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Business Intelligence as a Service: Key Evaluation Criteria for ISVs to Consider

Source: SAP
Business intelligence (BI) software as a service (SaaS) has gained traction in recent years. The reduced cost and feature-rich nature of the offerings make SaaS BI appealing to large and small businesses alike. Now, independent software vendors (ISVs) are also finding significant advantages to on-demand BI. Learn how SaaS BI solutions are helping ISVs reduce time to market, and accelerate the software development process.


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Decisions, Decisions: Key Issues to Consider in Selecting a Field Service Management Solution
Source: FieldOne Every company offering field service management and automation solutions will impress you with a long checklist of features: schedule boards, dispatching and routing, work order management, automatic billing, and more. How do you compare products and find the differences that should determine your choice? Download this white paper and read up on some of the key issues to explore as you compare products and providers. Read More...
Comparing the Total Cost of Ownership of Business Intelligence Solutions
Source: Birst For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant configuration and integration. In contrast, software-as-a-service (SaaS) solutions can reduce the cost of a BI deployment by providing automation and pre-integration. Compare total cost of ownership (TCO) for traditional, open source, and SaaS BI solutions. Read More...
Business Intelligence (BI)
Source: Technology Evaluation Centers Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. Read More...


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