Securely integrate Mixpanel with QlikView
Mixpanel gathers product usage data, including metrics like what features are being used most frequently, the number of active users, and when user engagement rises or drops. It also automatically collects data on all user actions and uses that data to provide a variety of useful insights, such as automatic suggestions for how to improve customer retention and lead acquisition. Since usage data is collected from the start, Mixpanel can also track newly defined metrics using historical data.
As a flexible business intelligence solution, QlikView services over 24,000 organizations around the world. The platform includes easy-to-use BI tools that facilitate the consolidation, searching, and visual analysis of your data for deeper business insights and better decision-making. Perhaps the most popular part of QlikView is the fact that it takes only minutes to learn how to use this highly intuitive platform, which offers an endless variety of querying capabilities without you needing to apply strictly defined structures to your data. Plus, QlikView is neatly packaged in a clean and simple user interface.
Popular Use Cases
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Mixpanel's End Points
Get any or all raw event data that has been collected by Mixpanel, including what events have occurred, when they happened, and any relevant properties about those events. Then, integrate this raw data with other data sources to get new or deeper usage analytics.
Retrieve data about a customer’s journeys through your funnel. This data contains the customer’s timeline from start to finish - including how many steps in the funnel the customer completed during that time - which can be used to identify which steps during a funnel most commonly include specific events, such as losing a customer.
Gather event data that is filtered into segments by an array of properties, such as date range, country, and specific search terms. Then, use that filtered Mixpanel data to get deeper, more detailed analytics into your product performance.
Mixpanel People Analytics
Track customer engagement data, including a customer’s name and email address, as well as the date and time they last accessed your product. This allows you to run predictive analytics, which can show when engagement will likely drop or increase based on historical engagement data.
Get retention data for a specific cohort of customers by tracking signups and other relevant events during a specified date range. Then, you can feed that Mixpanel data into your analytics to provide a more comprehensive view of your retention trends over time.
QlikView's End Points
QlikView Qlik Sense Data Analytics Platform
QlikView prides itself on being an 'agent of transformation' for businesses and organizations via the 'Qlik Sense' associative data analytics engine and artificial intelligence technologies. Moreover, the solution's multi-cloud architecture gives you the freedom to deploy whatever combination of on-premises, private cloud, or SaaS you want. Scale to the parameters you require with open APIs, data integration features, and flexible governance. QlikView empowers all team members — regardless of their technical skill levels — to participate in making better, data-driven decisions.
QlikView Data Integration
QlikView acquired Attunity to bring enterprise-level data integration and real-time analytics to its customers via a 'DataOps' approach to data integration. The platform automates data streaming, refinement, cataloging, and publishing to offers real-time data that's ready for analytics.
QlikView Embedded Analytics
QlikView's embedded analytics features allow you to seamlessly embed your QlikView analytics content and interactive dashboards within products, websites, portals, and applications. This empowers users and customers to access important information, metrics, and insights without needing to switch to a separate platform.
QlikView Developer Platforms
QlikView's developer platforms provide the tools your developers need to build, extend, and launch customized, data-driven apps and analytics. The solution offers native, cloud analytics development through the Qlik Core platform — which features an associative engine and open source libraries. This empowers developers to create interactive applications that you can deliver at any scale in any cloud-based architecture.