Analytics In Tata Motors

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Analytics means using data and performing statistical analysis on it, applying quantitative and predictive models, in order to arrive at a certain decision. Analytics can be the first step in a process or can rather be an intermediate step as well. Analysis can be done using different set of tools that are available in the market or it can done manually using different concept and formulas. Business intelligence firms like Cognos, SAS and BusinessObjects have developed different tools that are readily available in market that assist in analysis and decision making. Analytics is used in order to find solutions to the problems and the solutions provided enables us to be successful and in the business world allow us to compete with our contenders. …show more content…

As Tata Motors is an automobile company, the raw materials required in production of a car or a vehicle include aluminium, copper, platinum, palladium, rhodium, steel and zinc. The prices for these materials have been increasing in the recent years. An increase in price of input materials could severely impact its profitability. Additionally, increases in fuel costs also pose a significant challenge to automobile manufacturers worldwide, especially in the commercial and premium vehicle segments where increased fuel prices have an impact on …show more content…

It deals with information flow or the flow of products and services. In short it is a relationship of operations and processes. One of the reasons for successes of Tata Motors was their excellent supply chain management. Their efficiency to quickly work with the suppliers in estimating the cost before their contenders is marvellous. In Nano’s case, they quickly estimated the price of the car with the suppliers. They first determined the functional requirements of all the Nano parts without even letting the public know about their intentions. Tata Motors use Ariba Spend Management as their SCM, which is a state of art cost calculating software. It has helped Tata Motors to reduce cost by helping them find new suppliers, rationalize its supply base and run on-time

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