Data is created almost every second whether you use the internet to study a certain topic, conduct financial transactions online, purchase meals, or anything else. The usage of social networking, internet commerce, and video streaming services has all contributed to...
As data volumes increase, getting value from every byte becomes more difficult. The data world is evolving. Moving and maintaining data is becoming increasingly complicated and expensive due to explosive expansion, retention issues, data gravity, and varying value....
Data is one of the most precious assets a company can have. This encompasses everything from client data to patient data and everything in between. Data assists firms in understanding what they are doing effectively and where they may improve to meet their objectives....
Productivity is being killed by repetitive tasks that consume time and energy. It takes too long to organize, update, and manage data across several platforms. When your employees are continuously annoyed by the quantity of tiresome work they are involved in, their...
Data analytics is a great way for auditing that lets any audit team identify risks better and strengthen the overall audit methodology that they use. It usually seems that the most technologically leading auditors can apply data analytics for auditing. But analytics...
Big data enables organizations to create fresh development prospects while making them constantly competitive with their rivals in the market and offering a seamless consumer experience. Enterprises should have well-curated, high-quality data lakes, though, since they...
The IDC DataSphere forecast report predicts that global data creation and replication will have a 23% compound annual growth rate between 2020 and 2025. Another study by Statista suggests that global data creation will grow to over 180 zettabytes during that same...
Data lake tools are an additional analytical support tool since they enable business intelligence (BI) tools to directly access data as needed. Data lakes prove to be an ideal solution for organizations seeking to aggregate all data from several data sources in one...
An enterprise data warehouse (EDW) is a relational data warehouse/database or a group of databases that collects business data such as customer information of an organization from many sources and applications, stores that data, and centralizes it for use in analytics...
In the late 1980s, data warehouses were created to help data move from operational systems into decision-support systems (DSSs). These early data warehouses required a tremendous amount of redundancy. Most organizations maintained numerous DSS environments for their...