All You Need To Know About Building A Successful Enterprise Data Governance Strategy in 5 Steps Unlimited Data is generated every second through a plethora of sources. Due to the…

As the volume of data continues to grow at a greater scale, data continues to become an integral part of almost every process and business operation. For enterprises that are committed to becoming

By the year 2025, the amount of data generated everyday is expected to reach 463 exabytes globally. Many enterprises are collecting, storing, and interpreting data and it continues to evolve at a rapid pace. More and more new data types are going to be generated from various systems with multiple data-storage options, which will all help to gain

A Data Silo is the collection of data that is accessed by one department only and is inaccessible for the entire organization. This non availability of this data leads to data misinterpretation and may bring down data trust value,

Data is limitless in its availability, quantity, volume and nothing can stop data from growing. Data is easy to generate and transport, can be repurposed, reused and new insights can be created from the old data.

As your organization grows and adds new business units, clients, applications, etc there is a larger possibility of a huge inflow of data that has to be usable before it becomes inconsistent.Master Data Management improves data quality, streamlines data sharing, and

You can effectively manage things when you name and define them explicitly. The way you define your respective programs will influence your ability to effectively manage it and keep all your participants in sync, focus and strive towards your goal.

Master Data Management is a discipline that is technology-enabled in which Information technology and business work together to ensure stewardship, uniformity, accuracy, accountability and semantic consistency of the enterprise master data assets. Today, data in the enterprises is spread across the various departments

A professional responsible for the effective management of the enterprise data. Data steward handles a plethora of responsibilities related to data guidelines, data policies, data processing and manages the enterprise\’s valuable