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How LogiXML BI Features Help Application Developers, ISVs and SaaS Providers
by LogiXML BIz Comm Editorial Staff
August 28, 2006
Building BI components from scratch is not a practical option for Independent Software Vendors (ISVs), SaaS Providers and other application developers; and, it can be risky. For example, this can quickly find an ISV spending a significant amount of time and resources on building the reporting piece of the application when they could be focusing solely on the business problem their application solves. And, they run the risk of delivering a substandard reporting and BI experience that looks like an afterthought to the main application.
Because many ISV companies are ‘heads down’ within their industry, they might not realize how BI and reporting overall are evolving. The static, printable report, while still needed for some cases like bank statements or invoices, has come a long way. Today, end users want options; they want accurate, up-to-date information; they want to interactively touch and visualize information; and, more importantly, they want to share that information with others.
At LogiXML, we realize users want different options depending on the information they need such as viewing current business status information or searching for answers to their critical business questions. Some users have different needs at different times. Some users want the convenience of going to the Web and running an ad hoc query; some users are more comfortable using Excel to build analytic calculations; and some users are in a hurry and need immediate understanding with rich dashboard views that encapsulate and summarize all their critical information.
LogiXML’s BI features are simple to implement in your applications and are extremely easy to use while offering world-class features and functionality that will surpass your customers’ expectations. With LogiXML’s features, your application developers get ahead of the traditional development cycle; your applications offer more features with less time to market and are more attractive to your customers; and, your customers and end users get more value from their data once they are in production.
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