5 Things You Should Be Aware Of When It Comes to Data Mining
5 Things You Should Be Aware Of When It Comes to Data Mining
The majority of people spend approximately twenty-four hours per week online. They give out enough information during that time period for big data to learn a great deal about them. While having others collect and compile your data may seem frightening, it may have been beneficial in the past.
If you've ever been surprised to discover an advertisement targeted toward a topic you were discussing earlier or an invention based on something you were googling, you already understand how data mining can be beneficial. Advanced education in data mining can be an incredible resource, and it may pay to hire a personal tutor who is knowledgeable in the field to assist you.
It's natural to be suspicious of a system that gathers all of your information online in order to learn more about you. Fortunately, given the volume of data generated daily, it is improbable that data mining will focus on any of your critical information. Here are some statistics about mining that you should be aware of.
Data Mining Is Used In Crime Scenes
The Los Angeles police department and researchers were able to predict crime within five hundred feet using a variation of earthquake prediction software and data. As they gain proficiency in compiling and comprehending additional data patterns, crime detection will become more accurate.
The Los Angeles police department was able to reduce thief activity by 33% by utilizing their data. Additionally, they were able to forecast violent crime by approximately 21%. These are not perfect numbers, but they are significantly better than they were previously and will continue to improve over time.
It's incredible that data mining can pick up on crime statistics and compile them into an accurate picture of where crime is likely to occur. It provides a focal point for investigation and has the potential to help prevent crime before it begins.
It’s Helping with Predicting Disease
Google began working on predicting the winter flu in 2009. Google analyzed the fifty million most frequently searched terms and compared them to what the CDC discovered during the 2003–2008 flu seasons. With this information, Google was able to assist in forecasting the next winter flu outbreak, down to the states hardest hit.
Since 2009, data mining has significantly improved its ability to predict disease. Due to the fact that the internet is a relatively recent invention, it is still growing and data mining is improving. Hopefully, in the future, we will be able to accurately forecast disease outbreaks.
There is hope that doctors will be able to narrow down heart problems using new data mining techniques and medical research. As information grows and more data is entered, the medical field moves closer to using data to solve problems. It is something that will aid in the faster treatment of diseases and the identification of the source of a problem.
Data Mining Helps With Sales
A great example of data mining in sales is Walmart's placement of beer near the diapers. According to the story, it was discovered through statistical analysis and data mining that when men purchase diapers, they are also likely to purchase a pack of beer. Walmart gathered this information and put it to good use by placing beer next to diapers.
Although the degree of truth in that story/example is debatable, it has increased data mining's popularity in the majority of retail stores. Discovering which products are frequently purchased together can provide insight into the best locations for products in a store. This practice has significantly increased sales of both items simply because people tend to purchase items closer together than they would if they had to walk to the second item.
Putting a high premium on the data-collection teams that large retailers establish does not always work. There have been numerous instances where data teams have failed and sales have suffered. Often, the benefits outweigh the risks, and many stores now use data mining to make numerous large-scale sales decisions.
Some Data Mining Gets Ignored
Surprisingly, only a small percentage of the data that businesses collect from you is actually used. Around 88 percent of the data held by "big data companies" is not used. It is exceedingly difficult to utilize the millions of bits of data that pass through big data companies on a daily basis.
The more people used for data mining and the more data businesses are able to filter, the better the online experience will be. While it may be unsettling to consider someone monitoring your online activities, no one will have access to any of the information you keep private. Big data is the process of analyzing the information you publish into the world and using that data to draw conclusions and improve the world.
At any given time, an enormous amount of information is uploaded to the internet. The average person spends twenty-four hours per week on the internet, but there are plenty of people who spend more time than that. All of that data requires a large number of people to sift through, and there are currently insufficient people working in the data mining industry to actually sift through the majority of the data being posted online.
Too Many Data Mining Jobs
Contrary to popular belief, the data industry is booming. In general, there are an incredible number of career opportunities available on the internet every day. The industry is growing at such a rapid pace that there are insufficient workers to fill newly created jobs.
Due to the industry's talent shortage, there is plenty of room for newcomers. By 2018, it was predicted, there would be a shortage of 140,000 individuals with advanced analytical skills. Given the scarcity of jobs discussed, it's remarkable that there is such a shortage in the data industry.
If big data can only sift through less than half of the data collected, we are squandering a valuable resource. The more people who pursue careers in analytics or computer science, the more data we can collect and use. There are currently more data mining jobs than there are data mining professionals, and this imbalance needs to be addressed.
In Conclusion
The data mining industry is advancing at a rapid pace. Big data companies are attempting to use the information they collect not only to sell you more products, but also to improve the world. Additionally, there is something extremely convenient about your computer anticipating the type of items you wish to purchase and presenting them to you immediately.
Data mining has been successful in assisting in the prediction of crime in Los Angeles and lowering crime rates. Additionally, it has assisted businesses in determining which items are frequently purchased together, allowing for more efficient store organization. Data mining has even been used to forecast disease outbreaks down to the state level.
Despite the fact that so much data is being ignored and so many jobs are being left vacant, data mining is accomplishing incredible things. The internet as a whole is constantly expanding, and data mining is following suit. As the data mining industry grows and more people pursue careers in data mining, we will learn more and uncover more facts.
Courses and Certification
Data Mining Course and Certificate
Data Communication Course and Certificate
Data Science Course and Certificate
