Master data

Share, track and reuse simple syntax in Eclipse

What is master data?

Master data, sometimes called reference data, is critical business data that originates from and supports transactional data, but is usually not transactional in nature.

Master data should be the corporate or industry standard for data that represents slowly changing aspects of the organization:

Master data category

Possible elements

Sample Data

People

Customers, employees, shareholders, suppliers, partners, associates

„John Q. Smith, Sr.“

Locations

Head office address, branches, backup locations, departments

„2194 Highway A1A“

The company

Business units, cost centers, price lists, organizational charts, etc.

„2014Q1 Table of Accounts“

Services

Goods, services, packages, promotions

„CoSort 9.5.3 Software“

Markets

Industry/domain standard UPCs, SKUs, etc.

„UPC-E 234569“

 

The data management platform IRI Voracity and those in the IRI Workbench (Eclipse IDE) supported subset products allow you to:

Master data and master metadata in relational and flat file repositories. See here  the current Master Data Management (MDM), Master Data Modeling and Master Data Governance activities that Voracity supports.

Master data is essential for companies - it defines and controls the basic information about people, locations, services and markets. IRI Voracity and the IRI Workbench offer you the best tools for effortless master data management.

The „Find„The IRI Voracity "search" feature allows you to search your data sources for specific master data or master metadata. Whether it's customer information, product catalogs, location data or other critical business data, IRI Voracity allows you to search with precision. This saves you valuable time and resources by allowing you to quickly and easily locate the information you are looking for.

The „Define“ function allows you to precisely describe the master data and master metadata found and define their meaning. You can define standardized reference values that apply to your company or industry. This clear definition of the data ensures that all employees and systems in the company use and interpret the same information. This avoids misunderstandings and significantly improves data consistency and quality.

The „Evaluate and standardize“ function plays a central role in the processing and analysis of master data. With IRI Voracity, you can evaluate your data by performing quality checks, analyses and comparisons. In this way, you can identify and correct data errors, inconsistencies or inaccuracies. By unifying the data in a consistent and standardized form, you create a solid basis for meaningful analyses and business reports.

Data cleansing and masking are critical steps to protect sensitive or personal information and improve data quality. With IRI Voracity's „Cleanse“ feature, you can cleanse incorrect, incomplete or outdated records and remove duplicate entries. At the same time, the „Mask“ function allows you to replace sensitive data with anonymized values, so that confidentiality is maintained but the integrity of the data is guaranteed.

Once you have optimized your master data and master metadata, it is important to store it securely and efficiently. IRI Voracity supports multiple data sources and storage options. This flexibility allows you to store the data in a format that best suits your business processes. In addition, you can seamlessly use the stored data in your applications and analytics to gain valuable insights.

The „Share“, „Track“ and „Secure“ features give you the ability to securely distribute data within your organization, monitor data flow and protect data from loss or unauthorized access. IRI Voracity supports data sharing both inside and outside your organization, allowing you to control access rights and permissions. At the same time, you can track data flow and monitor data integrity to ensure that data is always up-to-date and accurate. In addition, you can create regular backups and implement a robust security strategy to protect your data from unforeseen events.