Big data is a predictable analysis and the task of making complex data of enormous dimensions searchable and sortable. Working in this complex and chaotic field requires patience with a special knowledge.

The fact that big data has such a complex and long-lasting structure has led analysts working in this field to be called “data janitor”.

On the other hand, big data and forecasting analysis is improving day by day. If the trend continues at this pace, by 2025, big data is thought to be convenient and accessible to everyone.

Although many big data projects are highly incomprehensible, it is still possible to find examples that affect our daily lives.

Examples of Big Data Used in Daily Life

1. Predicting Potential Viruses:

Scientists evaluating socio-political, weather and dual data, as well as hospital / clinical data, were able to predict the outbreak of dengue fever about 4 weeks ago.

2. UPS Cargo Fuel Saver:

Programmers working for UPS analyze drivers’ GPS data and data from their smartphones to determine the most efficient and traffic-free routes for them. This data from smartphones and GPS is enormous and not ready to be processed. Said data comes from various GPS devices, map databases and different smart phones. Programmers working for UPS work on this data for months, making them analyzable, searchable, and sortable. On the other hand, this tremendous labor also gives its equivalent. UPS has saved more than 30 million liters of fuel since it started working with big data analysts.

3. Transit Trip Planning:

Steve Melendez, who presented the program on WNYC radio in New York, USA, combined the city’s subway system’s online navigation program and a travel software. Melendez’s program allows residents of New York to select their location on the map to learn about train travel times and when the train will arrive.

4. Xerox’s Workforce Loss Prevention Method:

Working in a call center is emotionally exhausting. For this reason, Xerox has examined the large databases with the help of professional analysts and has developed ways to ensure that the staff to be recruited for the call center are permanent in the company.

5. Terrorism Support:

Security forces, who examine social media, financial records, flight reservations and security data, can identify suspected terrorists before they can achieve their goals.

6. Promoting the Brand by Using Social Media Comments:

People share their thoughts about the restaurants, bars or gyms they visit quickly and without thinking. It is possible to analyze these millions of shared comments, provide feedback to companies and tell people what they think about their business.

7. Vigil of Murder:

This project examines the profiles of murder victims, murder suspects and criminals in Washington DC, the United States. This project, which is both an indicator of respect for the memory of those who lost their lives and creates awareness, has an impressive place in the big data area.