1. Understanding and targeting customers
This is by far the most widely du known application area of big data bai data. Many companies are keen on social zhi media data dao, browser logs, text mining and other kinds of datasets to create predictive models through big data technology, so as to have a more comprehensive understanding of their customers and their behavior and preferences.
Using big data, U.S. retailer Target Corp. can even predict when a customer will have a Baby; telecom companies can better predict customer churn; Walmart can more accurately predict product sales; and auto insurance companies can get a truer picture of what customers are actually driving.
Ski resorts use big data to track and target customers. If you're an avid skier, imagine receiving invitations to your favorite resorts; or receiving text alerts about customized services; or informing you of the best lines to ski 。。。。。。 Also provide interactive platforms (website, mobile app) to record daily data - how many slides, how many overrides, etc., share this information on social media, and judge and compete with each other and your family and friends.
Besides that, government campaigns have also introduced big data analytics. Some attribute Barack Obama's victory in the 2012 presidential election to their team's more impressive big data analytics skills.
2.
Improving healthcare and public ****ing health
The ability of big data analytics to decode entire DNA sequences in minutes can help us find new treatments and better understand and predict disease patterns. Imagine a future where clinical trials are no longer limited to small samples, but include everyone when data from all wearable devices, such as smartwatches, can be applied to millions of people and their various diseases!
Apple's ResearchKit, a health app, effectively turns cell phones into medical research devices. By collecting relevant data from users, it can track how many steps you take in a day, or prompt questions about how you're feeling after chemotherapy and how Parkinson's disease is progressing. Researchers hope the process becomes easier and more automated, attracting more participants and improving the accuracy of the data.
Big data technology is also beginning to be used to monitor the health of premature and sick babies. By recording and analyzing each baby's every heartbeat and breathing pattern, symptoms of bodily infections can be predicted up to 24 hours in advance, allowing for early intervention to save babies who are vulnerable and could have life-threatening conditions at any time.
More importantly, big data analytics help us monitor and predict periods of epidemic or infectious disease outbreaks, and data from medical records can be analyzed in conjunction with some social media data. For example, Google predicts flu outbreaks based on search traffic, and while that predictive model didn't work in 2014 - because just because you search for "flu symptoms" doesn't mean you're actually sick - the impact of this kind of big data analytics is becoming better known.
3. Providing personalized services
Big data isn't just for companies and governments, but for all of us, who can benefit from data collected by wearable devices like smartwatches or smart bracelets. Jawbone has been able to collect up to 60 years of sleep data, which it analyzes to provide unique insights to each user. Also benefiting from this is the online platform "Finding Love," where most dating sites use big data analytics tools and algorithms to match users with the most suitable candidates.
4.
Understanding and optimizing business processes
Big data is also increasingly being used to optimize business processes, such as supply chain or delivery route optimization. Tracking goods or transportation vehicles through positioning and identification systems and optimizing transportation routes based on real-time traffic road condition data.
Human resources business processes are also being optimized using big data, with Sociometric Solutions using sensors embedded in employees' badges to detect their workplace and social activities - which workplaces they are walking around in, who they are talking to, and even what tone of voice they use when communicating. In use, Bank of America found the best-performing employees in its call centers - who developed a system of rotating group breaks - improved their performance by an average of 23 percent.
If RFID tags are attached to cell phones, keys, eyeglasses, and other carry-on items, they can be quickly located in case they are accidentally lost. Imagine a future where smart tags might be created to stick on anything. They can tell you not only where the object is, but also feedback on temperature, humidity, movement status, and more. This will open up a whole new era of big data, with the "big data" sector looking for ****ty information and patterns, and the "small data" sector breeding therein focusing on individual products.
5.
Improving cities and nations
Big data is being used to improve every aspect of our cities and nations. Many major cities are currently working to build smart transportation. Vehicles, pedestrians, road infrastructure, and public ****service locations are all being integrated into smart transportation networks to improve efficiency in the use of resources and optimize city management and services.
The city of Long Beach, California, is using smart water meters to detect illegal water use in real time, helping some homeowners reduce their water use by 80 percent. Los Angeles is using data from magnetic road sensors and traffic cameras to control traffic light signals to optimize traffic flow in the city. It is estimated to have controlled 4,500 traffic lights across the city, reducing traffic congestion by about 16 percent.
6. Enhancing scientific research
The limitless possibilities of big data are changing scientific research. The European Center for Nuclear Research (CERN) has 150 data centers spread around the world with 65,000 processors capable of analyzing 30pb of data volume at the same time, and this kind of computational power is affecting scientific research in many fields. For example, census data and natural disaster data, which are needed by the government, become easier to access and analyze, thus creating more value for our health and social development.
7. Enhancing the performance of machinery and equipment
Big data makes machinery and equipment more intelligent and automated. For example, the Toyota Prius is equipped with cameras, GPS, and powerful computers and sensors that enable it to drive itself without human intervention, and Xcel Energy has launched the first tests of its "smart grid" in Colorado, installing smart meters in customers' homes and then logging on to a website to view their electricity consumption in real time. Electricity consumption. The "smart grid" can also predict usage so that utilities can plan for future infrastructure needs and prevent running out of power. In Ireland, warehouse workers at grocery chain Tescos wear specialized armbands to track the distribution of goods on the shelves and even predict when a task will be completed.
8. Strengthening Security and Law Enforcement Capabilities
Big data is widely used to improve security and law enforcement. The U.S. National Security Agency (NSA) utilizes big data technology to detect and prevent cyberattacks (to thwart terrorist plots). Police use big data to catch criminals and predict criminal activity. Credit card companies use big data to detect fraudulent transactions and more.
In February 2014, the Chicago Police Department conducted notices and visits to "lists" generated by big data - people at risk of committing crimes - with the goal of preventing crime in advance.
9.
Improving sports skills
Most of today's top sporting events use big data analytics. The IBM SlamTracker tool, used for tennis, uses video analytics to track the performance of every player in a soccer drop or baseball game. Many of the best sports teams also track their athletes' nutrition and sleep outside of practice, and the NFL has developed specialized apps to help all teams make the best decisions based on the condition of the grass on the field, the weather, and the individual performance of the players during a study session to minimize unnecessary player injuries.
Another really cool thing is the smart yoga mat: sensors embedded in the mat provide feedback on your poses, score your practice, and even guide you on how to practice at home.
10. Financial trading
Big data is also widely used in financial trading. Most stock trading is done through certain algorithmic models that make decisions, and today the inputs to these algorithms take into account data from social media, and news networks in order to make more comprehensive buying and selling decisions. Also depending on the needs and desires of the client, these algorithmic models change as the market changes.
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