Once again, we're honored to be included in the Gartner Group’s customer survey-based Magic Quadrant report on BI. This year, we ranked among the top BI vendors for three functional areas: OLAP, Predictive Modeling and Data Mining, and Scorecards. To view highlights of the report, click here.
Source: Gartner “Survey Analysis: Customers Rate Their BI Platform Vendors” by Rita L. Sallam, July, 2013.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from InetSoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
A new report by the Aberdeen Group demonstrates how InetSoft's sophisticated data mashup and visualization capabilities can aid the process of integrating new data sources. The report observes that in companies where mashups are used, managers are more likely to find the information that they need at the right time. Since new data sources are often integrated for ad hoc analysis, or to answer a specific query, the integration cycle is often very time sensitive. When one considers that it takes an average of 31 days to integrate a new data source into an existing data warehouse, the need for an alternative becomes apparent.
Companies who use data mashup are able to integrate new data sources in significantly less time than those who do not. As a probable result of this faster integration time, companies who use mashup increase the number of data sources available for BI at a much faster rate.
With all the datasets that can be found online and from various sources, it can be difficult to discern which ones will actually be useful and worth the time and cost of integration. Using data mashup with visualization tools such as InetSoft's Visual Composer enables managers to quickly determine whether or not a new data source is worth integrating. The report also found that data drilldown(also a function of InetSoft's solution) helps managers to uncover new data insights and even answer questions about the data which were not initially anticipated.
The Aberdeen report recommends adopting a decentralized IT support structure when enabling self-service data integration. IT professionals embedded within individual business units can help ensure data quality and verify that the integration is being performed properly.
The report is called "Mash Your Way Up to Better BI", and can be downloaded for free upon registration here:
Over the past few years, Java has become the primary foundation for many of the world's largest and most visited websites, including Google, Linkedin, and Twitter. According to Lee, "for companies with extreme performance requirements and extreme scalability requirements, there is really is no viable alternative."
This, however, is something InetSoft has known for some time. We first released Style Intelligence to the world in 1996. It was then, is now, and always has been, a 100% Java application.
Read the full story from Wired: The Second Coming of Java: A Relic Returns to Rule Web.
The newest version of Style Intelligence is here, bringing with it several marked improvements. Headlining the release is a new data source connector for the Apache Hive data warehouse system for Hadoop so that dashboards, visual analyses, and data mashups can easily be made with any enterprise data source.
Style Intelligence 11.5 also brings with it a new and improved user interface refresh that reflects the clean, modern look more commonly seen in today's business applications.
Other enhancements introduced in this release include:
- New Audit Reports
- Restricted User Access to Enterprise Manager
- Recursive Hierarchy in Selection Tree
- Target Line Features
- Chart Spacing
- HTML Content in Viewsheets
- Dashboard Scaling
- Dashboard Localization
- Folder Organization for Data Sources
- Easy User Scheduling
- Encryption for Email Attachments
- New Method in ScheduleExt Interface
- And more...
For a full list of 11.5 features, please click here.
To read the press release, please click here.
When you hear the phrase "sales dashboard," you probably think of a metric tracking display. Sales dashboards, however, can serve to do different things for different people. Metric-tracking dashboards are used to follow sales related KPIs, such as product performance, sales growth, demographic measures, etc, but are typically only of value to management.
These dashboards can be much more versatile, however. Take, for instance, the dashboard below:
A version of this dashboard is currently in place at InetSoft and being used by our sales team to track leads. Using this dashboard, they can view leads from now back to the beginning of time (about 1996), and retrieve important customer information. This particular dashboard allows the InetSoft sales team to see how many times a prospective lead has been contacted and when.
How do you use dashboards in your office? Let us know in the comments below.