Our industry experience gives us an understanding of industry evolution, business issues, and applicable technologies, enabling us to deliver innovative solutions tailored to each client or, as appropriate, more standardized capabilities that we offer to multiple clients. Our enterprise solutions capture replicable components of methodologies and technologies to create customer solutions quickly, predictably, and cost-effectively.
Our enterprise solutions build on each other, project by project and process by process to provide a complete view of the enterprise, how the applications interact, and how data structures are shared among various applications. The point solutions connect the elements of a software infrastructure and recombine those components into a different configuration. For each subsequent solution, the process layer manages the workflow across the entire enterprise and the data is held as an integrated knowledge base for the enterprise, and the core of the enterprise integration. Our point solutions provide functionality for a specific business area while integrating the data, the applications, and the processes of the enterprise.
The analysis of the enterprise’s processes concentrates on what is being done rather than how it is done. The workflow and its component processes identify redundant processes throughout the enterprise. Streamlining these redundant processes not only makes the business more efficient, but also permits the building and use of software modules that support that process and integrate the business functions.
When applications are integrated across the enterprise, the applications have a common user interface, libraries of common routines and modules, and seamless integration among different systems. The code is easier to maintain and support, users can move easily from one business area to another with very little training, and it is easier to provide new functionality as the business requirements change.
Data is the most stable part of the business. The basic data structures do not change as the applications and processes change. A well-constructed enterprise data model supports the information requirements of the business no matter how the processes and applications may change. If rigorous data standards are followed, the data will be of good quality, meaning that it will be consistent across applications, and will be complete and correct.
Interfaces and data conversion routines determine which data are needed by each application and creates a master map for similar processes that create, update, and retrieve data.
We add value to individual development and implementation projects by using a project management approach that controls and manages all of the enterprise projects. Standard templates are used for each project that allow an enterprise to view all the activity, deploy resources effectively, manage issues and change requests, and manage project budgets. This approach makes each project predictable in terms of costs and duration. Successes are repeated and lessons learned implemented in subsequent projects.