Because the big industry of big data 10 is changing.

Because the big industry of big data 10 is changing.

Entering the era of big data is a game that will be eliminated if it can't keep up. Whether you are an independent physical store or the next "unicorn" in Silicon Valley, it is imperative to adopt big data strategy in business decision-making. This is not so much because data is valuable as because data is changing the way business operates.

Last year 10, in the research report jointly released by Accenture and General Electric, this urgency was pointed out in a breakthrough way. 89% of respondents believe that companies without big data strategy will suffer losses in market share and development momentum next year. Although the report focuses on industrial internet and medical care, its conclusions still have great enlightenment to other industries.

In about one year, 10 industries will undergo rapid changes due to the big data strategy. In fact, 84% of enterprises believe that big data will reshape the competitive landscape in the coming year. Therefore, even if your industry is not in it, it's no harm to pay attention to the companies around you that are experiencing such great changes.

10, energy industry technology and Internet of Things have subverted the energy industry. From the microscopic point of view, there are intelligent air-conditioning equipment like Aros of Quirky Company, which can not only learn user habits and temperature preferences by using data, but also keep the room cool and comfortable, and hardly need to waste too much energy. From a macro perspective, there is an intelligent network covering the whole country. This pilot project collects a large amount of energy use data, which helps us to form better energy use habits and reduce carbon emissions and unnecessary energy use.

9. Real estate industry Real estate is the backbone of the market. In 2008, we saw the negative side of this force, but fortunately, it only had an impact on the individual scale. Visible, real estate may bring rich personal income, may also cause a devastating blow to personal assets-just need to measure the risk. So if there is a way to avoid this risk, ...

Big data is the answer, which will improve the quality of real estate transactions and reduce investment risks from three aspects. First of all, the way of asset analysis will change. These data can be used to analyze the quality, life and structural integrity of real estate. "Is the narrative credible?" "Is it necessary to apply for a loan?" Will find the answer from big data analysis. Second, big data will lead to smarter transactions. After evaluating the investment of a large number of customers, we can provide smarter solutions to complete the transaction faster. Third, big data will improve the level of property management. Data can help to find and repair faults faster, and the application of smart home technology can reduce the adverse effects caused by many accidents.

8. The insurance industry has never received so much attention as in the past five years. Of course, this is largely due to the president's legislation in this field, but at least people have noticed the inherent defects and complexity of this system.

Insurance companies must consider the agreement from all angles: what is the best solution for insurance suppliers, what is the smartest choice for customers, how to attract as many users as possible, and how to reduce the overall risk ... From this point of view, the insurance industry will be a fertile ground for big data change.

In fact, big data is changing the industry: using big data to improve the efficiency of claims analysis, providing more targeted solutions for individuals, anti-fraud and even providing medical care methods for patients.

MetroMile, a self-service insurance startup, provides customers with the auto insurance business of "how many kilometers to drive and how many premiums to deduct", that is, the premiums are calculated by mileage. MetroMile said that this business can help customers who don't drive often save an average of $500 a year in premiums.

In general, big data analysis in the insurance industry can promote the rapid iteration and continuous improvement of the system.

7. Music industry In recent weeks, you may have read a lot about the gains and losses of companies such as Spotify and Tidal. Although the music market has shrunk rapidly in the past decade, artists' record companies are still trying to find ways to make money from everyone, including artists, not just by increasing concert tickets or forcing artists to travel around the world 364 days a year.

The problem is that they haven't found a good way to make money. Taylor Swift didn't agree to become a member until Spotify solved the problem of how to pay the real salary for the artist's streaming music. No one wants to spend $20 a month on Jay Z's "hi-fi" songs. They can listen to them on Spotify for free.

One possible solution is to cooperate with advertisers. The big data collected on social media shows that, especially on Instagram, the brand cooperation between brands and artists, that is, artists as brand photographers, can bring considerable profits to both parties without damaging the image of artists.

Based on the connection between social media and streaming music websites, statistics of people listening to music become easy to obtain. Record companies can and have begun to use these data for strategic cooperation with brands, which can pay for artists' branded music and videos.

6. Big data in the aviation industry will break the gap between information and the aviation industry, especially in the field of commercial air travel. A large amount of data collected from business trips every year, even daily data, is still of great use in planning routes, making incentive plans and promoting sales.

You can do quality control first. A study by IBM shows that a large amount of data collected in flight can quickly reduce the cost of equipment and maintenance, which will undoubtedly make airlines more competitive in the market, reduce fare costs and ultimately promote sales. At the same time, flight data can also help save time, reduce delays and improve baggage management, and even provide intelligent guidance for subsequent flight recommendation and customer retention.

5. Telecommunications If you have seen the documentary citizenfour about NSA whistleblower edward snowden, then you should have understood the connection between telecommunications and data. Using metadata seems to make your Instagram photos reveal your location. But in the following case, this is not the reason why data has changed the telecommunications industry.

T-Mobile collects all customer data, divides them into six categories, and makes a complete customer behavior analysis. The final analysis reduced the customer churn rate by 50%. In short, big data analysis helps T-Mobile find out the factors that affect customers' decision whether to continue to use telecommunications services, and then become the basis for them to make adjustments.

4. Consumer goods industry Regarding big data, there is no need to say more about the changes in the consumer goods industry. In fact, only two words are enough, supply and demand.

You may have noticed that most coffee shops have replaced bulky and old POS machines, such as Square solution, with lighter iPad-style POS systems. Square is a small-scale credit card processing system, which can help physical merchants collect a large amount of customer data, which also means that independent merchants can easily collect data themselves.

The first and most important thing of these data is to provide intelligent guidance for mobile goods and supplies, and at the same time help businesses to prepare for bulk purchase, better understand the statistical information of consumers, and help businesses operate more efficiently. Big data can provide better analysis for everyone's top priority (business accounts and consumer needs).

3. Hotel management industry Hotel management industry is immortal-no matter what form it exists. We are always traveling, we always need holidays, we just need to solve the problems of travel mode, place and time. Some companies rely too much on this model and ignore the changes brought by the sharing economy, such as the changes brought by companies like Airbnd. But there are also companies like Duetto, which bring new competitiveness to this market. Translator's note: Airbnb, a service-oriented website, contacts tourists and homeowners with vacant rooms for rent. Duetto, SaaS hotel price management service provider

Duetto provides hotels with data on customers' behaviors and habits, helping them to manage room reservations, adjust room pricing and even predict demand. People are always traveling, which produces a lot of data for hotels to use. Duetto makes these data easy to obtain and analyze.

The game industry has been an explosive industry in the past ten years. With the release of Halo 5: Guardian this fall, the game earned $3.5 billion for Microsoft worldwide. This series alone not only propped up the sales of Xbox One, but also became a strong competitor of Sony PS4. Translator's Note: Halo, one of the first-person shooter games released by Microsoft.

However, these two companies are not the only ones in the game industry. World of Warcraft Steam game platform has contributed to the vitality and prosperity of the market, with more than one billion loyal fans participating. Now the game industry has also begun to use big data to further enhance the experience. We have come a long way since the birth of NES game platform 30 years ago.

Social connections and large-scale online multiplayer games will generate a large amount of data, which can be used to improve the player experience as a whole. With the continuous iteration of the game and the download of content updates, it is quite easy to get feedback and react immediately to improve the user experience.

1. The data storage industry is ultimately the data storage industry. Because of the large amount of data and the different characteristics of all walks of life, it is urgent to find a way to store warehouse data, which does not need a large number of servers or a cumbersome CRM system.

Box solutions came into being. They hope to subvert the method of commercial storage and utilization of data, so that companies of all sizes can easily analyze and process data and benefit from it.

No matter what industry you are in, the market structure has changed. Quickly break down the barriers of your industry and data, or your company will become a backward member of the market.

The above is what Bian Xiao shared with you, because the big industry of big data 10 is changing. For more information, you can pay attention to the global ivy and share more dry goods.