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Master Data Integration Suite : FAQ


The following section addresses Frequently Asked Questions regarding the Global IDs Master Data Integration Suite.

What is Data Integration?

What type of organization is the Global IDs Master Data Integration  Suite designed for ?



What is Data Integration?

Data Integration involves combining data residing in different sources and providing users with a unified view of these data. The Master Data Integration Suite offers an extensive list of features and functions that aid the Data Integration process.

 

What type of organization is the Global IDs Master Data Integration Suite designed for?

The Global IDs Master Data Integration  Suite is designed for corporations, government agencies, financial companies and other types of organizations that deal with data. Since it is scaleable, an organization can introduce it with a limited scope and then expand it later.

 

Dat

a Discovery Features

Data Discovery provides the ability to automatically scan and identify information assets within an organization. The DPS Product Suite offers the following list of features to aid the Data Discovery Process

# Requirement Available Comments
1 Create a Metadata Repository without significant manual involvement Yes
2 Scan all structured databases of interest Yes See database types supported
3 Scan all unstructured data of interest Yes See content formats supported
4 Scan all semi-structured data No In development (beta). See supported formats
5 Provide web access to metadata repository Yes
6 Profile the structured data Yes 10 types of profiling is supported. See details
7 Automatically detect data quality problems in structured data Yes
8 Create a data dictionary and glossary for critical business data Yes Requires some degree of manual input
9 Continuously monitor the metadata environment for changes Yes
10 Create metadata reports and profile reports on demand Yes

Based on customer requests, the Global IDs Product Roadmap also includes some new features that have been listed below
  • 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