Introduction
In today’s data-driven world, organizations are constantly seeking powerful analytics platforms to gain valuable insights from their data. Two popular options in the market are Qlik Sense and Einstein Analytics. This blog aims to provide a comprehensive comparison between these two platforms based on their user interface, collaboration and sharing capabilities, deployment options, community support, latest updates, understanding of each platform, feature comparison, advanced analytics capabilities, and pricing.
Understanding Qlik Sense and Einstein Analytics
Qlik Sense
Qlik Sense is a self-service analytics platform that enables users to explore and visualize data, empowering organizations to make data-driven decisions.
Einstein Analytic
On the other hand, Einstein Analytics is embedded within the Salesforce ecosystem, providing advanced analytics capabilities to Salesforce users for analyzing CRM and external data.
User Interface
Qlik Sense offers a user-friendly and intuitive interface that enables users to easily create interactive visualizations and explore data through drag-and-drop functionality. Its interface is highly customizable, allowing users to arrange and design their dashboards according to their specific requirements. Qlik Sense provides a wide range of visualization options, including charts, graphs, and tables, which can be easily customized with colors, fonts, and other visual elements. The interface is designed to be responsive and adaptable to different screen sizes, providing a seamless experience across various devices.
Einstein Analytics also offers a user-friendly interface, particularly within the Salesforce ecosystem. It provides pre-built templates and workflows tailored to Salesforce users, allowing them to quickly access and analyze their CRM data. The interface emphasizes collaboration and data storytelling, providing guided analytics paths and interactive storytelling features that enable users to create compelling narratives with their data. While the interface may require some initial familiarization for new users, it offers a consistent and familiar experience for those already using Salesforce.
Advanced Analytics
Qlik Sense provides advanced analytics capabilities through its associative data model and powerful data modeling features. Users can perform complex calculations, create calculated fields, and apply statistical functions to their data. Qlik Sense also supports advanced data visualizations, such as heat maps, treemaps, and geographic maps, to enable deeper analysis and understanding of data patterns. Additionally, Qlik Sense integrates with external analytics and machine learning platforms, allowing organizations to leverage advanced analytics techniques and algorithms.
Einstein Analytics leverages AI and machine learning algorithms to provide advanced analytics capabilities. It offers predictive analytics, allowing users to build predictive models and make data-driven predictions based on historical data. Einstein Analytics also includes features like anomaly detection, which automatically identifies unusual patterns or outliers in data, and natural language processing (NLP) capabilities for querying data using conversational language. These advanced analytics features empower organizations to gain deeper insights, make more accurate predictions, and derive actionable insights from their data.
In summary, Qlik Sense offers a customizable and intuitive interface, associative data modeling capabilities, collaborative features, and flexible deployment options.
Feature Comparison
When comparing features, Qlik Sense and Einstein Analytics provide a range of capabilities that support data analysis and visualization. Qlik Sense excels in its associative data model, which enables users to explore data dynamically and discover unexpected insights by simply clicking on data points. It offers powerful data preparation tools, allowing users to clean, transform, and shape their data for analysis. Qlik Sense also provides a collaborative environment where users can share their insights, collaborate in real-time, and co-create dashboards and reports.
Einstein Analytics leverages AI and machine learning capabilities to deliver automated insights, predictive analytics, and recommendations. It utilizes the power of Salesforce Einstein, which enables users to uncover patterns, identify trends, and make data-driven predictions. Einstein Analytics offers advanced analytics features specifically designed for CRM data analysis, such as predictive lead scoring, customer segmentation, and forecasting. It also provides pre-built AI-powered apps and dashboards that offer industry-specific analytics solutions.
Deployment Options
Qlik Sense offers flexible deployment options, including on-premises, cloud, and hybrid deployments, providing organizations with the freedom to choose based on their specific requirements.
Einstein Analytics is primarily cloud-based, leveraging the power of the Salesforce platform to deliver scalable and secure analytics capabilities.
Pricing
The pricing models for Qlik Sense and Einstein Analytics encompass various factors, including deployment options, user licenses, and additional features.
Qlik Sense offers a flexible licensing structure, allowing organizations to choose between named and concurrent user licenses based on their specific needs. The pricing is typically based on a per-user basis, with different tiers available to accommodate varying user requirements.
On the other hand, Einstein Analytics follows a bundled pricing approach within Salesforce licensing, making it more accessible for existing Salesforce users. The pricing structure may include a base cost for the Salesforce platform, with additional fees for Einstein Analytics features and user licenses.
When considering pricing, organizations should also factor in the scalability of the platforms and any potential additional costs for advanced analytics capabilities or specialized integrations.
Scalability
Both Qlik Sense and Einstein Analytics offer scalability to accommodate the evolving needs of organizations. Qlik Sense supports scalability through its flexible deployment options. Organizations can choose to deploy Qlik Sense on-premises, in the cloud, or in a hybrid environment, allowing them to scale their infrastructure based on data volume and user demands. Qlik Sense employs a multi-node architecture that enables organizations to distribute the processing load and handle larger datasets as their analytics requirements grow.
Einstein Analytics, being a cloud-native platform, offers inherent scalability. It leverages the scalability and elasticity of the Salesforce platform, allowing organizations to handle large volumes of data and increasing user demands without infrastructure limitations. Einstein Analytics automatically scales resources as needed, ensuring optimal performance even with growing data volumes and user concurrency.
Security Features
Both Qlik Sense and Einstein Analytics prioritize the security of data and user access. They provide a range of security features to protect sensitive information and ensure authorized access to the analytics platforms.
Qlik Sense offers robust security measures such as data encryption, access controls, and user authentication protocols. The platform allows for granular control over data access and offers options for integrating with existing security frameworks within organizations.
Being tightly integrated with Salesforce, Einstein Analytics leverages the security features provided by Salesforce. This includes multi-factor authentication, data encryption, role-based access controls, and audit trails. Organizations can benefit from Salesforce’s strong security infrastructure to ensure the protection of their data.
It is important for organizations to carefully assess their security requirements and evaluate the security features provided by both platforms to make an informed decision based on their specific needs.
In conclusion, when considering the pricing aspect of Qlik Sense and Einstein Analytics, organizations should take into account the per user pricing models, licensing options, and the availability of security features. Additionally, organizations should evaluate the specific security measures offered by each platform to ensure their data protection and compliance with regulatory requirements.
Collaboration and Sharing:
Qlik Sense emphasizes collaborative analytics, enabling users to share insights, apps, and dashboards with others. It promotes a data-driven culture by allowing users to collaborate in real time and make informed decisions collectively.
Einstein Analytics also offers collaboration features, but it is primarily designed for collaboration within the Salesforce ecosystem.
Latest Version and Updates
Qlik Sense and Einstein Analytics continuously evolve with regular updates and new features.
Qlik Sense introduces enhancements through service releases and major version updates, incorporating user feedback and industry trends.
Einstein Analytics leverages the Salesforce release cycle, integrating with the latest Salesforce updates and providing seamless upgrades for its users.
Community Support
Both Qlik Sense and Einstein Analytics have active user communities, offering resources, forums, and knowledge-sharing platforms.
Qlik Sense’s community is larger and has a broader reach, providing extensive support and a wealth of user-generated content.
Einstein Analytics benefits from the Salesforce Trailblazer Community, offering dedicated support for Salesforce users.
Conclusion:
Hiring a Qlik Sense consultant and utilizing Qlik Sense administration services can greatly benefit organizations seeking powerful analytics platforms with specific strengths and target audiences. Qlik Sense excels in offering a user-friendly interface, collaborative capabilities, flexible deployment options, and extensive community support. By hiring a Qlik Sense consultant and leveraging Qlik Sense administration services, organizations can maximize the value and effectiveness of their Qlik Sense implementation.
A Qlik Sense consultant brings expertise in implementing and optimizing the platform according to specific organizational needs. They can provide guidance on user experience enhancements, collaboration features, and deployment strategies. Additionally, Qlik Sense administration services ensure the smooth operation and maintenance of the platform, including performance monitoring, security management, and troubleshooting.
While Qlik Sense shines in its user-friendly interface and collaborative capabilities, organizations may also consider Einstein Analytics for seamless integration within the Salesforce ecosystem, leveraging AI and machine learning for advanced CRM data analysis. However, the decision between Qlik Sense and Einstein Analytics should be based on careful evaluation of specific requirements, user base, and existing technology stack.
Ultimately, organizations can make an informed decision by considering factors such as user experience, collaboration needs, deployment preferences, community support, and pricing. By hiring a Qlik Sense consultant and utilizing Qlik Sense administration services, organizations can ensure a successful implementation that aligns with their unique needs and maximizes the benefits of the platform.
