You are here: Products - Product Suites - Master Data Governance Suite

Global IDs

Skip to content

Master Data Governance Suite

Master Data describes the core data assets on which the business of an organization runs. For commercial organizations, master data includes data on customers, products, employees, suppliers, locations, legal entities and about ~ 100 other critical data objects. For non-commercial institutions, master data includes data about people, organizations, partners, vendors, regulators etc.

Global IDs uses a number of specialized applications that form a part of the Master Data Governance Suite to automate the analysis of the master data environment inside large organizations.

We use a systematic and automated approach to

create transparency within the data environment
create quality assurance monitors on the data environment
establish a master data governance portal for data stewards

Context

Large organizations, today, have hundreds or thousands of databases and applications. Creating business value from this large amount of data is no longer an easy task.

The advent of "Big Data" -- the deluge of information originating outside the bounds organization -- represents both an opportunity and risk for large organizations. While these new types of data are potentially valuable to business, the cost of processing this information can be exorbitant.

Inundated by this data deluge, organizations are spending more and more money to manage their data in traditional ways -- asking people to organize the information, and relate it to business value. As the cost of data management keeps going up, business managers need to understand whether there are alternative approaches to managing data.

One of the primary contributors to information management cost is the lack of data transparency in large organizations. Put simply, no-one understands the data assets of the organization at an enterprise level, because all the data is opaque and "locked away".

This lack on transparency manifests itself in a variety of ways

Costs associated with data integration
Since the systems that need to be integrated were not developed with an enterprise view in mind, bringing these systems together is costly and time consuming.
Costs of data migration
Moving data from legacy systems (e.g Mainframes) to modern open systems can be very difficult, because of the lack of transparency leads to lack of common data standards.
Significant costs of maintaining data quality
The lack of visibility into enterprise data, makes the measurement and assurance of data quality difficult and expensive

Some of the above costs can be avoided, if the data environment is rendered transparent. If transparency can be created across the data landscape, without comprising on data security or data privacy, many redundancies can be detected and exposed. This, in turn, can lead to further identification of inefficiencies in business processes.

Just as systematic governance of financial data has created transparency and accountability, while preventing inefficiency and waste, we believe that systematic governance of core business data can yield a plethora of benefits. The Master Data Governance Suite provides the ability to generate these benefits.

Requirements

Project Managers who need a comprehensive understanding of the data environment, often requires the ability to :

#	Requirement	Available
1	Create an inventory of all data and information assets by scanning the environment	Yes
2	Understand the patterns present in the data through profile and analysis	Yes
3	Recognize all fields containing important business identifiers	Yes
4	Establish the distribution of business data across the enterprise	Yes
5	Map together organization related semantic domains across the data landscape	Yes
6	Verify each business domain using rules	Yes
7	Audit master data	Yes
8	Establish accountability for data quality	Yes
9	Ensure data compliance	Yes