Author: targetorate targetorate

5 quintillion bytes of data is generated every day globally, which is available in different forms. It is a surprising fact that nearly 97 % of the data is unused by the enterprises,

Master Data Management (MDM) is all about creating a single source of valuable data which is used by the different departments across the enterprise. This type of data helps in addressing the data challenges and provides your business with a plethora of business benefits and competitive advantage.

Undoubtedly, Metadata is one of the critical elements that enable maintaining the value of the enterprise data. Metadata is generated from time to time collected from the source and provides the means not only in identifying but also for defining and classifying the data.

In the Era of Digital Transformation, manufacturing business systems, production units, supply chains, the Internet of Things, and Robotics to just name a few tend to generate real-time data of high importance.

In every second huge amount of data is generated from a plethora of sources globally. There is a greater need for the enterprises, on their journey towards Digital Transformation to establish a common understanding, common terminology, and consistent view of the data.

Data Catalog includes an inventory of data assets that is well organized in the Enterprise. Data Catalog uses metadata that will enable enterprises to well manage their data from time to time and It helps the data professionals or experts to collect, access, organize and enrich the concerned metadata which will support Data Governance.

Huge tons of data is generated every day from emerging and disruptive technologies such as Augmented/Virtual reality sensor technology, Robotics, the Internet of Things, and many other emerging technologies that help in Digital Transformation.

In this Industry 4.0, tons of data is generated every minute and it is a challenge for enterprises to channelize it to the appropriate directions to gain valuable insights. Data Governance is all about managing data and processes so that the data can be used as a secure, consistent, and organized asset that meets respective standards and policies accordingly.

Reference Data Management can be defined as a process which enables efficiency across the market by maintaining high quality data standards. It is also the process of managing hierarchies and classifications across business lines and systems.