The future of business intelligence and analytics is changing as organizations continue to recognize the importance of high-quality data. By utilizing innovative technologies, companies can gain better insight into specific markets to improve revenue and customer satisfaction.
Since data quality
is such an important aspect of these new tools, they must have next-generation capabilities like information profiling or categorizing, which enables decision-makers to quickly make sense of analyses and use the acquired knowledge appropriately. New solutions should also have the ability to detect and merge duplicate data to mitigate redundancy.
"Dirty data remains a major barrier in providing accurate and timely business analytics to end users," business intelligence expert Barry Godthelp said. "Yet until now, the cost and complexity of existing data quality solutions meant that many companies simply could not integrate or include data quality as part of their overall business analytics operations."
Business intelligence refers to the processes, solutions and knowledge used to make sound decisions that improve internal efficiency, enhance customer satisfaction or allow organizations to gain a competitive advantage. Regardless of the size of a company, decision-makers need to understand the importance of data quality and how different evaluations can improve operations.