Data Processing Systems

In an age where it has become fashionable for IT professionals to talk about cloud services and web 2.0 based social networking, it's easy to lose sight of the fact that there are unfulfilled needs for both traditional and next-generation data processing services. These demands arise from a variety of factors:

• The explosion of metadata around unstructured data makes it feasible to build data processing systems around these data types.
• The proliferation, and expansion of range of devices that capture data: digital cameras (personal, industrial, security) , barcode and RF scanners, environmental, flow sensors, etc. This is a world wide phenomenon.
• The rapid, global industrialization and digitization of resource extraction, manufacturing and commerce has vastly expanded the number and scope of enterprises whose daily behavior is information driven.

At its core, EC Wise is about data processing. We have been involved with initiatives aimed at effectively managing and using data to support decision making and resource allocation since early in the development of business applications of information technology. Our recent work has included development of high volume remittance processing systems; high volume production of data-rich documents; building a data collection pipeline for market feedback and analysis; and capturing and analyzing data on how production systems perform under varying loads.

We are experts in building production systems that manufacture information from data. We believe that will be the foundation for the next major advances in economics and society - especially as it becomes increasingly common to produce tangible goods from that manufactured information.

These systems have significant data transformation and normalization components. Since they typically incorporate multiple data streams from disparate sources, designing consistent ontologies is essential to creating these information pipelines. Data-level integration is a significant part of these systems, in parallel with process-level integration of enterprise and third parties through efficent, service-oriented architectures. The foundation for making this work effectively is the underlying definitional effort. We excel in this space, since we have significant background in all of the underlying technology areas.