AISWare DataDiscovery is an agile and open data analysis and visualization tool that supports the magnitude of big data. It provides rich visual representations and simple drag-and-drop operation, integrates a variety of data analysis algorithms, conducts systematic discovery and analysis of data, and quickly helps companies build a data visualization analysis system in order to realize intelligent decision-making of companies.
Drag-and-drop data analysis, report configuration and presentation to support daily report preparation
Providing one-stop, complex scenarios and self-service access capabilities for front-line business personnel
Providing abundant usage scenarios based on indicator data, and providing analysts with the preparation and presentation of monthly and quarterly analysis reports
Providing a wealth of data analysis methods, which can systematically discover and analyze data by setting functions such as linkage, drill-down, jumping to details, distribution warning, scientific calculation, and real-time analysis
Providing multiple different types of visualization components, which can support users to analyze Chinese-style reports, and conduct distribution, trend, comparison, achievement, map, flow, frequency and correlation analyses
Providing a drag-and-drop operation experience to lower the threshold for use, and enable everyone to be a data analyst
Providing a variety of terminals and scenario adaptation forms, and supporting the production of PC, mobile, and large-screen data analysis portals, dashboards, specific analysis reports, and online analysis reports, which is generally suitable for different industry scenarios
Visual dashboards, portals, and specific analysis reports can be integrated to external platforms, visual components can be integrated to external platforms separately, mobile reports can be integrated to enterprise version WeChat, DingTalk; e-mail pushing can be set for dashboards, portals, and specific analysis reports
Supporting the connection of a variety of relational, big data and domestic database, supporting offline data uploading and agile data filling, providing fast data access and visual modeling to make visual analysis ubiquitous
Easy-to-use operation experience
Intelligent insight into the data value
Multi-scenario adaptation to cover users of different roles
With DTS, customer data insights can be conducted to build operator data portals and utilize sharing and collaboration capabilities to push data to the marketing platform through the pushing interface with one click, and simulation analysis of target customer group can be achieved through comparative analysis.Through self-service access, the latest consumption data of regular customers with high telephone charge/traffic can be extracted to support package upgrading marketing.
A fire research institute studied more than 30 firefighting yearbook reports in a short period of time with the help of AISWare DataDiscovery to conduct multi-dimensional specific analysis including the analysis of death toll caused by fire, the analysis of fire site, the analysis of building category, the analysis of the ignition source, and the analysis of time trend, and used the indicator discovery function to construct the overall analysis report of the disaster situation, and provide important analysis data and report presentation for fire prevention.