Big Data in the Automotive Industry
Big Data is a term that describes a large volume of structured and unstructured data that constantly reaches organizations data that, sometimes, is not used properly, and it is necessary to know how to adapt it in order to obtain valuable information. The relevance of Big Data is in the use we give to the data. With Big Data, patterns and ideas can be obtained through data analysis to streamline and leverage correct decision-making and outline strategic actions.
Big Data has become an essential tool to manage the high volume of data generated by companies in the Automotive industry, obtained through sensors and the possibility of remote access to millions of vehicles that send data constantly.
Carrying out predictive analysis allows this type of industry to deliver benefits to the company’s production chain, turning data into something more than data, taking advantage of it, and using the information in an intelligent way to make decisions that optimize, for example, the features and characteristics of the new car models that are designed and manufactured, predictive maintenance, improvements to customer service, after-sales service, and reduction of stock breaks.
What is Big Data?
To better explain what Big Data is, we can talk about a set of data or combinations of data sets with a large size, complexity, and growth speed that cannot be analyzed using traditional technologies and tools such as databases, statistics conventional or visualization packages to be useful at a certain time, since this information changes over time and ends up being lost.
What is the utility of Big Data?
Big Data serves as a starting point for making good decisions within organizations as it provides answers to questions that companies did not know they had from a large amount of raw information. It is important to know that the information can be accommodated according to the needs of each company and in this way achieve the objectives that are set, this is how problems or needs can be identified easily and quickly.
Gathering information and data in large quantities, and knowing their trends, helps companies move quickly in an agile and efficient manner. Big Data analytics help organizations harness their data and use it to identify new opportunities, allowing businesses to grow and move quickly, and to learn about all possible scenarios before it’s too late and a reputational crisis ensues.
Advantages of having Big Data within the organization
- Reduction of manufacturing costs
- Fast and accurate decision-making based on data governance
- Identification of new products and services according to the results of the data analysis
- Increased quality in production
- Customer loyalty
Big Data in the Automotive Industry
The automotive sector handles a large amount of information on a daily basis, which makes structured administration and governance of these large volumes of data a necessity. The data can come from the systems provided by the vehicles, route information, weather information, market trends, etc.
With Big Data, patterns and trends in the market can be identified, which makes it possible to predict what the needs of drivers will be. These data are very important so that there can be a personalized interaction with the client and in this way be able to offer him what he needs at the right time, that the car that is sold to him is in accordance with his needs, demands, and preferences, achieving a satisfied client, generating a good reputation for the dealer or company cultivating customers, which translates into more sales.
We often forget that data is the most important asset of companies and much more so in a sector such as the automotive industry, which is always looking for innovation and automation of new technologies to offer users a better experience throughout the commercial and post-sale process…
Tableau is a market-leading business analytics platform that transforms data into insights, generating reports that are relevant, accurate, and structured. its main benefits in the automotive industry is the structuring and transparency from different data sources to information of relevance and value for users, given the amount of information that reaches the sector daily, it is essential to have a tool to support the governance of data to be able to predict and decide on better sales and marketing strategies. With an intuitive interface, this versatile business intelligence software is used by large entrepreneurs to obtain information and identify trends.
The large companies in the industry are choosing to implement Tableau to identify, through AI and predictive analysis, the best decisions to make, thus achieving customer loyalty, and more sales, since they can reach the customer’s needs and offer them a vehicle tailored to your needs, for example…
Imagine that after a heavy storm, generally, a large volume of cars require general overhaul scheduling services for maintenance and repairs. the marketing team execute calls to action and offer preventive maintenance schedules before the events.
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