How Big Data is Being Used in Different Industries

By Matt Brennan

As more companies are using massive amounts of data, it’s important to note that this information is responsible for some tremendous advancements across a variety of industries. From advanced recommendation engines with targeted content to custom-made medicines, it’s easy to see how the products that businesses can offer are quickly advancing with large amounts of data at the ready.

Big data is being used in different industries to provide a more personalized experience for the consumer. It’s being used to make the supply chain and production more efficient. Here are some examples.

Education

The use of data is being used to gain further insight into the learning and upgrade teaching technologies to better be able to address the individual needs of students. Data can also be used to make teaching techniques more compelling for students.

Communications, Media, and Entertainment

Companies are now able to collect data from millions of users and analyze that data to provide informed personalized recommendations to improve viewing or listening experiences. Streaming platforms are now creating content for targeted audiences, making on-demand recommendations, and measuring that performance.

Healthcare

The healthcare industry is increasingly reliant on data to create a more efficient system and improve the health of patients. When you look at advancements such as human genome sequencing and the data required for one individual, it’s easy to see the massive amounts of data this industry will rely on in the years ahead. Big data will help improve patient care and the patient experience. For example, consumers will soon be able to access custom-made medicines.

Banking and Finance

Banks have access to significant amounts of sensitive consumer financial information such as salary, and how much was paid for various purposes. This information can be used to advance decision-making and screening for loans or offers they give to users. They can use it in risk evaluation and insurance.

Consumer Goods

Data offers companies ways to more efficiently streamline inventory or even check the costs of raw materials. They’ll be able to anticipate cost fluctuations and adjust their own purchasing ahead of time. Predictive analytics can be used to save capital costs.

Natural Resources

Large amounts of data allow for predictive modeling that can open the doors to better decision-making and better use of manpower and time. Geospatial, graphical, text, and temporal data can be used to make businesses more efficient in accessing natural resources.

Big Data is Here to Stay

Data usage continues to transform the way that these and other industries can streamline their businesses and optimize their products and services. As companies store more and more data it’s critical to remember that professional data recovery services are available should they be needed. In the event that you fall victim to a natural disaster, hacking, or another form of loss or breach, there are dependable and trusted ways to regain access to that data. If you have any questions, contact us today!