DataVision, Inc., formerly known as Heilman Data Services, Inc., has been a leading provider of full-service data capture, data integration, and data engineering since 1971. DataVision was founded on the promise to provide fast and reliable data solutions to our clients - regardless of the size or the complexity of the project.

DataVision provides our clients best in class services, creative solutions and effective problem solving. DataVision has delivered Data Entry and Image Entry services; Data Conversion, Software Conversion, Statistical Analysis, Media Conversion, Data Transmission, Data Warehousing and Internet Services solutions; and Y2K problem resolution with integrity. DataVision clients have unfettered access to leading industry tools, applications and resources.

A most valued resource - DataVision's fully trained personnel, have been with the company for decades but have set the pace in the technically savvy world of modern data engineering. All DataVision staff use the most current PC equipment and procedures, dramatically expanding the capability to work faster, harder, and with exceptional accuracy.

DataVision has an established track record providing Fortune 500 companies with data management and manipulation services. DataVision's satisfied clientele include industry leaders such as The Principal Financial Group, MBNA, Time-Warner, The National Basketball Association, Digital, Compaq and Gateway. DataVision is currently providing best of class data solutions for two of the top five credit card services companies.

DataVision does not rest on its laurels; it resides on the technological frontier. DataVision has Partnered with a Financial Services Company with over $100 Billion in assets under management and an insurance broker that ranks among the 40 largest in North America to develop Businessolver.com, a total solution for small to medium size businesses.

DataVision believes the work to be done can broken down into the following "deliverables":

Phase 1: Technical Review and Analysis of the existing data warehouse;

Phase 2: Develop an industry-class Data Warehouse Strategy

Phase 3: Develop implementation plans for subsequent subject areas, such as:

  • ILONA Interconnectivity
  • Marketing Data Mart
  • On-Line Analytical Processing (OLAP)
  • Real Time Customer Resource Management