Big data considered a buzz word in 2008. At the end of 2018, more than 90 percent of businesses planned to harness big data's growing power.
Note: If you did not get to read the previous post in this series click the link: Series 1 Part 7 https://www.abigdatablog.com/post/series-1-part-7-big-data-challenges
Introduction to Big data Applications:
Today, the impact of big data is immense, regardless of the industry. Big V's changed the way companies look at data today; today, the evidence is more measurable, facilitates reasoning, built a culture of analytics, and insights for data.
Big Data Examples:
Consumer shopping habits
Personalized marketing
Amazon shopping
ADs based on your online shopping or behavior.
Facebook and Google ads
Geospatial information
liveMaps
Traffic information
Identify mail packages in real-time.
Inform delays using traffic, weather, and other factors.
Monitoring health
using wearables
Asthma attacks
Heart issues
Humidity air-quality
Autonomous vehicles
Live maps for self-driving cars
Sense surroundings and vehicles
Reach the surrounding where human eyes cannot reach.
warn about the lane closures
Media and data streaming
Predictive inventory ordering
Personalized health plans for patients
Real-time cybersecurity
Real-time fraud detection
Telecommunication Industry:
Telecom sectors collect information, analyze it, and provide solutions to different problems. By using Big Data applications, telecom companies have been able to significantly reduce data packet loss, which occurs when networks are overloaded, and thus, providing a seamless connection to their customers.
Retail Business:
Retail has some of the tightest margins and is one of the greatest beneficiaries of big data. The beauty of using big data in retail is to understand consumer behavior. Amazon's recommendation engine provides a suggestion based on the browsing history of the consumer.
Traffic control:
Traffic congestion is a significant challenge for many cities globally. Effective use of data and sensors will be vital in managing traffic better as cities become increasingly densely populated.
Manufacturing Industry:
Analyzing big data in the manufacturing industry can reduce component defects, improve product quality, increase efficiency, and save time and money.
Search Engines:
Every time we are extracting information from google, we are simultaneously generating data for it. Google stores this data and uses it to improve its search quality.
Conclusion:
Today every industry leveraging Big Data applications in multiple ways.
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