Syspedia - Features
|Syspedia is designed for people
who research data every day. Business analysis, data
administrators and application developers can quickly and easily
find out about their application data. Syspedia helps because it is:
built to be quick, easy and simple to use
quick to display who, what, where and when data element information
helping you understand your data definitions, domains and
able to help you realign your naming conventions and
quick to show data usage, dependencies and interaction across all
Simple to Use
In developing Syspedia extra effort was put into the design to
make it quick, easy and simple to use. Syspedia has
minimized the number of screens, menus, and clicks needed to get
at the information. The screens have been designed
for clean look to reduce clutter while providing links to
related information. Other tools may be "beautiful" but do
not have the functionality or depth of information of Syspedia.
Features that other data
professionals have found particularly useful are:
quickly and easily research databases, files and elements on
researching and querying database structures and content
setting up custom reports focusing on distinct applications or
|Who, What, Where and
Syspedia was developed by data
professionals for one reason - to research data and data elements.
They were frustrated researching elements spread across the
enterprise platforms and various applications.
With the many HIPAA,
Sarbanes-Oxley and integration projects these days having no
tools to research data and element usage is a time consuming
task. Syspedia answers these research questions quickly
and easily with a minimum of clicks.
an enterprise wide business process analysis repository of business
rules and data element meta-data that answers all
your questions. For example:
Who's applications use the file
that is changing?
Who's jobs are effected if this
load library is deleted?
What data elements relate to the
What are standard or common
definitions for customer addresses in the department or
Where does this application data
element get used?
Where is the data on the the
mainframe, UNIX, or windows finally stored after all its CICS,
Peolpesoft and Visual Basic application updates?
When is this data element
compared, moved or used in an application?
When are the programs changing
or updating this data element?
Seeing all your data element definitions from all your platform
applications together can quickly help you realize many
different data definition aspects and potential problem areas.
Syspedia helps you
understand domain, range and class of your different data
stores. The definitions used across platforms must be
compatible but also complimentary to ensure data integrity.
Next Syspedia documents your enterprise's naming
conventions and standards by quickly scanning all your
applications. Syspedia helps see all the different
abbreviations, acronyms, synonyms, and definitions used in
Syspedia does more than document data definitions. Through
its Standards processes, Syspedia helps you quickly and easily align
and redefine element names and definitions. These simple
three step Syspedia processes allows you to automatically
redefine elements to a common consensus name and definition.
your naming conventions
Syspedia does more than
document data definitions. Through its Standards
processes, Syspedia helps you quickly and easily align and
redefine element names and definitions.
Using a simple three step
Syspedia process, it allows you to automatically redefine
elements to a common consensus name and definition. Code
tables and standard values can also be documented, developed and
Data usage, dependencies
distills your application code and organizes, relates, and
stores all your data element usage. Through your web
browser Syspedia applications let you research jobs,
applications, database tables, files, and elements and then
discover their usage dependencies and interactions with other
components at many levels.
This can help determine
business rules, conditions and element processing functionality
by quickly focusing on the your desired data elements.