As the field of data analytics becomes more mature, organizations are looking for new ways to improve the way we analyze our data. In recent years, a new term has emerged in the analytics world—augmented analytics.
This new area of analytics promises to revolutionize how we analyze data by combining the power of artificial intelligence (AI) and machine learning (ML) with traditional data analytics techniques.
Augmented analytics is the use of artificial intelligence (AI) and machine learning (ML) techniques in the process of data analysis.
It goes beyond traditional business intelligence (BI) by automating data preparation, insight generation, and even decision-making.
This means that augmented analytics tools can help users explore and analyze large amounts of data in a faster, more efficient, and accurate way.
With this new technique, users can uncover hidden patterns, trends, and insights that may not be easily visible through manual analysis.
