The big data realizes the Luangya list is how to be made

Big data realizes how the Luangya list is made

In today's big data field, big data realizes "present" has become the most concerned topic, the so-called realizes "present", is to utilize the collection of data processing to give the The so-called "cash", is the use of data collection and processing to give the enterprise to decision-making guidance, so as to bring real value and wealth for the enterprise. One of the major difficulties in realizing cash is how to apply appropriate data and big data technology in specific scenarios. So how does big data play its role in the movie and TV industry, one of the traditional industries?

Last week, the 2015 SACC China System Architect Conference organized by IT168 ended on Saturday, and many experts and industry insiders came to exchange ideas and learn from the three-day agenda of the conference. In the SACC's "Big Data Realization" session, VIVOTEK's co-founder and chief architect, Zhou Xiangjin, gave a speech titled "The Way to Realize Big Data in Film, TV and Real Estate". WISCOM is an information technology company based on big data technology, mainly providing enterprises with big data products, technology, marketing and analysis consulting services. Zhou like gold combined with his experience and company cases for everyone to talk about the application of big data in the film and television and real estate industry scenarios, and he mentioned how big data in the film and television industry, explaining a successful film and television drama is to create, the following with the editorial to review together.

"Luangya List" is a recent attention to a TV series, the degree of its fire is comparable to the year's "Legend of Zhen Huan", red all over the streets. So is it a coincidence that this drama is so hot, it just so happens that the company chose such a topic, plot, actors, and it just so happens that it is very much to the taste of most people? If not, what role does big data play in the process of filming and publicizing the show? In fact, in the life cycle of the film and television industry, big data has several typical application scenarios, and with the right methods and scenarios, big data can really bring value to the enterprise.

Scene one: investment selection

In the stage of looking for scripts, the investor will monitor the interactive property (interactive property) of each novel very early, and negotiate with the author to buy out the copyright in advance. The "Luangya Pang" has been a very popular serialized novel on the Chinese language website for many years, and the film company will monitor it and buy out the copyright from the author, and then continue to plan the actors and screenwriters, pick the right shooting location, and finally enter the shooting production stage.

Before the application of big data technology, a lot of investment and selection decisions are made by the company's bosses to think about the decision, and there is not much reference data. And with the advent of big data, it can help companies monitor early data. For example, what novels are currently hot on major online platforms, which groups of people they affect, whether these groups are the ones the production company itself cares about, and what their income levels are. Movie and TV companies are able to buy out a suitable novel along with its author at the budding stage, this kind of advance opportunity was unattainable in the past, and big data technology has been able to help the company to make this kind of decision, and the value of the data has also been reflected.

Scenario 2: Planning and Casting

In the past, in the planning stage of the script, screenwriters often encountered a problem, the general content of the novel is very long, if the TV series will be a complete display of even hundreds of episodes, then the screenwriter based on what to streamline the script? What plots should be deleted and what characters should be selected? At this point the screenwriter needs data support. Zhou like gold in the speech to a real case for everyone to explain how big data to assist in decision-making: "there is a TV series will be released next year, we help it to streamline the script of what to do? We will dig into the comments of people in each of the more than 1,000 episodes of the novel, whether they have stepped on or liked, and which bridge they have mostly praised, and then collect and sort out all kinds of related data one by one, and select the most popular contents for the scriptwriters to use as references. The screenwriters can then write scripts around these contents."

Scenario 3: Shooting Promotion

During the shooting process, producers will usually show some footage and posters first, which can generate a lot of data with reference value, such as whether the drama's plot, a certain actor, or a certain bridge segment is popular. Big data can help these companies collect statistics on viewers' intentions and the amount of discussion on social media platforms, and based on this data, film and TV companies can more accurately produce and schedule movies, and if there is a lot of discussion about a hot drama, they can schedule it for prime time.

Besides that, Zhou said, the above can trigger another demand point, which is to use the data to precise marketing budgets. Zhou said: "We have learned from a U.S. partner that they have a large amount of marketing budget to invest every year, but the marketing budget is the value of the marketing company reported, the film and television companies do not know whether it is worth investing these amounts of money. At this point, he needed to monitor public opinion to determine whether the investment was correct, and our company was able to do a good job of monitoring public opinion and telling him whether the investment was as effective as the marketing company had told him. And this company is one of Iron Man's investment company, DMG Media."

Using big data, film and television companies from the initial selection of material to be able to take advantage of a lower price to buy out the novels, and then write the script, to the final shot to publicity, each step of the way after a precise collection of information data calculation. All unknown factors are dispersed into the various steps, one by one to respond to the collection and analysis of data, greatly reducing the risk of investment and production. Even the selection of actors and actresses can be done in advance by posting test makeup photos to the Internet and collecting the audience's comments to make the final decision. The movie and TV drama produced according to the audience's taste, still worry about the poor ratings?

How to build a big data system that adapts to the scene?

Big data is based on a huge amount of industry data to solve a particular problem. And "an industry data can solve all the problems", the proposition itself is a proposition, big data must be attached to a specific industry, to be able to solve a specific problem in this industry.

For practitioners in traditional industries, they are not sensitive to the technical terms of big data, and their acceptance of big data technology is limited. Their primary concern is which problems big data can solve for them, and big data is valuable to them only if it can respond to real problems. Secondly, traditional industry users do not understand how to protect data, users are afraid of their own data being stolen, sold, data security and data privacy is another big problem they worry about. Therefore, different from the traditional system architecture, want to serve such traditional enterprises, the establishment of the system architecture must be very stable in order to have a more permanent development. Zhou like gold in his speech and shared with you to build a suitable big data system architecture, they have over the years to get the experience of the steps:

1, to understand what kind of problem the customer wants to solve

2, what kind of application we can develop for him

3, we can use which kind of technology to support this application

The above is the editorial share for you The big data to realize the Luangya how to make the relevant content, more information can be concerned about the Global Green Ivy to share more dry goods