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This white paper describes the technologies underpinning the enterprise software solution suite that Online Insight offers today in its Fourth Generation products, and explains how our enterprise-class software systems take software "abilities" to new levels. These abilities include: scalability, reliability, maintainability, ability to integrate, adaptability to future technology advances, and ease of customization.
These technology underpinnings push the value of Online Insight's solutions well past the software's core business value propositions of dramatically increasing sales and marketing effectiveness through real-time, firsthand Collaborative Customer Conversations based on personal preferences. They add the Total Cost of Ownership (TCO) benefits of protecting each customer's investment in Online Insight's solutions as technologies and business needs change. We have "future-proofed" our systems by incorporating "best in class" technical differentiators and ease-of-use, thereby minimizing costs of owning, running, integrating, and changing them over time.
These systems are designed to stay in alignment with business needs.
All Online Insight, Inc. solutions are built in Java within the J2EE programming framework, offering the strong advantages of cross-platform deployment, a non-proprietary nature for future extensions and maintenance, as well as standards-based interfaces to common business integration technologies including web services/XML, EJB/session beans, message queuing, and other standardized formats and connectors. This applies to the entire eMpower Suite including eMpower Motivations, eMpower Sales, eMpower Distribution, and empower Enterprise.
Online Insight's Market-Revolutionizing Software Technologies
To accommodate the needs of various readers, we have provided a "quick-reference" list of technical benefits below. This list summarizes the key points that will be expanded in subsequent sections.
The primary take-away from this list of features is that the Online Insight solution suite is architected to be "Future Proof" against the inevitable changes that occur with and around any core transactional system.
The remainder of this document will provide further details regarding the technical differentiators presented above and how they "Future Proof" our clients' deployments of their Online Insight suite against inevitable changes; ensuring these changes are not only possible but also achievable with reasonable costs. First on the list is scalability, the potential to support increases to the concurrent load capacity for the implementation over time on a wide variety of reasonably priced servers and infrastructure software.
Scalability
Online Insight's products are architected as n-tier applications that can be run across clusters of machines (enterprise servers). This allows our customers to take control of their own destiny in deployments and in the expansion of their Online Insight solutions - within a single facility or distributed globally. Online Insight's solutions can scale cleanly and without realistic limitations in the following three ways:
1 Add processors to the machine(s) in a deployment cluster
2 Add machines to a cluster
3 Add parallel cluster(s) of machines
This three-pronged approach allows our customers to choose how they want to deploy and manage our solutions during the initial deployment phase or at any subsequent time the business finds it important to revisit previous hardware, operating system, database configuration, and/or network choices. This flexibility allows our customers to make their own decisions about the best and/or most cost-effective deployments of our solutions in their Information Technology environments. This is even more compelling when you realize that these deployments do not have to be symmetric or homogenous. As an example, enterprise servers do not have to be from the same hardware manufacturer or even run on the same operating system. Our J2EE standards-based applications run without porting on most modern hardware platforms and operating systems within the appropriate Java Virtual Machines (VM).
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