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