless of their location. All capabilities, including the associative experience, are available on mobile devices, ensuring that users can interact with and share analytics anywhere, online or offline.
Customization and Integration
The platform offers flexible APIs and SDKs for developing custom extensions, mashups, and clients. Users can build extensions using JavaScript, embed Qlik Sense objects in their own applications, and connect to custom data sources.
Governance and Security
Qlik Sense includes a high-performance, cloud-native architecture that delivers scalability, security, and governance. The Qlik Management Console allows administrators to configure, manage, and monitor Qlik Sense sites efficiently.
Additional Capabilities
- Advanced Analytics: Supports geographic visualization, calculations from R and Python, and other advanced analytics.
- Centralized Hub: Allows users to find, publish, and share analytics using governed collections of content.
- AI and Machine Learning: Continually improves relevance and provides context-aware insights through its cognitive engine.
Overall, Qlik Sense is a versatile and powerful tool that empowers users to make data-driven decisions by providing a flexible, collaborative, and highly interactive data analysis environment.
Qlik Sense - User Interface and Experience
User-Friendly Interface
Qlik Sense features a drag-and-drop interface that allows users to easily drag and drop data from various sources to create personalized, interactive reports and dashboards. This simplicity ensures that even non-technical users can generate meaningful insights without significant hassle.
Accessibility and Keyboard Navigation
The platform is designed with accessibility in mind, offering default color schemes with high contrast, keyboard navigation, and shortcuts. This makes it easier for users to interact with the hub, app overview, toolbar, sheets, data, and visualizations using a keyboard.
Touch Gestures and Mobile Compatibility
Qlik Sense supports touch gestures on mobile and hybrid devices, allowing users to interact with visualizations through long-touch menus and other touch-based actions. This enhances the user experience on smaller screens and touch-enabled devices.
Data Visualization and Interaction
The platform offers extensive data visualization capabilities, including various chart types and the ability to create on-the-fly charts. Users can interact with these visualizations through different UI components, such as the analytics/sheet and analytics/chart components, which provide a lightweight and performance-optimized experience.
Smart Search and Data Storytelling
Qlik Sense includes a smart search feature that helps users discover data associations quickly by typing in data-related keywords. Additionally, the data storytelling feature allows users to share their findings in a narrative form, making it easier to communicate complex data insights to stakeholders.
Ease of Use
Despite some users reporting a steep learning curve, the overall interface is responsive and intuitive. The drag-and-drop functionality and the ability to handle large volumes of data make it easier for users to create and interact with reports and dashboards.
Real-Time Data Intelligence
Qlik Sense provides real-time data intelligence, which enhances reporting capabilities and promotes a decision-making culture based on up-to-date insights. This real-time capability is a significant advantage for businesses needing current data to make informed decisions.
Undo and Redo Actions
Users can undo or redo actions using the user interface or keyboard shortcuts, especially when editing in sheet view or storytelling view. This feature adds to the overall ease of use and flexibility of the platform.
Conclusion
In summary, Qlik Sense offers a highly intuitive and interactive user interface that is accessible on various devices, including desktops, mobile devices, and touch screens. Its features, such as drag-and-drop functionality, smart search, and data storytelling, contribute to a positive user experience, although some users may face a learning curve and initial implementation challenges.
Qlik Sense - Key Features and Functionality
Qlik Sense Overview
Qlik Sense is a comprehensive business intelligence and analytics platform that integrates several key features, including advanced AI and machine learning capabilities, to facilitate data analysis and decision-making. Here are the main features and how they work:
Associative Data Model
Qlik Sense uses an associative data model, which allows users to link and associate data from various sources dynamically. This model enables users to explore data intuitively, making associations on the fly to uncover hidden insights and relationships. The data is displayed using a color scheme, where selected values are green, associated values are white, and unrelated values are grey.
Smart Visualizations and Analytics
Qlik Sense offers advanced and interactive visualizations that respond quickly to user selections. These visualizations are aesthetically pleasing and flexible, adjusting to different screen sizes. The platform also includes Qlik GeoAnalytics, which provides advanced mapping visualizations and calculations.
Self-Service Creation
This feature allows users to build applications and load data easily using drag-and-drop functionality, eliminating the need for scripting and queries. This is particularly useful for non-technical users, enabling them to create and manage Qlik Sense applications based on their skills and requirements.
Centralized Sharing and Collaboration
Qlik Sense enables centralized sharing and collaboration through a unified hub. Users can share reports and applications with others, either individually or in groups, ensuring smooth collaboration within teams or across different firms. This feature supports sharing from various Qlik environments, including QlikView and Nprinting.
Data Storytelling and Reporting
Qlik Sense has a data storytelling capability that provides intelligent, in-context commentary for data analytics visuals. This feature helps create a comprehensive data story, giving analysts a clear perspective on the data. Reports and analyses can be saved, printed, and exported in various formats like PDF, PowerPoint, and Excel.
Insight Advisor
The Insight Advisor uses machine learning algorithms to analyze patterns in the data and suggest relevant insights, associations, and visualizations to users. This feature proactively guides users through the analysis process, helping them uncover hidden insights and trends within their data.
QIX Engine
The QIX engine is the backbone of Qlik Sense, enabling fast and dynamic data associations and calculations. It ensures that associations and calculations are updated quickly, even with large datasets, providing a seamless user experience.
Embedded Analytics
Qlik Sense allows organizations to integrate analytics into existing applications, websites, and portals. This embedded analytics capability enables users to access insights directly within their familiar workflows, enhancing productivity and decision-making by providing relevant data at the point of action.
Application Automation
Users can build automation workflows and trigger event-driven actions in Qlik Sense and other cloud applications through a visual, low-code environment. This feature includes a broad library of connectors to cloud applications, streamlining automated processes.
AI and Machine Learning Integration
Qlik Sense integrates AI and machine learning as foundational services, not as add-ons. This includes features like Qlik Answers, which can be integrated with other AI models such as OpenAI ChatGPT, Google Gemini, and Amazon Bedrock. The platform’s AI-driven capabilities help in automating insights, suggesting relevant data associations, and enhancing the overall analytics experience. The Insight Advisor, for example, uses machine learning to provide context-aware suggestions and recommendations to users.
Data Catalog
Qlik Sense offers a well-governed, self-service data catalog that makes it easy to find the right data and understand its origin and journey. This ensures that users can trust and confidently use their data for analysis.
Collaboration and Notes
Users can add narrative and context to analytics through notes and discussion threads, facilitating team decision-making by providing critical business context. This feature enhances collaboration around data, ensuring that all stakeholders have the necessary information for informed decisions.
These features collectively make Qlik Sense a powerful tool for data analysis, collaboration, and decision-making, with AI and machine learning playing a significant role in enhancing user experience and insights.
Qlik Sense - Performance and Accuracy
Performance
Qlik Sense can experience performance issues, particularly with large and complex applications. Here are some key points:
App Size and Load Time
Large applications, such as those mentioned in the context of having sizes around 5 GB, can lead to significant load times. For instance, an app might take 30-40 seconds to open on a particular node, which can be frustrating for users.
Node Configuration
The configuration of multiple RIM (Reload, Integration, and Management) nodes can sometimes hinder performance. If a user is load-balanced across different nodes, it may result in the app loading as if it were the first time, affecting user experience.
Data Models and Granularity
Optimizing app performance involves simplifying data models, removing synthetic keys and circular references, and ensuring the appropriate granularity of data. Loading only necessary data can help reduce memory usage and improve performance.
Accuracy
Accuracy in Qlik Sense is generally high, but there are some limitations and areas to consider:
Data Types and Sources
Qlik Sense supports a wide range of data types and sources, but there are specific limitations. For example, Direct Discovery has limitations with certain data types, advanced calculations, and specific database schemas. Features like set analysis, calculated dimensions, and comparative analysis may not be supported in all scenarios.
Data Preparation
While Qlik Sense offers strong data preparation and integration capabilities, certain features like data preparation in the Data manager or offline mobile iOS app functionality may have restrictions when using Direct Discovery.
Limitations and Areas for Improvement
Feature Comparisons
Qlik Sense is distinct from QlikView and does not necessarily include all the features of its predecessor. For example, actions and input boxes are missing in Qlik Sense, which might be a consideration for users migrating from QlikView.
Specific Functionality
Certain advanced analytics features, such as those involving synthetic keys, circular references, or high-cardinality joins, may require careful handling to avoid performance issues.
Best Practices
To optimize performance and accuracy in Qlik Sense:
- Regularly analyze and optimize app performance using tools like the QSDA Pro tool.
- Ensure data models are well-designed and free of synthetic keys and circular references.
- Use appropriate data granularity and load only necessary data.
- Be aware of the limitations of features like Direct Discovery and plan accordingly.
By following these guidelines and being mindful of the potential limitations, users can maximize the performance and accuracy of Qlik Sense in their analytics workflows.
Qlik Sense - Pricing and Plans
The Pricing Structure of Qlik Sense
The pricing structure of Qlik Sense is segmented into several plans, each catering to different needs and user bases. Here’s a breakdown of the main plans and their features:
Analytics Platform Pricing
Standard Plan
- Cost: $825 per month (billed annually).
- Users: Includes 20 full users who have complete application capabilities, including creating and managing analyses and visualizations.
- Data Capacity: Starts at 25 GB of data for analysis.
- Features: Includes interactive data visualizations, dashboards, automated report compilation and delivery, augmented analytics with advanced AI, and no-code automation builder. It also offers 24×7 critical customer support.
Premium Plan
- Cost: $2,500 per month (billed annually).
- Users: Includes 20 full users and up to 100,000 basic users who can view and interact with reports.
- Data Capacity: Starts at 50 GB of data for analysis.
- Features: Includes all features from the Standard Plan, plus predictive analytics with automated machine learning, enterprise-grade data governance, and guided customer success onboarding. It also allows connecting additional data sources, including cloud, SAP, mainframe, and legacy systems.
Data Integration and Quality Pricing
- This plan is focused on automated, governed, real-time data pipelines and advanced data quality tools.
- Pricing: Costs typically scale with the volume of data and the complexity of integrations. Custom quotes are required from the Qlik sales team.
AI/ML Product Pricing
- This plan integrates advanced AI and ML capabilities for predictive and prescriptive analytics.
- Pricing: Costs depend on the extent of AI/ML integration and the computational resources required. Custom quotes are necessary from the Qlik sales team.
Other Plans
Qlik Sense Business
- Cost: $30 per user per month, billed annually.
- Features: This plan is for individuals and teams, offering self-service analytics, interactive dashboards, and other core features.
Qlik Sense Enterprise
- This plan is for larger organizations and includes comprehensive features such as custom and embedded analytics, mobile analytics, and reporting. The pricing for this plan is not specified in the sources and may require a custom quote.
Free Options
- There is no free version of Qlik Sense Desktop available; only a 30-day trial is offered. Previously, a free version was available but was discontinued in December 2019. However, Qlik does offer a free trial for its cloud services, allowing users to test the platform before committing to a purchase.
Qlik Sense - Integration and Compatibility
Qlik Sense Overview
Qlik Sense is a versatile and integrated analytics platform that offers several ways to connect with various tools and ensures compatibility across different platforms and devices.
Data Preparation and Integration
Qlik Sense provides comprehensive data preparation and integration capabilities, allowing users to work with a wide range of data sources. This includes the ability to connect to numerous databases, cloud services, and other data repositories, making it easy to combine and analyze diverse datasets.
Application Automation and Connectors
Users can build automation workflows and trigger event-driven actions within Qlik Sense and other cloud applications using a visual, low-code environment. This is facilitated by a broad library of connectors to cloud applications, enabling seamless integration with other tools and services.
AI and Machine Learning Integration
Qlik Sense integrates well with third-party AI and machine learning tools. Users can leverage models from platforms like Google Cloud AutoML, H2O.ai, Dataiku, DataRobot, and Microsoft’s Azure AutoML to enhance predictive analytics capabilities. This integration allows users to build, deploy, and use machine learning models directly within their Qlik Sense dashboards without requiring deep expertise in machine learning.
API and Data Connector Integration
For AutoML integration, users can utilize APIs provided by AutoML platforms to push data from Qlik Sense, train models, and then pull predictions back into Qlik Sense. Additionally, pre-built connectors or plugins for popular data visualization platforms can be used. Users can also export data from Qlik Sense, build and evaluate models using an AutoML tool, and then import the results back into Qlik Sense for further analysis.
Cross-Platform Compatibility
Qlik Sense is compatible with various browsers and operating systems. On Microsoft Windows, it supports Microsoft Edge, Google Chrome, and Mozilla Firefox (with hardware acceleration). It is also compatible with the latest iOS versions and can be accessed on supported Microsoft Windows and Windows Server machines.
Cloud and On-Premise Compatibility
For users with both on-premise and SaaS versions of Qlik Sense, compatibility is maintained as long as the on-premise version is either the current version or one of the immediately preceding versions. This ensures smooth interaction between the on-premise and cloud environments.
Collaboration and Accessibility
Qlik Sense enhances collaboration through features like notes and discussion threads, allowing teams to interact around data and add narrative context to analytics. This ensures that all stakeholders have the necessary business context for informed decision-making.
Conclusion
In summary, Qlik Sense offers extensive integration capabilities with various tools and platforms, ensuring it can be used effectively across different devices and environments. Its compatibility with multiple browsers, operating systems, and cloud services makes it a versatile solution for data analytics and business intelligence.
Qlik Sense - Customer Support and Resources
Qlik Sense Customer Support Options
Qlik Sense offers a comprehensive array of customer support options and additional resources to ensure users can effectively utilize the platform for their data visualization and analytics needs.
Support Channels
Qlik Community, Forums & Knowledge Base
The Qlik Community is your first line of support, where you can find answers to common questions, best practice guides, and solutions through the enhanced Knowledge Base. You can search for content using the global search bar, filter by product, and browse through various tabs including the community, Help Site, and YouTube channel.
Live Chat
Qlik provides a live chat service where you can get instant answers from a chatbot or have a live agent troubleshoot issues in real time. For more complex issues, the chat service will help create a support case on your behalf through guided intake questions.
Qlik Support Case Portal
You can manage and track your active support cases through the Case Portal. Creating a new case is easiest via the live chat, which will log your case with step-by-step intake questions.
Phone Support
For high-severity production-down concerns, especially when other support channels are down for maintenance, you can contact Qlik via phone. Different phone numbers are available for various regions and products, such as Qlik Data Analytics, Qlik Data Integration, and Talend.
Additional Resources
Blogs and Ideation
Qlik maintains blogs and an ideation section where users can share ideas and engage with the community to improve the product and services.
Qlik Learning Portal
This portal offers self-paced online courses, pre-training assessments, and post-training qualifications and certifications to help users improve their skills with Qlik Sense.
Qlik Continuous Classroom
This is a self-paced learning platform that provides all the learning resources you need to be successful with Qlik Sense, accessible anytime and anywhere.
Qlik Help and Documentation
Official product documentation, videos, and a customer onboarding hub are available to support your use of Qlik Sense.
Qlik Download Site
Here, you can find software installer files and other materials for Qlik Sense and QlikView.
Qlik Meetups and Community Events
Participate in Qlik Meetups, which range from small groups discussing innovations to large gatherings with demos and deep dives, to connect with other users and stay updated on best practices.
Qlik Resource Library
This library includes thought leadership articles, best practice guides, and analyst points of view to help you make the most out of Qlik Sense.
Professional Services
For more specialized needs, Qlik offers Professional Services that include training, planning, implementation, performance improvement, and other expert help. You can reach out to your Account Manager or Customer Success Manager for these services.
By leveraging these support channels and resources, users of Qlik Sense can ensure they are well-supported and equipped to maximize the benefits of the platform.
Qlik Sense - Pros and Cons
Advantages of Qlik Sense
Qlik Sense offers several significant advantages that make it a powerful tool in the data analytics and visualization space:
Data Integration and Linking
Qlik Sense simplifies data integration and linking through its associative model, allowing users to work with a wide range of data sources, both big and small.
User-Friendly Interface
The platform provides a responsive and intuitive interface that enables users of all skill levels to easily navigate and interact with the data, enhancing the overall user experience.
Data Visualization and Discovery
With features like augmented graphics and data discovery, Qlik Sense helps spread data literacy, allowing users to draw meaningful insights from data intuitively. It also includes a drag-and-drop interface for easy chart creation.
Real-Time Data Intelligence
Qlik Sense offers real-time data intelligence, promoting a decision-making culture based on insights and enhancing reporting capabilities.
Scalability and Performance
The software is capable of handling large volumes of data and provides efficient scalability, allowing multiple users to work on the same application simultaneously. Its multi-cloud architecture ensures optimum performance in areas like data security, scalability, and processing.
Collaboration and Sharing
Qlik Sense features a centralized hub for collaboration and sharing information, data, reports, and applications among users. It also supports real-time collaboration and discussion threads around data.
Custom Application Development
The platform allows for custom application development through embedded analytics, open standard APIs, and development tools. This is particularly beneficial for developers who need to customize the platform to specific needs.
Security and Reporting
Qlik Sense provides flexible and robust security provisions and makes reporting easier with features like report sharing in various formats (PDF, XLS, PowerPoint) and data storytelling.
Disadvantages of Qlik Sense
Despite its many advantages, Qlik Sense also has some notable limitations:
Client-Side Issues
Some features may malfunction on iOS devices, and there are issues with saving qvf and qvw files separately. Additionally, there are problems with screen size adjustments and other impairments on mobile devices.
Performance and Memory
The software can consume more than usual memory space while in analysis mode, slowing down processing and hindering proper functioning. Complex dashboards can also require significant processing power, potentially slowing performance.
Data Loading Issues
Users have encountered problems loading data in the script or data load editor, including issues with ODBC connections and exporting data from sheets.
Software Stability
The software can sometimes hang or become unresponsive in edit modes of scripts or storytelling, and there are glitches in the Qlik Engine related to loading, reloading, and error messaging.
Customer Support
Some users have reported dissatisfaction with the level of customer support provided by Qlik, including difficulty in reaching support staff and unresolved issues.
Initial Implementation Cost
The upfront cost of implementing Qlik Sense can be a significant barrier for some businesses.
Learning Curve
Qlik Sense can be complex to learn and master, particularly for users who are not familiar with data analytics tools.
Limited Formatting Options
Users have noted that Qlik Sense could offer more options for formatting visualizations and text within tables and charts.
Language Support
The storytelling feature has limitations, such as not fully supporting languages like Japanese and Chinese.
By understanding these pros and cons, users can better evaluate whether Qlik Sense meets their specific needs and expectations in the realm of data analytics and visualization.
Qlik Sense - Comparison with Competitors
When Comparing Qlik Sense to Other AI-Driven Business Intelligence Tools
Qlik Sense Unique Features
- Associative Data Model: Qlik Sense stands out with its proprietary associative engine, which automatically maintains relationships between all data points. This allows users to explore data from any angle without predefined hierarchies or relationships, using a color-coded system (green, white, and gray) to highlight related, selected, and unrelated data.
- Dynamic Exploration: The platform’s dynamic exploration capability enables users to uncover hidden insights and unexpected data relationships that traditional hierarchical models might miss.
- Advanced Augmented Analytics: Qlik Sense integrates AI-powered insights that automatically generate visualizations, reveal hidden patterns, and suggest analysis paths, helping users discover correlations and anomalies without advanced statistical knowledge.
- Platform-Agnostic Integration: Qlik Sense offers flexible deployment options and broad compatibility across different systems, making it suitable for integration with various enterprise systems.
Comparison with Power BI
- Interface and Integration: Power BI has a familiar ribbon-style interface for Windows and Office users, integrating seamlessly with the Microsoft ecosystem. In contrast, Qlik Sense has a clean, minimalist interface but may have a steeper learning curve due to its associative data model.
- Data Engine: Power BI uses a columnar database engine optimized for memory and disk-based analytics, while Qlik Sense employs its proprietary associative engine for in-memory processing.
- Visualization and Analytics: Both tools offer rich libraries of visualizations, but Power BI leverages Microsoft’s AI and machine learning capabilities, whereas Qlik Sense focuses on interactive visualizations that respond dynamically to user selections.
Potential Alternatives
Tableau
- Data Visualization: Tableau is known for its strong data visualization capabilities and ease of use. It offers a drag-and-drop interface and supports a wide range of data sources. However, it does not have the same level of associative data modeling as Qlik Sense.
- Integration: Tableau integrates well with various data sources but may not offer the same level of platform-agnostic integration as Qlik Sense.
Google Data Studio
- Cloud-Based: Google Data Studio is a cloud-based tool that integrates well with Google’s ecosystem, similar to how Power BI integrates with Microsoft’s. It offers real-time data visualization but lacks the advanced associative data model of Qlik Sense.
- Ease of Use: It is known for its simplicity and ease of use, making it accessible to non-technical users, but it may not offer the same depth of analytics as Qlik Sense.
Other Considerations
- User Community and Support: Qlik Sense has an active user community, though smaller compared to Power BI, which benefits from Microsoft’s massive user base and extensive partner network.
- Security: Both Qlik Sense and Power BI offer strong security frameworks, with Qlik Sense providing granular controls and robust authentication options, and Power BI leveraging Microsoft’s enterprise-grade security infrastructure.
Conclusion
In summary, Qlik Sense is unique in its associative data model and dynamic exploration capabilities, making it a strong choice for organizations needing deep, interactive data analysis. However, for those deeply invested in the Microsoft ecosystem or requiring strong integration with Azure services, Power BI might be a more suitable option. Other tools like Tableau and Google Data Studio offer alternative approaches to data visualization and analytics but lack the specific strengths of Qlik Sense’s associative model.
Qlik Sense - Frequently Asked Questions
Frequently Asked Questions about Qlik Sense
1. What are the strengths and limitations of Qlik Sense?
Qlik Sense is known for its interactive and user-friendly interface, allowing users to create dynamic dashboards and visualizations easily. Strengths include its ability to connect and combine data from numerous sources, augmented analytics with advanced AI, and strong collaboration features. However, limitations can include a steep learning curve for advanced features, the need for significant data preparation, and potential performance issues with large datasets.2. How does Qlik Sense differ from QlikView?
Qlik Sense and QlikView are both business intelligence tools from Qlik, but they serve different purposes. Qlik Sense is more modern and user-friendly, offering a self-service analytics approach with a focus on cloud and mobile capabilities. QlikView, on the other hand, is more traditional and often used for guided analytics, with a stronger emphasis on IT-driven reporting and analysis.3. What is the associative data model of Qlik Sense?
The associative data model in Qlik Sense allows users to explore data freely without predefined queries or data hierarchies. This model enables users to make selections and see associated data in real-time, facilitating a more flexible and intuitive data analysis experience.4. How do you connect Qlik Sense to a SQL database?
To connect Qlik Sense to a SQL database, you need to set up a data connection within Qlik Sense. This involves creating a new connection in the Data Load Editor, specifying the database type, server, and credentials. Once connected, you can load data from the SQL database into your Qlik Sense application.5. What is Qlik Management Console (QMC), and what is its purpose?
The Qlik Management Console (QMC) is a web-based management interface for Qlik Sense Enterprise. It allows administrators to manage and monitor the Qlik Sense environment, including user access, licenses, apps, and system performance. The QMC is essential for maintaining and optimizing the Qlik Sense deployment.6. How do you create a dashboard in Qlik Sense?
Creating a dashboard in Qlik Sense involves several steps. First, you load your data into Qlik Sense using the Data Load Editor. Then, you create sheets and add various visualizations such as charts, tables, and maps. You can customize these visualizations and arrange them to create a meaningful and interactive dashboard.7. What are bookmarks in Qlik Sense, and how do you create one?
Bookmarks in Qlik Sense allow users to save specific selections and views of their data for easy recall later. To create a bookmark, users make the desired selections in their app, then use the bookmark feature to save the current state. This helps in quickly accessing frequently used views and sharing them with others.8. How do you restrict fields for certain users in Qlik Sense?
To restrict fields for certain users in Qlik Sense, you can use section access and data reduction techniques. Section access allows you to control what data users can see based on their user IDs or roles. You can also use data reduction to limit the data available to specific users, ensuring that sensitive information is only accessible to authorized personnel.9. What is the difference between a KPI and a metric in Qlik Sense?
In Qlik Sense, a Key Performance Indicator (KPI) is a measurable value that demonstrates how effectively an organization is achieving key business objectives. A metric, on the other hand, is a specific measurement used to track and analyze performance. KPIs are often based on multiple metrics and are used to provide a high-level view of performance, while metrics provide detailed measurements.10. How do you apply Year to Date (YTD) in Qlik Sense?
To apply Year to Date (YTD) in Qlik Sense, you can use set analysis or calculated fields. For example, you can create a calculated field that sums up values from the beginning of the year to the current date. This can be achieved using Qlik Sense’s set analysis functions, such as `Sum({$ Qlik Sense - Conclusion and Recommendation
Final Assessment of Qlik Sense
Qlik Sense is a powerful and versatile business intelligence (BI) tool that stands out in the AI-driven product category due to its comprehensive set of features and capabilities.Key Benefits
- Data Integration and Associative Model: Qlik Sense excels in data integration, using its associative model to link and associate data from various sources, enabling users to draw meaningful insights quickly and intuitively.
- Interactive Analytics and Visualization: The platform offers advanced, interactive visualizations and smart analytics, including geographical and advanced calculations, which help users analyze data from multiple perspectives. The visualizations are highly responsive and adaptable to different screen sizes.
- AI and Machine Learning: Qlik Sense incorporates AI and machine learning capabilities, such as Qlik AutoML and Qlik Answers, which automate predictive analytics, generate machine learning models, and provide explainable insights from unstructured data.
- Self-Service Creation: The tool is user-friendly, allowing non-technical users to create applications, visualizations, and BI solutions through drag-and-drop features and machine-guided analytics.
- Mobility and Accessibility: Qlik Sense is compatible with various devices, including desktops, tablets, laptops, and mobile phones, making data analysis and management accessible anywhere, anytime.
- Centralized Sharing and Collaboration: It provides a centralized hub for sharing reports, applications, and data, facilitating collaboration among team members and across different organizations.
- Enterprise Governance and Scalability: The platform ensures data safety, monitoring, and centralized management through the Qlik Management Console (QMC) and supports elastic scaling to handle large amounts of data efficiently.
Who Would Benefit Most
Qlik Sense is highly beneficial for a wide range of users and organizations, particularly those in industries such as:- Computer Software and Information Technology: Companies needing advanced data analytics and integration.
- Healthcare and Financial Services: Organizations requiring secure, scalable, and compliant data management.
- Retail, Banking, and Pharmaceuticals: Businesses that need to analyze customer trends, market data, and operational metrics.
- Telecommunications and Computer Hardware: Firms that require real-time data analysis and predictive analytics.