Fullstory helps companies record and analyze their customer communications by recording user sessions, providing detailed step-by-step logs of everything customers did during their sessions and storing that information for later retrieval and analysis. Fullstory can then be searched for specific events, including link usage, rage clicks or dead clicks. In addition to data on individual sessions, Fullstory can also retrieve analytics on aggregate customer behavior, showing the most clicked items, the most rage clicked areas, the most navigated to sites, etc.
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
Bring all your Fullstory data to Amazon Redshift
Load your Fullstory data to Google BigQuery
ETL all your Fullstory data to Snowflake
Move your Fullstory data to MySQL
Fullstory's End Points
Provide a user ID and/or email address to get a list of every session associated with a specific user up to the defined limit. Entries in that list include the user ID and email address, the time the session occurred, and the Fullstory session URL, all of which can be used to access the data from that session if desired.
Retrieve a list of 20 available data bundles from a specific timestamp onward. Then, export the most valuable data bundles from that list so that they can be integrated with other relevant data sources to give you a deeper overall view of your customer’s experience.
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.