Wherever the InetSoft application is deployed, mashup on-premise and in-cloud data with diverse formats and structures into high performance, analytic-ready data blocks for both analytic dashboards and reporting. SQL databases, JSON/REST, Salesforce.com, and Google Analytics are just a few example sources.
Mashup and visualization are coupled together as one web app. The mashup engine enables you to quickly profile data and verify data manipulations via data visualization. And while building visualization dashboards, you can also quickly add data transformations for more efficient visual output.
Unlike many competitive options, the InetSoft application in 100% web-based and delivers maximum self-service to both developers and end-users. Technical users find the designer powerful enough to create advanced data transformations and mashups without writing SQL, power users can easily create new dashboards and perform ad hoc chart editing, and business users personalize their analytical views saving them as bookmarks.
For online analytics, InetSoft's visualization dashboards are quick to build in a web app. Dashboards are automatically wired with deep built-in interactions and customization to enable end user analysis.
For content accessed online and distributed offline, document reporting goes far beyond simple dashboard exporting. It enables finely formatted, page-oriented design to ensure full information availability in the absence of interactivity.
Business users can be empowered with far more self-service than dashboard interactivity and customization.
The InetSoft application is expressly designed to be embedded, whether inside an enterprise portal or another solution provider's cloud-based solution. OEM-friendly features include multi-tenant hosting, full white-labeling, and flexible licensing models to match the partner's.
Driven by InetSoft's mashup software, the data mashup engine automatically generates native queries and API calls as analytic-ready data blocks. Furthermore, data blocks can be enabled as high performance, compressed cache blocks for fast in-memory acceleration. This is especially helpful when raw data volume is huge or when different data sources exhibit large performance disparity. It is common to see ten times performance gains.
InetSoft's data mashup engine is designed to scale to big data with open source Apache Spark. Combining highly efficient data blocks with Spark's well-known scalability, data processing capability is just a function of the cluster size. InetSoft's data mashup engine can even be dropped into existing Spark clusters to share computing power with other applications.
Customer service is the best I've encountered among software vendors. All the technicians are extremely knowledgeable, patient and will make every effort to accommodate your schedule and resolve the issue in a timely manner. - Jack from BOK Financial
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