Big Data Applications | Big Data Application Examples | Big Data Use Cases | Big Data | Simplilearn

Big Data Applications Across Six Sectors

The video opens with a graph of worldwide big data market revenue from 2011 to 2027. It notes growth through 2019 and forecasts further growth.

Weather Forecasting and Disaster Preparedness

Climate patterns, wind direction, precipitation, and historical weather reports can be analyzed to identify trends and forecast conditions. The video cites a University of Melbourne tool that uses big data and applied mathematics to predict likely landslide boundaries up to two weeks in advance, potentially helping authorities prepare and relocate people.

Media and Entertainment

Organizations analyze browsing and purchase histories to target advertisements, and posts and messages to assess customer sentiment. Viewing histories, subscriptions, and likes can power personalized recommendations. Churn analysis can also identify customers at risk of ending a subscription and inform retention efforts.

The video describes the Starbucks app, which has 17 million users, as using customers’ purchasing habits, store visits, and purchase times to suggest orders, products, and personalized offers.

Healthcare

Big data supports medical research, personalized care based on patient history and health measures, and efforts to reduce readmissions. Geographic and demographic analysis may help identify where infectious-disease outbreaks are more likely.

The video also says UnitedHealthcare uses data to detect suspected online medical fraud and predict the success of disease-management programs.

Logistics

Vehicle sensors and data about traffic, weather, and orders help identify efficient routes and reduce delivery times. Workforce and vehicle data can support capacity planning, while warehouse analysis can reveal underused space and improve resource allocation.

UPS is presented as an example of a company using varied data to choose routes and update them in real time.

Travel and Tourism

Hotels can use demand data to adjust room prices during busy periods, compare competitor offerings, and tailor packages to customers’ preferences and travel histories. Countries can analyze tourism activity to identify investment opportunities.

The video cites Airbnb as using customer preferences, property details, prices, keywords, and past ratings and experiences to filter accommodation options.

Government and Law Enforcement

Governments can analyze crime records and regional safety information to support crime-prevention efforts. They can also compare graduates with relevant job openings to assess unemployment, identify areas needing development, and use public-survey responses to inform policies and services.

The video cites the New York Police Department as using data such as fingerprints, emails, and records from past investigations to identify crimes and guide preventive measures.

Content and Source

• Reviews, guides, or tutorials: No product reviews or step-by-step guide are presented; the video is an overview of applications and examples.
• Main speaker/source: Shruti, presenting for Simplilearn.