With the rising need and importance for data, many next generation technologies and data processing tools are coming into the spotlight. Today, becoming data-driven is a key priority for many advanced organizations. In order to sustain a good position in the industry, organizations need to adopt an advanced data processing tool such as augmented analytics.
Augmented analytics uses Artificial Intelligence (AI) and machine learning to augment human efforts to evaluate data. It beats the traditional analysis tools by automating data insights and providing clearer information. According to Forbes, 89% of industry leaders believe that Big Data will transform business operations in the same way the Internet did. Also, enterprises that don’t implement a business intelligence (BI) strategy to gather, evaluate, and apply that information in a meaningful way will be left in the dust. Here’s where an advanced data analytical tool like augmented analytics comes into the picture. According to a report by Allied Analytics, due to the growing adoption of next-generation technologies, such as augmented analytics, the global augmented analytics market size is expected to reach $29 million by 2025.