Big data analytics for the coatings industry in the data age.

China Coatings network
: With the advent of the era of big data, big data analysis also came into being. Big data, the word for the hottest IT industry of the day, is exploding in capacity, diversity, and growth, testing the data processing and analytics capabilities of modern enterprises, while providing them with plenty of opportunities to gain richer, deeper, and more accurate insights into market behavior. For businesses, the news that they can get new value from big data is exciting.
, the era of big data is coming, so what does big data mean, and what will it really change? How to unearth "real money" from big data is a real challenge. Answering from a technical point of view alone is no longer enough to demystify. If it's a must, big data is just a guest language, then it doesn't make sense to leave the human discourse. So we need to put big data in the human context and understand it as the power of change in the times.
As a common means of analysis, we may wish to turn this theme into a "
coatings
industry" to analyze the impact of big data on the coatings industry, and to understand why big data analytics can bring about the power of the era of change in the coatings industry.
2012, the term big data was increasingly mentioned, and it was used to describe and define the huge amounts of data generated in the age of the information explosion and to name the technological developments and innovations associated with it. It has appeared on the cover of the New York Times Wall Street Journal column, entered the White House official website news, appeared in some of the domestic Internet-themed lecture salons, and even by the smell-sensitive Guojin Securities, Guotai Junan, Galaxy Securities and other written investment recommendations.
data is expanding and growing rapidly, it determines the future of the enterprise, and while enterprises may not be aware of the dangers of data explosion, over time, people will become more and more aware of the importance of data to the enterprise. The era of big data poses new challenges to human data mastering capabilities and provides unprecedented space and potential for deeper, more comprehensive insights.
when social networks are not yet popular and online shopping is not so hot, the Internet is at best an intermediary for content dissemination. Now, however, with the rise of social networks and online shopping becoming a habit, the Internet is no longer just an intermediary and platform, as Facebook says, a "new world". In the Internet space, people (or netizens) in addition to browsing or absorbing their own information, people also form a unit, their words and deeds are revealing their own joy and sorrow, living habits, work mentality, shopping desire and other factors. Then, the Internet users related data integration, analysis, the achievement of today's "big data."
, the problem arises, and the paint industry is puzzled that the era of big data is not primarily aimed at the IT industry? When and where does it have anything to do with the paint industry? In fact, "big data" is not so much a database as "big data" is an analysis and summary of the current social trends in human behavior. Big data to
coating enterprises
, what is important is the consumer's consumption behavior and consumption habits, they largely influence the research and development direction and marketing strategy of enterprise paint products, and often the coating enterprise's understanding of consumers happens to come from the analysis of consumer "big data". "Big data" can provide paint companies with more than just cold data, but also information about the market trends and consumer trends behind the data.
in this era of "big data", social media has become a necessity in people's daily lives. The development of social media is leading paint marketing into a new era.
from the dissemination of information to consumers to the era of relationships with consumers. Today
s
brands are likely to be forgotten by consumers if they rely solely on traditional media and paint distributors to make their voices heard, rather than entering the consumer's diagram;
, the era of big data based on consumer self-dissemination. Analyzing, insighting and predicting consumer preferences on the basis of big data, and providing consumers with coating products, coating information and coating services that best meet their needs, as well as delivering accurate advertising information to them, is the biggest challenge facing businesses today;
, from predictable and controllable to an era of real-time interaction and real-time communication. The performance of consumers on social media is not any regular, even the gathering of consumer network groups is also spontaneous, paint enterprises if they can not respond to these real-time consumers real-time interactive marketing, it is difficult to meet the needs of consumers, even the paint brand may also face great risks.
the social network boom, paint companies are increasingly focusing on social tools such as microblogging and QQ. Just as Apple has changed the rules of the smartphone industry, so have social tools. And paint enterprises on their own paint products publicity has also begun to diversify, and gradually penetrate into the Internet. Especially in the micro-blog, Renren and other social tools operating product promotion, publicity and other activities, due to strong interaction, participants will unknowingly leave their own relevant information on the event page, through "big data" can analyze consumer consumption goals, consumption behavior, consumption amount, consumption expectations and other information. Paint companies then integrate this information to fully understand the relevant information of consumers, thereby improving the fit between their own paint products and consumers.
the "big data era" is gradually moving from concept to real, to business. Through mathematics, statistics and computer programming, "big data" can not only analyze the future direction of coating enterprises from relevant information, but also provide important data for enterprises to deal with the relationship with consumers, such as consumer consumption expectations, consumer behavior, consumption habits and so on. I believe that in the future, with the continuous development of the Internet era and the pace of continuous progress of the coating industry, in the path of opportunities and challenges coexist, the use and control of big data is an important means for coating enterprises to achieve the desired development effect.
nearly two years, the most intense discussion in the paint industry is that the time has come for water-based paint to replace oily paint. Paint industry development to today has been counted as a mature industry, traditional oily coatings and modern innovative
water-based coatings
, who has strong advantages, or there is a special coating between the two, in line with the development needs of the times. The advantage of big data analytics is that by collecting data to predict future trends in the coatings industry, coatings companies can effectively reform and innovate.
more and more coating enterprises began to dabble in big data platform, using big data accurate analysis ability, and a large number of information base, the overall grasp of the market demand direction. For coating enterprises involved in the field of e-commerce, the significance of the existence of big data is that it can reflect the customer "big data" information through the network platform, so that Internet enterprises can more accurately analyze the behavior of users, demand mining. By providing analytics with big data, coatings companies will invest more in high-interest products. Learn from the clothing industry "explosive" strategic thinking, will be a single product to make a scale of scale, which will be a great boon for enterprises.
As a less well-known area of society, the paint industry has been "touching foreign stones across the river", of which, foreign stones are referring to Libang, Doles, Weisberg and other international famous paint brands. In China, because the relevant media or institutions on the paint industry has been low attention, all, the paint industry a lot of data value has been ignored, disappeared in the rotation of history. In the past, coating companies' perception of data was also limited to macro data, such as annual output, annual growth rate, monthly output and other macro information, consumer awareness is generally only through offline questionnaires.
1.Sample: Take some representative sample datasets (usually training sets, validation sets, and test sets). The sample size selection criteria are: contain enough important information, but also to facilitate analysis and operation. The processing tools involved in this step are data import, merge, paste, filter, and statistical sampling methods.
2. Explore: Explore your data and increase your understanding by looking at correlations, trends, and outlier values. The tools involved in this step are statistical reporting, view exploration, variable selection, and variable clustering.
3.Modify: Modify the dataset by creating, selecting, and transforming variables, targeting model selection. This step involves tools such as variable conversion, missing processing, recoding, and data bins.
4.Model: In order to get reliable predictions, we need to use analytical tools to train statistical or machine learning models. This step involves model algorithms for linear and logical regression, decision trees, neural networks, partial least-multiplication, LARS and LASSO, K-neighbor, and other users, including non-SAS users.
5.Assess: Assess the effectiveness and reliability of data mining results. The techniques involved are: comparing models and calculating new fitted statistics, critical analysis, decision support, report generation, scoring code management, etc. Data miners may not use the full SEMMA analysis steps. However, some or all of these steps may need to be repeated multiple times before you can get a satisfactory result.