18 Big Data Examples (Common Uses in Different Industries)

By Indeed Editorial Team

Updated 13 August 2022

Published 27 September 2021

The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed's data and insights to deliver useful tips to help guide your career journey.

Big data is a large collection of complex information organisation's may collect and analyse. This data may include information about customer interactions, application usage, website clicks or sales metrics. Professionals in many industries use this data to make strategic and profitable decisions, and learning more about this concept could help you begin or advance a career in technology or a related field. In this article, we provide 18 big data examples and explain its usability in different sectors to help you understand this concept.

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18 Big Data Examples

Here are 18 big data examples to help you understand how technology professionals in a variety of sectors may use large data sets:

1. Telecommunications

If you work in telecommunications, you may use big data to determine customised plans for customers. Big data can help your team provide automated plan recommendations based on the user's usage behaviour and past data consumption patterns. For example, a phone company might analyse how much streaming data a customer typically uses to create an effective contract.

2. Finance

You may use big data in the financial services industry if you work with loans, banking offers or credit cards. To offer these services, you may create computer models to analyse the customer's credit history and customer profiles to assess and minimise risk. Also, big data can help financial institutions maximise their profits by analysing past customer profiles. For example, a banking tech professional may assess customers' preferences to determine which services they might purchase. This can help them create a more effective sales or promotional strategy.

3. Health care

If you are a healthcare professional then big data may help you analyse existing patient records. It can also help you identify the highest demand of clinical support categories, depending on your area of focus. Big data can also improve the efficacy of surgeries and medical treatments. For example, a healthcare organisation can use previous patient data to determine how effective a certain treatment route is. Professionals in the organisation can use this analysis to create more effective treatment plans for the future.

4. Cloud computing

If you work in cloud computing, you can use big data to offer customer relationship management (CRM) platforms. CRM software can blend data from multiple departments, such as customer service, syndication and marketing. When you collect and organise this data effectively, it may be easier to analyse the contents. This can help you and your team predict and evaluate performance and efficiency. You may also analyse different factors, such as prices, to help you predict how certain changes may affect performance. This can help you and your team create more effective business strategies.

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5. E-commerce

E-commerce platforms can use big data, including a customer's purchase history, search history and reviews on specific products, to display more effective advertisements customised for a particular customer. This may increase the chances that a customer purchases an item or service. Big data can also help professionals determine where they place ads. For example, they may choose to have an ad appear as a pop-up window or in a certain location on the website to attract the customer's attention.

6. Video streaming

If you work with video streaming services, you can use big data models to study what video and audio the user prefers. You may collect and use data metrics, such as time, trends and content quality, to display related recommendations. You can use this data to create more effective video suggestions, which can increase the time a user spends on your website. For example, if a user watches a music video, you can automate a process that recommends another video from the same musician.

7. Search engine optimisation

Search engine companies and services may use big data to select relevant content. Professionals in this industry may use or create big data algorithms to help increase accuracy. This helps customers find answers relevant to their search. For example, when a customer searches for local restaurants, the search engine might use location data to display accurate results for a certain area.

8. Music streaming

The music industry may depend on big data to display similar genres and artists for their consumers. Professionals in this field may use big data algorithms to recognise the moods of certain songs to create curated playlists. They can also analyse their customer data, including when customers listen to certain genres, to recommend music the customers are likely to stream.

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9. Social media

Social media professionals can enhance customer experiences by incorporating big data technologies. Professionals in this industry may use and create software systems to divide a video or image into smaller components and analyse the details. This helps them determine what details are most effective in generating clicks or views. They can use this data in a variety of ways. For example, they might create more effective suggestions or show more relevant ads.

10. Maps and geographic information systems

Big data can help professionals working with maps create predictive models. This helps them create software that can automatically suggest quicker routes, show current traffic and display accurate estimated time of arrivals (ETAs) for their customers. For example, a navigation service provider may use big data to amplify the accuracy and responsiveness of its service. This may encourage more customers to use the application or website.

11. Aeronautics

Aeronautic companies may use big data related to cargo weights, fuel usage, climatic updates and passenger information. Professionals in this industry may automatically collect and analyse this information using algorithms or computer software. This information equips them to make informed decisions regarding routes, fuel efficiency and baggage management. This can also help them make environment-friendly decisions related to travel.

12. IT consultation

IT consultants may depend on big data solutions to help them provide custom plans and services for their clients. These professionals may use algorithms and predictive models to create custom strategies. This can help them guide their clients to achieve their specific objectives or goals. For example, an IT consulting working with a client in the gaming industry may study colours, sounds and stories to determine what elements customers prefer. This can help them make targeted suggestions to improve the client's game design.

13. Media and entertainment

Professionals in the media and entertainment industry, such as a film or television company, may use customer data to create custom suggestions to attract their target audience. For example, they may offer suggestions based on the type of visual content viewers typically watch. Also, media and entertainment professionals can use big data to analyse average watch times based on genres. They can use this data to strategically offer time-sensitive recommendations that may keep the user engaged for longer.

14. Data monitoring

If you work for a data monitoring company, you may rely on big data to detect cybersecurity risks. You can use complex data sets to identify data anomalies and security wall breaches. Additionally, you can also diagnose a list of prospective root causes. This can help you minimise risk and offer more effective monitoring services for your clients.

15. Data collection

Professionals who specialise in providing data collection services often use big data. They can use specific big data software to perform fast searches through a long series of computers. They can use this processing power to create specific indexes translating complex information into understandable texts. For example, a data-collecting professional may assist a forensics team to collect and sort information related to a case. They can analyse multiple computers and create a simple index showing the results. This can make it easier to share data in court.

16. Food and beverage

Food and beverage companies may use big data models to improve their order delivery speed and to monitor ingredients inventory. Professionals in this industry may also analyse customer interactions and responses to price changes to determine the best price for items. If you work in this field, you may also use big data to study seasonal behavioural patterns based on the consumption of their products.

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17. Clothing and accessories

Companies dealing in wearable materials, such as clothes, shoes and other equipment, can improve their products and marketing services by using big data. They can collect customers' past purchase history and data to promote closely related products. They may also collect information to improve their merchandising strategies. For example, a clothing company may analyse its prices and customer purchases to set the correct price for clothes.

18. Production

Production and manufacturing companies may use big data to create efficient supply chain management practices. Professionals in this industry may collect and use data about inventory or distribution and delivery procedures. For example, a data analyst working for a manufacturing company may analyse the past year's inventory trends to determine how much to purchase for the next period.

Additional Sectors That May Use Big Data

Here are a few additional sectors that might use big data:

  • Sports analytics

  • Affiliate marketing

  • Water treatment

  • Agriculture

  • Real estate

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