Sponsor: TIBCO

Much has been made about the promise and business value that self-service analytics solutions can provide. By removing the onus from IT of constantly responding to analytics requests from the line-of-business and empowering individual business users to perform the analysis they need, self-service analytics can often present an attractive investment. However, influencers seeking to make investments in such solutions find difficulty in quantifying downstream business benefits. To facilitate this evaluation process, Blue Hill Research provides the following framework for assessing the relevant value that such investments might have on their organization. In building this framework, Blue Hill Research draws upon deep qualitative and quantitative interviews with 21 end-user organizations across a range of size and industry.

The expanding role of data in business management promises smarter operational applications that manage and automate better processes. This new breed of intelligent applications, called analytic applications, is transforming how organizations and other applications consume information to drive improved business performance and competitive advantage.

Business intelligence is a technology that has held a spot within the consciousness of nearly all IT department decision-makers and professionals for the past several decades. More recently, as innovations have given rise to mobile technology in the enterprise sector, software and applications developers are looking to include mobile BI functionality into their existing offerings.

The lead developer for an in-house data-analysis application?

If so, you probably understand how embedded business intelligence (BI) software can help your users get the most from your application’s data.

The embedded business intelligence market has evolved from the 1990s when companies embedded proprietary code into their applications using proprietary APIs from BI vendors. The Web enabled companies to decouple BI applications from their core applications, running them on separate servers, using URL or Web services APIs to connect them. Today companies increasingly use JavaScript and REST APIs to embed BI tools, which some BI vendors now make available in platform-as-a-service cloud environments as pay-as-you-go services.