Real Estate Data Analytics

Read about real estate data analytics, The latest news, videos, and discussion topics about real estate data analytics from alibabacloud.com

How beginners should learn Web Analytics III: How to start

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall "each period one sentence" The life always has the time, I know ... "foreword" is always very popular for the new handwritten article, even knows also has the friend to call me to answer this question.   Today, I also think of myself as a novice, talk about my years of learning experience, these years of work experience, these years industry development and change, and, if you want to engage in this industry, how should adapt to this change. The first chapter of this album Please see here, the second article please ...

How to subvert the Internet real estate

Every reporter Yang Lingqiang, Lu Xi, Du Ranle, and Wang Jie are from Shanghai, Chengdu and Beijing just like every coin has two sides. As we all know, the Internet is "overthrowing" the real estate business model, which is not widely concerned about the other side Yes, real estate is also subversion of the Internet business model. The physical proximity of the community to the Internet makes it easier to become a new platform for people to buy goods and services. The commercial value of developers was rediscovered as community resources changed from chicken ribs to gold. Those who have thousands of thousands of owners of large-scale real estate, the number of existing owners more than hundreds of thousands ...

The Internet is "subverting" the real estate business model

Every reporter Yang Lingqiang, Lu Xi, Du Ranle, and Wang Jie are from Shanghai, Chengdu and Beijing just like every coin has two sides. As we all know, the Internet is "overthrowing" the real estate business model, which is not widely concerned about the other side Yes, real estate is also subversion of the Internet business model. The physical proximity of the community to the Internet makes it easier to become a new platform for people to buy goods and services. The commercial value of developers was rediscovered as community resources changed from chicken ribs to gold. Those who have thousands of thousands of owners of large-scale real estate, the number of existing owners more than hundreds of thousands ...

Big data cases 1-4: How Amazon, Google, eBay, Target deploy big data technology

For companies, 100 theories are not as practical as a successful benchmark. The main idea of this paper is to find 49 samples of “doing” big data.

China with "Big data"

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

"Big Data" will change the status quo of China's industry

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

"Big Data" will change the status quo of China's industry

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

China with "Big data"

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The real value of a website may lie in the data itself

In the context of the gathering of more and more data in social media sites, Mary Wallace, a social analysis strategist at IBM Cooperative Solutions, may be able to find better ways to take advantage of the data in order to replace advertising as the main way to raise revenue. While the data will allow social media sites to get the information they need to provide more targeted advertising--as far as I can see, social media sites do have a way of doing this--but the real value of these sites may be in the data itself. Of course, the premise of this is that social ...

How does "big data" strengthen or even replace management?

Marketing executives at a sizable retail company in the United States recently found themselves ignorant of sales reports. One of its major rivals is continuing to expand market share in a range of business areas. Despite a combination of online promotions and optimized sales, her company continued to lose ground in the city. So she summoned the top brass to do a thorough study of the competition and found that the root of the problem was far beyond their imagination. Opponents invest heavily to improve the ability to collect, consolidate and analyze data from stores and apply them to each sales unit. It also links this information to the database of suppliers, ...

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