Text | Han Haiting
This article was first published: Weiyang.com
In the movie "Moneyball", the Oakland Warriors, which had just started to play in the American Professional Baseball League, ushered in the situation that the main team was poached and the funds were insufficient. In times of crisis, the team manager used mathematical modeling to analyze and analyze the players. The reorganization finally made this rotten team win 20 games in a row... In fact, during the 2014 World Cup, the German team cooperated with SAP Match Insights to collect and analyze the training data of the players. The coach can easily and real-time grasp the characteristics of each player, The advantages and disadvantages, physical strength, etc., and reasonable matching of players, optimize the team configuration and finally beat Argentina 1:0 to win the fourth championship in history.
Since then, big data management and analysis have entered people's field of vision. Big data is like opening a tunnel for me, connecting our past and leading to the future.
1. "Small Businesses" in the Era of "Big Data"
Through the research, analysis and display of historical data, we can predict future trends and development changes, thereby influencing our decision-making, making preparations and changes in advance. Big data can also discover new market opportunities, development potential and risks, helping us Design and develop new products. For a time, "big data" has become a panacea that business managers have long dreamed of, and people are flocking to it.
However, when many companies began to practice, they found that for most companies, the idea and concept of big data and its analysis may not be applicable.
When we are accustomed to discussing big data, we always use 5 Vs to illustrate: Volume, Velocity, Variety, Value, and a large number of, high-speed generation, diverse and valuable. However, for traditional enterprises, due to the low degree of informatization, the weak business development model and the Internet, and the complex product structure and process, it cannot be called a "big" concept anyway. Limited resources, product types, transaction information... Subject to the lack of data volume, data processing technology and data talents, it is unrealistic to implement big data management development and application. All of these show that real enterprises are under the big data screen Small.
At the same time, as a new thing, big data itself, its development form and development trend are not clear. Does this mean that traditional enterprises cannot enjoy the dividends of big data and share a piece of the big data era?
2. Data visualization - big application of small data
According to statistics, among the data we collect to adapt to big data: 59% of the data is invalid and meaningless; 70%-85% of the data types are too complex, and we still do not have a good theory and analysis theme to control; at the same time 85% of enterprise data architectures cannot adapt to explosive data growth and complexity growth, which means that as a business we simply cannot capture the data we imagine; most importantly, 98% cannot grasp the facts and respond in a timely manner .
The dismal figures have brought us back from our dreams to reality... We have not done enough to apply the existing information and knowledge in the enterprise.
If it is said that enterprises cannot enjoy the dividends of the big data era because the amount of data is not large enough, then the inability to effectively and efficiently process data must be a problem that we must face up to.
The fundamental of big data lies in the processing and processing of data. In fact, the theory of processing and processing data and guiding enterprise decision-making was proposed as early as 1996 by the famous market research and consulting firm Gartner Group, and defined as business intelligence. With the development of 20 years, the Big Mac bi suite represented by IBM and Oracle and pure business intelligence solutions represented by SAP Crystal F Report and MicroStrategy's TABLEAU have gradually formed in the market.
After comparison, it is not difficult to find that visualization is a unified feature of many products for business intelligence software and solutions with many categories and styles. How to correlate the data in the report and display it intuitively is the key to better understanding and discovering the secrets. Visual chart display and dynamic visual display can not only provide us with more intuitive and richer knowledge information, but also provide us with new ideas for thinking about problems and discovering problems beyond the limitations of our thinking. Therefore, the visualization of data will be the key to the realization of the value of data, and it has always been a topic of thinking and research that has troubled enterprise decision makers and software developers.
3. Break through the dilemma of "Chinese characteristics" and unlock the key to data value
It is worth mentioning that for many years, international giants have been trying to enter the domestic market, but the business intelligence market has never been able to achieve breakthroughs. Consulting companies with the background of famous foreign software giants have frequently acted but have never been able to spread the wisdom of business intelligence. To the fertile soil of "Chinese characteristics". In the author's opinion, there are three reasons: the characteristic Chinese-style reporting system, the characteristic Chinese Internet development model and the characteristic Chinese-style management.
The Internetization of domestic enterprises is obviously polarized: Internet technology companies dominated by e-commerce have always been at the forefront of information technology, while traditional or general enterprises show obvious fatigue and disconnection in the context of the Internet. Coupled with the complex business process and economic process of traditional enterprises, a report system with unique Chinese characteristics has been born (taking the Chinese accounting system as an example, the listing of enterprises often means that the financial data of enterprises will be chaotic for a long period of time). Such a form has complex business associations and difficult logical associations. Therefore, to release the value of enterprise data, it is first necessary to release clean, value-dense, accurate and timely enterprise economic forms. Business intelligence solutions and companies such as IBM, SAP, Spotview, and tableau have also developed interfaces for different data types and data sources like FanRuan Software , but they have not fundamentally solved the "Chinese characteristics" report province.
At the same time, the development of the Internet in China can be described as jumping. According to China Netcom data, the number of Chinese netizens on mobile terminals is much higher than the number of clients, which means that the development of my country's Internet has already realized the transformation from PC Internet to mobile Internet, or Said: my country's Internet development is driven by the mobile terminal to force the development of the PC terminal. This is also a great challenge for business managers, software developers and product managers: our data may not be generated by computers, and our needs are not limited to PCs. It turns out that more and more people like to use mobile phones, tablets and other communication devices to handle work and check the information they need. As a support tool for enterprise work and decision-making, business intelligence cannot be limited to the era of PCs. Multiple data collection, business support for multiple scenarios and multiple terminals is the key.
This has also directly led to most companies being discouraged in the face of business intelligence, even if there are very few companies that carry out related work, they are only used as high-level decision support. With the advent of the everyone economy, we are more willing to believe that business intelligence will be like the Internet, with our mobile phones, computers, QQ, WeChat and other equipment and terminal software to open the "everyone era". As early as 2012, Apple announced that most of the world's top 500 companies are using iPads for office work. The transformation of the Internet to the mobile Internet also puts both ends of the connection in an equal position, whether it is corporate decision makers or solution makers. , or front-line executives, all have the same needs for knowledge understanding and analysis. This also indicates that business intelligence or so-called data analysis should not only be limited to serving the high-level decision makers of the enterprise, but also provide services according to the specific needs of front-line operators. On-demand customization and no-barrier operation will undoubtedly be a major test of future business intelligence software. A tool for visual analysis of icons that can be clicked on... will undoubtedly provide a powerful weapon for enterprises to compete in the future.
Looking back at big data and business intelligence again, if big data opens a window for us to realize the charm of the data sky, then business intelligence provides us with a ladder, allowing us to grasp the cloud of data value at our fingertips. and. As the World Economic Forum in 2000 said: "Data is like currency and gold, and it has become a new economic asset." And we say that it is precisely because the analytical tools represented by business intelligence software (solutions) provide us with A key allows us to dig out knowledge and information in depth when dealing with complex reports and limited data, unlock corporate wealth, and turn data into business assets of the enterprise.