Data Analytics help someone to find what will happen next or what is going to be next because Data Analytics helps to predict the future value. Whereas Data Analysis works on past dataset to understand what happened so far from data. Data analytics and data analysis both are necessary to understand the data one can be useful for estimating future demands and other is important for performing some analysis on data to look into past.
Data Analysis is a 'SPECIALIZED' form of Data Analytics used in Businesses to analyse data and take some insights on it, whereas Data Analytics is a 'GENERALIZED' form of analytics use in businesses to make decisions.
Data Analysis is a process of defining data, cleaning, transforming the data, whereas Data Analytics is a process of Data Collection and inspect in general.
Data Analysis can done by Tableau, NodeXL, Google Fusion Tables, and can be used in various ways like Descriptive Analysis whereas Data Analytics can be done by R, Python, Excel, Apache Spark. Data Analysis , Predictive Analysis etc, and can be used to find hidden patterns, customer relationships, market trends.
