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Global IDs

Data Profiling and Mapping Suite : Feature List (continued)

The classification functionality is supported by the following modules

#
 Application # Application Name Application Description
1 Data Classification
1 Taxonomy Manager Module for classification of semantic domains
2 Subtype Taxonomy Manager Classifier for Subtype Information
3 Code Table Taxonomy Manager Classifier for Code Table Information
4 Address Taxonomy Manager Classifier for Address Information
5 Name Taxonomy Manager Classifier for Name Information
6 Email Taxonomy Manager Classifier for Email Information
7 Telephone Number Taxonomy Manager Classifier for Telephone Information
8 TimeStamp Taxonomy Manager Classifier for Timestamp Information
9 Boolean Taxonomy Manager Classifier for Boolean Information
10 Domain Classifier Classifier for Business specific Domains

Based on customer requests, the Global IDs Data Profiling and Mapping Suite is being enhanced to reflect addition types of classification activitiy. Some examples are:

# Requirement Available Comments
1 Classifier for IDs, Natural Keys, SubTypes, Hierarachies etc.
 Yes
2 Classifier for Location Objects (Geocodes, Lat, Long ...)
 No
3 Classifier for Financial Accounting Objects (XBRL, GAAP, ...)
 No
4 Classifier for Event Objects
 No
5 Classifier for Unstructured Data
Yes
6 Classifier for Semi-structured Data
 No In development.

We are interested in providing our customers with a large list of classifiers so that they can increase their understanding of their data environment. If you have any suggestions for additional types of classifiers that would be useful to you, please use the feedback form and send us your ideas.

Data Mapping : Features and Functionality

Data Mapping is the process of creating data element mappings between two distinct data models. It is used as a first step for a wide variety of data integration tasks. The Data Profiling and Mapping Suite offers the following list of features to aid the Data Mapping Process


# Requirement Available Comments
1 Trace data lineage of critical data objects across data landscape Yes
2 Compare two schemas and identifying similarities across entities and attributes Yes
3 Map together semantic domains across the data landscape Yes

 

The Global IDs Data Profiling and Mapping Suite is notable in the following ways.
  • It can accomplish the above tasks, with a minimum of manual involvement
  • It can scale to extremely complex environments (enterprise or global levels)
  • It can meet these requirements in systematic and repeatable ways

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