Visual Analysis and Reporting for Big Data

InetSoft's dashboard and visualization software can access big data sources such as Apache Spark, Cloudera, Hadoop, MapR, and SAP HANA. For an easy and agile big data analytics tool that scales with a cluster of commodity servers, consider InetSoft's BI platform, Style Intelligence.

The data access technology employs a hybrid of in-memory storage, intelligent disk-caching and Hadoop-like column-based indexing to deliver high performance on massive amounts of data.

In addition to providing a visual analysis tool to discover patterns in the data, the data mashup engine allows for combining KPIs driven off of big data with ones already tracked in operational systems into a comprehensive management dashboard. (see All Data Sources for the possible data mashups.)

advanced analytics for big data

Deliver Data Discovery

Naturally you want to turn those deep oceans of data into insights that can impact your organization's performance, and you'd like to avoid creating new ETL processes and data warehouses to support that effort. InetSoft's Style Intelligence connects directly to several Hadoop-based file systems, and its easy-to-use visualization design tools make creating visual analyses a simple drag and drop exercise.

Either a developer can create a very interactive self-service data exploration view for the data with drop-down lists and selection lists that let business users and analysts navigate through exposed data fields to find patterns and relationships, or power users can take the reins and create their own data mashups with other relevant data, to get maximum value out of the data resources.

Build Mashups of Your Big Data and Other Enterprise Data

A key strength of InetSoft's business intelligence software is its depth of support for data mashups. Data from a big data source can be combined with almost any other data source found in your enterprise, including SQL databases, XML, SOAP, Java beans (POJO), EJB beans, OLAP cubes, SAP ERP, PeopleSoft, Siebel CRM, Google AdWords & Analytics, JDE,, MapR, SAP HANA and more.

With the ability to manipulate the big data on the fly with formulas and transformations, you can create KPIs that could be visualized in web-based big data dashboards that individuals of all technical skill levels can use from any device, whether desktops, laptops, mobile phones or tablets. And the data mashup software functionality means those KPIs could be merged with others in the organization for the complete view of performance. InetSoft's Style Intelligence also includes traditional reporting capabilities with very mature feature sets so reports of any type can be pushed where needed.

visual analysis example for big data
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