Augmented Analytics refers to the integration of machine learning and natural language processing (NLP) technologies with traditional analytics tools to enhance data analysis and decision-making processes. This emerging field of analytics is designed to help businesses and organizations automate and accelerate the data discovery process while reducing the reliance on data scientists and analysts.

One of the leading providers of Augmented Analytics solutions is Tellius. The company's platform integrates AI-driven insights and automation with self-service data exploration and visualization capabilities. By doing so, Tellius enables business users to quickly and easily gain insights from their data, without requiring advanced analytics skills.

Tellius uses a variety of techniques to provide Augmented Analytics, including predictive analytics, anomaly detection, and natural language query. With predictive analytics, the platform can help businesses forecast trends, identify risks and opportunities, and optimize resource allocation. Anomaly detection, on the other hand, helps identify outliers in data sets, highlighting potential areas for further investigation.

Natural language query allows business users to ask questions in plain language, which Tellius can then translate into a set of relevant insights. This feature is particularly useful for non-technical users who may be unfamiliar with analytics terminology or who may have limited experience with data analysis. 

Pharma analytics is revolutionizing the industry by providing insights into patient data, drug efficacy, and clinical trials. Augmented Analytics, a powerful tool by Tellius, leverages machine learning algorithms to help Pharma Analytics companies make informed decisions. By automating data discovery, preparation, and analysis, augmented analytics is transforming the way pharma analytics is done.