Data Analytics Services in India

Data analytics is the process of examining raw data to identify patterns, discover insights, and answer critical business questions. It plays a crucial role in defining strategy and shaping the future of businesses. With the right techniques, companies can turn data into actionable intelligence.

At Microbase Infotech, we provide comprehensive data analytics services in India to help organizations make informed decisions, predict trends, and drive growth.

Process Applications And Languages Used for Data Analytics

Descriptive Data Analytics is the process of data analytics that starts by providing descriptive data’s by using conventional indicators like Return on Investment (ROI), Key Performance Indicators (KPIs). Sometimes it includes the trends by summarizing the descriptive data has and excludes the direct indications. Next is to extract the data by using the advanced tools to predict and to discover the tools including the usual stats along with the machine learning, data sets and common computation power. Technologies as if sentiment analysis, neural networks and natural language processing are used which provides acuteness of data. Big data analytics helps to state the conclusion from many complicated data has to know about the success and failures for the shareholders by relevant data collection, processing and analyzing and finally visualization of data.

Diagnostic Analytics states about explanations of the queries. In this method of analysis, they collect the descriptive analysis data and go down in depth to know about the causes so that they can be analyzed for improvisation. Predictive Analysis says the answers for the prediction of the future. This takes the data from the history, finds the trends and states the condition of repetitions to predict about the future using decision trees and regression. Prescriptive Analysis uses predictive analysis to inform about the possibly needed decisions with vagueness. Various applications as well as programming languages can be used in the process of data analysis. Python, SQL, and R can be considered as the most effective programming languages that can be use in this process.