InetSoft in Gartner’s Business Intelligence Magic Quadrant

InetSoft was included again in the Gartner Group’s customer survey-based Magic Quadrant report on BI. InetSoft was ranked among the top BI vendors for three functional areas: OLAP, Predictive Modeling and Data Mining, and Scorecards. Excerpts are from the detailed 25-page report that contains these customer-based scores, titled “Survey Analysis: Customers Rate Their BI Platform Vendors.”

OLAP Rating Versus Usage

OLAP enables users to analyze, slice, and dice data with fast query and calculation performance. This staple of BI platforms received an above-average satisfaction score of 8.35, and 54.4% of survey respondents using OLAP; with 29% of respondents reporting extensive use (see Figure 15). Thus, OLAP ranks seventh in satisfaction, compared to its fifth place ranking in 2011, and its top ranking in the 2008 survey. This drop may reflect a shift toward data discovery tools that enable business-user-oriented interactive analysis through visualization and alternative in-memory architectures.

Figure 15. InetSoft Recieved the Highest OLAP Score
Predictive Modeling and Data Mining Rating Versus Usage

Companies look to incorporate predictive analytics and data mining capabilities, applications and skills development into their BI strategy to identify information patterns for anticipating customer needs, market developments and for finding new efficiencies. Predictive modeling and data mining (see Figure 17) includes the ability to classify categorical variables and to estimate continuous variables using mathematical techniques. In 2013, 39% of survey respondents reported use of predictive modeling and data mining versus 48.4% in 2012. Extensive use was reported by 10.8% of respondents in 2013, down from 12.5% in 2012, with an average functional score of 7.80, below the survey average of 8.12 and higher only than with Mobile BI — which scored the lowest of the 15 assessed capabilities. Despite significant hype around big data and advanced analytics, predictive modeling and data mining experienced the most significant drop of any of the 15 capabilities, perhaps due to a lack of availability of skills to support more pervasive use.

Figure 17. InetSoft Recieved the Highest Data Mining Score
Scorecards Rating Versus Usage

Scorecards (see Figure 19), have the ability to display metrics in a dashboard and apply them to a strategy map that aligns key performance indicators (KPI's) with strategic objectives. In 2013, 54.5% of respondents reported using scorecards, with 19.6% reporting extensive use — slightly above the 19% extensive use reported in 2012. Organizations appear relatively satisfied with their scorecard capabilities, rating them an average of 8.19, above the survey average of 8.12.

Figure 19. InetSoft Ranked Highest in Scorecards

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.