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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
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