On-premises and cloud data mashup with a variety of data block formats and frameworks ready for high-performance analytics for business intelligence and machine learning. SQL, JSON/REST, Salesforce.com and Google Analytics databases are just a few examples of Style Intelligence fonts.
Mashup-based dashboards and reports with machine learning intelligence
Data mashup - quick data preparation
Data in the cloud and on-premises
On-premises and cloud data mashup with a variety of data block formats and frameworks ready for high-performance analytics for business intelligence and machine learning. SQL databases, JSON/REST, Salesforce.com and Google Analytics are just a few examples of sources.
Itterative mashup and visualization
Mashup and preview are coupled as a web application. The mashup engine allows you to quickly create data profiles and verify data manipulations through data visualization. And while building visualization dashboards, you can also quickly add data transformations for more efficient visual output.
Self-service data mashup
Data mashup is not just a powerful tool for professional designers. With proper governance in place, it is also a secure but dynamic self-service tool for users with data knowledge.
Visual analytics dashboards and document reports to be delivered
For online analytics, InetSoft preview dashboards are quick to build in a web application. Dashboards are automatically connected with deep internal interactions and customization to enable end-user analytics.
For content accessed online and distributed offline, document reporting goes far beyond simple dashboard export. It enables accurately formatted page-oriented design to ensure full availability of information in the absence of interactivity.
Self-service analysis and adhoc reporting
Business users can be empowered with much more self-service than dashboard interactivity and customization.
Mashup Human & Machine Intelligence
Machine learning with InetSoft is designed to perfectly match human-developed analytics. By facilitating mashup in a single visual user interface, InetSoft enables business users to become their own "citizen" data scientists based on professionally created models.
For data scientists, machine learning production for business users has been a major barrier. With InetSoft's fully integrated machine learning + business intelligence engine, production is greatly simplified.
High performance and acceleration
Guided by InetSoft's mashup software, the data mashup engine automatically generates native queries and API calls as analysis-ready data blocks. In addition, data blocks can be activated as high-performance compressed cache blocks for rapid acceleration in memory. This is especially useful when the raw data volume is huge or when different data sources have a large performance disparity. It is common to see performance gains ten times higher.
Scalability for Big Data
InetSoft's data mashup engine is designed to be scaled to big data with open source Apache Spark. Combining highly efficient data blocks with the well-known spark scalability, data processing capability is only one function of cluster size. InetSoft's data mashup engine can even be placed in existing Spark clusters to share computing power with other applications.
System requirements:
CPU: 1.8 GHz dual core processor
RAM: 2 GB
HDD / SSD: 50 GB of free space on the main drive
Operating system: Microsoft Windows 10, Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit
Resolution: 1024×768
Supported operating systems
Mac OS X 10.5 x (Leopard), Mac OS X 10.6 (Snow Leopard), Mac OS X 10.7 (Lion), Mac OS X 10.7 (Mountain Lion), OS X 10.9 (Mavericks) and Mac OS X 10.10 (Yosemite)
Hardware requirements
Memory - 1 GB of RAM and more
Free disk space - 50 MB
System type - 32-bit and 64-bit OS
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