Big Data Analytics is a process of scrutinizing the large data sets which are complex, and traditional data processing applications are not adequate to uncover the hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The primary objective of Big Data Analytics is to assist companies make more cautious and informed business decisions. The analytical findings can lead to improved operational efficiency, effective marketing, new revenue opportunities, better customer service, competitive advantages over rival firms and other business benefits. Data scientists, Predictive modelers and various other Analytics professionals analyze large volumes of transaction data or other forms of data that can be untapped by conventional Business Intelligence programs. Data sets are rapidly growing because they are now increasingly gathered by various information-sensing devices like Mobile, Remote Sensors, Software logs, Cameras, Microphones, RFID (radio-frequency identification) readers and wireless sensor networks. Big Data can be analyze with software tools generally used as part of advanced analytics such as Descriptive Analysis, Predictive Analysis, Prescriptive Analysis and AI (Artificial Intelligence) based Analytics.
Big Data - Big data can be characterized by 3Vs: the extreme volume of data, the wide variety of data and the velocity at which the data must be processed. Our solution help to drive the business in better way leveraging how big data is organized, analyzed and interpreted. Our Big Data Analytics service puts in place data, processes, analytics tools and visualizations, coherently, by enabling faster time to insights, and enhancing the quality and reliability of insights through exploratory and self-learning models. We help you improve business outcomes through data driven decisions. Business Intelligence – Business Intelligence solutions help organizations to realign their business strategies for better decision making. BI transformation solutions offered by Inspira are cost-effective, scalable and can significantly enhance performance across lines of businesses. BI solution helps to transform the raw data into meaningful and useful insight. BI Solutions can help an organization to reduce the total cost of ownership, Increase in data trustworthiness, reduction in time to market, benefit realization and reduction in maintenance costs. Artificial Intelligence and Machine learning – Powerful algorithm helps to bring the customer close to most optimal business problem. Pattern recognition, recommendation engine, natural language are the few algorithms that we have implemented for clients. Supply Chain Analytics - Supply Chain Analytics aims at improving efficiency and effectiveness by enabling data-driven decisions at strategic, operational and tactical levels. It covers the complete value chain: sourcing, manufacturing, distribution and logistics. Through Supply Chain Analytics we deliver growth in revenues, improve margins, manage working capital in a better way and enhance the control points across the supply chain.