As any successful company knows, data is the lifeblood of the business. But there’s a stipulation. The data must be complete, accurate, current, trusted, and easily accessible to everyone who needs it. That means the data must be integrated, managed, and governed by a user-friendly platform. Sound easy? Not necessarily. One problem that organizations…
Data quality is one of the most important aspects of any successful data strategy, and it’s essential to ensure that the data you collect and store is accurate and reliable. Poor data quality can lead to costly mistakes in decision-making, inaccurate predictions, and ineffective strategies. Data quality is essential in any organization, and there…
Poor quality data can lead to inaccurate insights, wasted resources, and decreased customer satisfaction. It is essential to ensure that all of your data is accurate and up-to-date to make the best decisions. Still, common issues and mistakes costs organizations millions of dollars annually in lost revenue opportunities and resource productivity. Thankfully, these pitfalls…
Processing data in real-time Every organization processes data in many ways. For example, batch data process still exists for heavy data-process workloads, such as payroll. Many of these data processing requirements are executed by batch scheduling software; however, there is a growing need for data processing to be more automated and processed in real-time.…
