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Today's enterprise applications need to integrate complex
documents, transaction data, proprietary content, and
legacy formats. Unfortunately, the current generation
of technologies used by enterprises for XML Data Transformation,
which include extract, transform and load (ETL) tools,
a wide variety of proprietary integration adapters,
integration brokers, transformation utilities and XSLT
editors cannot seamlessly address these needs without
time-consuming and costly IT development.
This becomes one of the greatest challenges encountered
by IT organizations. With the increasing need to communicate
with these complex documents and various legacy formats
of today's enterprise systems, the search for a complete
yet reliable and cost-effective data transformation
system is in high gear.
By allowing any form of enterprise data, including
structured, semi-structured and unstructured data, to
be transformed in real-time via XML from within a specialized
environment, ContentMaster is the cost effective solution
that enterprises long for to handle all their EAI needs
reliably and with ease.
With ContentMaster, enterprises are able to increase
IT productivity and application integration infrastructure
usability, while enabling new classes of enterprise
solutions that integrate complex documents, transaction
data, proprietary content and legacy data formats.

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ContentMaster allows for quick and seamless transformation
via XML from any enterprise data source on any platform,
and from any data format to any other without programming.
Transformations can be defined once and deployed anywhere,
allowing an enterprise to abstract data transformation
business rules anywhere, anytime -- lowering the total
cost of ownership of data transformation.
Transformations are faster to write, easier to maintain
and can be written by project teams without reliance
on expensive integration resources.
Developed once, transformation business rules can be
reused and shared many times across multiple integration
scenarios, regardless of the underlying mechanics of
information interchange.
Different projects in different departments get the
same consistent data by reusing transformation business
rules.
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