The importance of data is growing as everyone uses data to make decisions. Companies are focusing on analyzing large data sets, which help them to make winning business decisions. This data is stored in a tools known as a data repository and other popular names include data archive and data library.

Data Mining is the practice of using a wide range of algorithms to search and analyze large stores of data to predict trends and patterns that can influence the outcomes. You can use this data to mitigate risks, increase revenue, capitalize on new opportunities and improve customer relationships by using a broad range of techniques.

High-quality data is one of the greatest drivers of revenue for a modern business in this era of digital disruption. Data-driven companies are highly dependent on the latest technologies and artificial intelligence to be able to process and get the best out of their data assets.

Data Lake is a system where we can store unstructured and structured data and also a method helpful in organizing huge volumes of diverse data from multiple sources.

Reference data is the subset of the master data which is used for data classification and is the most shared class of data in an entire organization.

In the era of the enterprise data-driven world, it is vital for organizations to clearly define and understand the business terms across business to achieve success.

GRC (Governance, Risk Management and Compliance) is the term used to describe the company\’s approach in addressing risks, staying compliant and managing the company\’s direction and GRC strategy

Data becomes an asset when it is harnessed and managed effectively. Enterprises face numerous challenges regarding data such as data duplication and multiple references that decrease the data value.

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,