Big data has over the past few years changed the way companies, and other business enterprises operate. Data has become an essential component of all almost all the industries that have an impact on human life. Organizations are collecting vast amounts of information from their routine business operations and storing it for future use. Big data analytics will be the backbone of how such collected information will become useful to companies. From the patterns that are already in the market, big data is going to be even more disruptive in the coming years. In this article, we are going to discuss how big data is going to transform global commerce.
Business intelligence comprises a set of data tools that are used for the analysis of business information. Business intelligence goes hand in hand with big data. Business intelligence was insufficient before big data went mainstream and was incorporated into business operations by big corporations and small companies. Business intelligence has evolved to become a legitimate career all thanks to big data and predictive analytics. Many business organizations are gearing up by recruiting experts in business intelligence who will be critical in taking the company to the next level. Any company or business enterprise that generates data can utilize business intelligence for more insights into the market, consumers and their competitors. If a company is generating data from their operations and interactions with consumers, then, it is possible to make use of business intelligence for better decision making.
The first mark of big data on business enterprises has been the creation of marketing strategies that are more targeted to the consumer. Companies are now able to use big data in the creation of targeted marketing campaigns while data analysis does not always have a 100% accuracy, it gives accuracy levels that are extremely high as compared to speculation. High data analysis accuracy levels mean that a company will able to target their marketing strategies on the needs, tastes and preferences of the consumer. Businesses can use big data analysis to identify patterns in consumer tastes and preferences going into the future. For instance, companies can be able to predict that one of their female customers is planning to get pregnant based on their purchase history. With such patterns in future consumer behavior, organizations can adjust and make informed decisions on how to improve their consumer brand experience such as the use of digital out of home advertising strategies. This results in customer satisfaction that is critical in developing a loyal clientele and expanding on a retailer’s market share.
The most critical aspect of industrial engineering is high levels of productivity and efficiency. Industrial technicians and engineers know that, without having the necessary data about a machine or a process, you can never improve its efficiency. Big data comes in handy in making industries minimize on wastage which is critical in maximizing profits. Engineers are using big data to search for ways to make industrial processes and machines run more efficiently. The analysis of big data works correctly when using the Theory of Constraints.