Augmented analytics is the newest way to think about data and analytics. It’s the combination of two technologies – analytics and AI. It includes embedding artificial intelligence (AI), often in the form of machine learning (ML) and natural language processing (NLP), into traditional analytics. It’s considerably different from traditional analytics or business intelligence (BI) tools because ML technologies are always working behind the scenes to continuously learn and enhance results. Specifically, augmented analytics enables faster access to insights derived from massive amounts of structured and unstructured data to provide ML -based recommendations. This intelligence helps uncover hidden patterns and deviations in the data, removes human bias, and enables predictive capabilities to inform an organization of what to do next.
Let’s take a closer look at the top four reasons organizations are adopting augmented analytics to deal with the growing volume of unstructured and structured data.
Discover Oracle Analytics Cloud for Augmented Analytics
Oracle Analytics uses embedded machine learning and artificial intelligence to analyze data, helping any organization and individual make strategic actionable decisions. Augmented analytics allow companies to combine data from across any organization with third-party data and automate important and time-consuming tasks like data preparation, visualization, forecasting, and reporting. Augmented analytics with machine learning is embedded throughout the Oracle Analytics platform making the analysis of data smarter and more accurate. Technology is automated and enhanced to gain faster and smarter insights on all data visualizations, enterprise reporting, scenario modeling, and mobile analytics.
Power your Data with AI
With the right analytics solution, it can help drive change and provide business specific insights that offer distinct advantages. Traditional analytics solutions will take a business only so far when attempting to make use of data. As structured and unstructured data continues to increase, businesses aim to perform more intelligent decisions than choosing to operate on anecdotal evidence and limited data. The most effective organizations are taking steps to stay ahead by using data to address challenges related to customers, operations, and all lines of business.
Many organizations are looking to quickly adopt augmented analytics solutions to remove the barriers of becoming data-driven. By using augmented analytics, every business can gain deep insights from data to make better decisions without requiring hand-holding from data or IT professionals.
Learn how the right cloud solution can work for your entire business. Read more about augmented analytics in this e-book and the new possibilities it can bring for your organization.