Category: blog posts

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.

As the enterprises keep growing, they come across many challenges with Data. The correct and useful data adds more value to your business and on the contrary, inaccurate or poor data quality can have a huge impact on your business too, as most of the enterprises’ vital decisions depend on the data.

Data Governance Policy consists of a document with a set of guidelines to ensure that an enterprise information and data assets are managed consistently. The Data Governance Policy contains the practices, principles and standards that the leaders of that particular Enterprise have determined to ensure that they protect and have high quality data.

Modern day businesses are growing rapidly and every day systems process a plethora of transactions which will create huge amounts of new data such as adding new vendors, material, customer, payments debits and credits etc.

With the increasingly diverse and volume of data, keeping a track of your data becomes vital to make informed decisions. Globally many enterprises collect, generate & process tons of data. Data Governance includes collaboration of people, technologies, process, and policies.

The process of Data Governance is constantly evolving and paving the way for data-driven enterprises Globally. As the amount of data created with digitization is unbelievable, the process of Data Governance ensures the right people are involved in the integration of data

Data Governance can be defined as the efficient management of the data for validation and accuracy as per the standards, requirements or rules as per the Enterprise. Undoubtedly, Data is one of the most important assets that organizations have.

Data of the Enterprises serves as one of their largest sources of business value. Data Governance deals with managing the accuracy of digital records, integrity, data quality, and ensures security of data in enterprises according to their policies and standards of Data usage.