Data Analysis plays a key role in all the fields (in Production and Operations, Finance, Marketing, Human Resource Analysis and Management) for successful market share. Data science can raise the value of any business who can effectively utilize their data. Data should be at the fingertips of each organization’s leader to make strategic decisions. The proposed work presents heterogeneous types of data analysis techniques that are useful for changing the needs of the business. This study showcases how effective data analysis is carried out both qualitatively and quantitatively. The utilization of data analysis is to identify and distinguish the relationship in data and the trends among the factors which represent the data. It plays a vital role in making a business decision more effectively. With the aid of different data analysis techniques, data scientists can perform many operations on datasets that are useful for business organizations and it can also, help in many industrial applications.

The business success is critical for any organization irrespective of its size. Understanding business value and advanced technology capabilities in Business Intelligence (BI) solutions for analysis and decision making is the need of every management, researchers and analysts. Data is available at every corner, at every platform and it is being produced all the way using digital equipment. These complex data sets for analysis and decision-making can be used on various platforms and are more accessible than ever to find insights and explanations. There is an abundance of datasets and data analysts, but organizations are still unable to leverage its potential to the fullest and this perhaps is the failure of most data analytics initiatives. This paper covers the need for Augmented Analytics adoption in companies to maximize business value with respect to added advanced analytics capabilities in BI Tools for effective, accurate and timely decision making, and business analysis.