Several excellent use cases for data analysis

Today, the Internet is adding up to 2.5*10^18 bytes of data a day, and 90% of the world's data has been created over the past two years. Give a visual example of the amount of data on the Internet: assuming that every liter of water in the Atlantic represents a byte of data, the data stored across the Atlantic will be full by 2010.

From the layman's point of view, Big data is a great thing, it is really great, but there is a premise that we can effectively deal with the data. How to find useful information from huge amounts of data is the most important.

In this article we will talk about some of the big data use cases such as analysis of promotional activities, diagnosis of traffic conditions. We also talk about the methods of collecting big data and the process of processing it.

1. Online Promotion

Now a company wants to achieve business success, online promotion has become a very important means. But if there is no real-time data analysis, then it would be a dry equivalent. Successful promotions should be based on the data previously collected to determine the copy, design, interface, and audience for the promotion to be used.

Because this data can help us understand the customer's needs and market trends and opportunities. If you want to take advantage of this data, you also need to efficiently consolidate data, create a low-latency analysis system, and assist analysts with intuitive icons for statistical data.

Before the promotion begins, we need to set a performance goal first. For this reason we should be clear about the customer base and market for promotion. Then quantify the performance targets such as sales and popularity indices. The data we can collect includes sales reports, customer feedback, website statistics, and more.

The benefit of analyzing from multiple data sources is that it can provide more insights into future developments, which is unmatched by a single sales volume. Simple sales cannot reflect the changes in consumers and the environment, so it is difficult to predict the future as a reliable guarantee.

The benefits of big data in promotions can be summed up in the following points:

Targeted: This means money can really be spent on the edge, so it seems to be more investment, but in fact, can save money.
Timely feedback: Big Data real-time analytics means you can quickly adjust your play to market changes.
Lay the groundwork for future market decisions.

2. Traffic Diversion

For example, you have an important meeting in the morning, but the result is blocked on the road do not know when to get to the company, then you may have nothing to do but anxious. You can't, big data analytics can. With Big data analytics, you can pinpoint congested roads and even solve congestion across the city with real-time grooming.

In this regard do more prominent is the Google map. Google predicts traffic and advises users by collecting information such as location and movement of Android users.

But now the service is not particularly good because it is difficult for Google to gather information about what vehicles users are using at this time, and the impact of driving and riding electric cars on traffic is very different.

3. Flight and fleet management

Big Data analytics can help us reduce costs and save time on flight management. Data collected from each aircraft or vehicle fuel consumption, load, speed, road conditions and routes.

If a flight is not well planned, the cost will rise, which means less money will be made, which is why logistics companies love big data to improve transport efficiency. Data analysis can help logistics companies reduce deadhead and optimize driving routes. This will not only improve efficiency, but also make a contribution to protecting the environment.
Flight fleet management can also be combined with traffic grooming to find the most suitable driving route for the vehicle, further improving efficiency and reducing overhead.

Summarize the benefits of big data analytics for flights and fleet management:

Real-time data analysis can reduce fuel usage and reduce emissions.
Optimize the route to reduce the deadhead rate.
Provides visual aids for vehicles.

4. Intelligent News Aggregation

Now there are a lot of news applications that can be aggregated according to the interests of the user to provide the news to the user. Big data can also play a role in the production, archiving, and aggregation of media.

The amount of data generated per day in single-story journalism is based on PB and is growing rapidly. The purpose of big data analysis in the media field is to identify, classify, structure, translate, analyze and manage media content in real time. The result of the analysis is a news aggregation that is provided separately for each user.

The benefits of Big data analytics for smart news aggregation include:

Efficient information management.
Increase the immediacy of trends and data.
The economics of automated search and low latency queries.
In addition to the use cases mentioned here, Big data analysis has endless prospects for everyone to explore.

Several excellent use cases for data analysis