How 10 Different Industries Use Big Data
Big data powers much of the modern world. It is one of the best research tools and is used by many companies to make more educated decisions. It is also commonly used to train AI tools ranging from LLMs to firewalls.
Every industry has a different use for big data. In this guide, we’ll briefly explore some of the main uses for big data within each industry.
Healthcare
Healthcare organizations use big data to predict disease outbreaks, identify high-risk patients, personalize treatment plans and stay compliant. Such data include electronic health records, imaging data and real-time biometric data taken from wearable tech. This all helps doctors act earlier, cut costs and improve patient outcomes.
Legal
Law firms and legal departments regularly use eDiscovery vendors to gain access to masses of documentation to help with cases. Such data can be analyzed quickly using modern search tools to find key clauses, flag anomalies, assess risks and predict case outcomes. This can save lawyers huge amounts of time previously trawling through paperwork.
Education
Many schools and universities now use big data from Learning Management Systems (LMS) to improve student outcomes. Analytics features can spot struggling students or flag up subjects and questions that students regularly get wrong in exams in order to shift academic focus.
Banking
Big data is heavily used by banks for fraud detection, credit scoring and personalized product offers. Real-time analytics of transactions can help spot suspicious activity, while masses of behavior data can be used to make decisions on interest rates or target recommendations for cards and loans.
Agriculture
Farmers have started to use big data from drones, sensors and weather models to optimize planting, irrigation and fertilization. Such data can boost yields, cut waste and improve profits for farmers. Data collected from other farms can also be shared to help with disease control.
Manufacturing
When it comes to predictive maintenance of manufacturing machinery, big data can be key for detecting issues. Big data can also be used for quality control and for keeping track of manufacturing costs, helping factories to make improvements where necessary.
Logistics
Big data plays a huge part in route optimization during shipping. Real-time GPS data combined with historic traffic data can be used to plan the fastest and most economical routes. This can help to maximize deliveries per day, cut fuel costs and improve customer satisfaction.
Retail
Retailers are more commonly starting to use customer data to forecast demand, optimize inventory and create personalized promotions. Such data can include sales data, purchase history and internet cookies. Data on loyal customers can meanwhile be used to spot demographic trends that can be used for marketing.
Digital marketing
Speaking of marketing, big data has become key to marketing agencies for spotting consumer trends and creating better targeted campaigns. Data on website traffic, email opens and social media engagements can be particularly useful for identifying good content, while keyword data is essential to SEO.
Entertainment streaming
Finally, it’s worth mentioning streaming platforms like Netflix and Spotify that use viewing data to provide recommendations. Engagement metrics also identify what people love - which can be important for helping TV streaming companies to decide which shows to renew and which to pull.