Data Management

Data Analysis/Modeling
Effective data modeling requires the same logic used in process reengineering. By analyzing the breadth of data and establishing a prioritized contextual list, as well as a relationship schema, the task of developing a logic model, storage requirements and configuration listing is a comprehensive one. Single Source consultants have years of experience in BPR and in software engineering. Our data and BPR engineers offer a unique capability to analyze in legacy environments and tailor them to existing requirement outcomes.

Data Conversion
Single Source has an established relationship with one of the leading Data Conversion and Management Laboratories in the country. Together we can offer a full range of data conversion methodologies, whether your data records are in electronic or paper format. We can convert archived documents into an electronic format that is readable and manipulable. Our technology can convert from virtually any medium, from up to 50” wide blueprints, to microfiche, 16 and 35 mm film, or poster board – nothing is too difficult for our team. Our consultants will convert your archives to intelligent formats such as HTML/SGML/XML, and combine the conversion with data integration, warehousing, mining and distribution for a total solution.

Data Migration
Data migration refers to the process of transferring data between storage types, formats, or computer systems. Our consultants are experts at developing an automated migration platform to move data from one system to another with as little human intervention as possible, and as error free as possible. Our consultants will establish data conventions and definitions, run samples, eliminate predictable errors through validation, and convert any remaining data by hand. We will set up a test environment to run the migration without loss of data or functionality to existing systems. Once the test platform is running to your satisfaction, we will transfer to the target system, and monitor real time transfers to ensure effectiveness.