Teradata Tian Rui, a global leader in the field of big data and data analysis (NYSE listed company, separated from its parent company NCR in 2007), holds a global user conference (Teradata Partners) every year. We have only been discussing big data for three or five years, but the biggest data analysis summit in the industry has been held for 30 years. The most experienced experts in industry, business intelligence, data warehouse and big data that you can think of, and the user representatives of world-famous data-driven enterprises are all here.
During the meeting, the reporter interviewed mike koehler, CEO and President of Teradata Tian Rui, Stephen Brobst, Chief Technology Officer, and Aaron Hsin, CEO of Greater China. They shared from different aspects how big data has changed and will change our lives, especially business life.
Reporter: Has China started to gain direct commercial benefits from big data?
Aaron Hsin: In fact, whether it is immediate or subtle, as the theme of this conference is "Breaking Big", we should actively embrace big data and "break the shackles and restrictions" in application. Both enterprises and individuals should explore and pursue "innovation, differentiation, courage, remarkable progress and outstanding performance"
Therefore, if enterprises want to gain benefits from big data, they must persist in innovation, pursue innovation and actively innovate, whether they are looking for breakthroughs in technology or in business processes, organizational structure and analytical culture. In China, customers from more than ten industries have chosen Teradata for many innovative projects, including government and public services, subways, transportation, aviation, communications, banking, insurance, securities, logistics, express delivery, manufacturing, automobiles, retail, e-commerce, electricity and energy.
For example, in the domestic express delivery industry, we helped a leading express delivery company to establish its data collection and analysis system and help improve its business process. By finding the "missing link" in their business process, we can integrate all kinds of data in the business process, such as scanning data, fleet operation data and other cross-departmental data, improve the billing process system, realize advanced analysis functions such as correlation analysis, and put an end to the previous income loss. According to the calculation of this courier company, if it is assumed that the cost of deploying Teradata solutions and services in the first year after the project ends is 1 yuan, the benefits brought by customers will reach 80 yuan, which is a very significant change.
In the insurance industry, most insurance companies think that customers will inquire about insurance-related information on weekends, so they choose weekend time when placing online advertisements. In fact, our big data analysis proves that it should be Monday! This is the first day of everyone's busiest working day. Therefore, through big data analysis, putting advertising resources at the right time and the right people is to help enterprises get tangible benefits.
In marketing, we often receive all kinds of "harassing" sales calls. In fact, this is to provide it to the wrong people at the wrong time, in the wrong place and in the wrong way. Enterprises should provide services in a smarter way based on customer data analysis. I think this kind of inaccurate service should be less and less.
In fact, whether it is an enterprise that benefits from controlling big data or an organization that has just started its journey, many enterprises have hesitated and hesitated when facing the investment of big data projects. Of course, this needs more courage to support. Teradata and customer surveys show that it is time for us to take positive action. We also understand that the change of culture may last longer than the change of technology and analysis process, but we have always emphasized that big data started from a young age. I believe that enterprises can quickly see the value of big data and the irreplaceable driving force brought by data analysis in business change.
Reporter: The development of big data has made a great breakthrough at the technical level. What are the technological progress factors that affect the real application of big data?
Stephen Brobst: People just pretend to love technological progress, haha! In fact, what human beings want to see is gradual change, not earth-shaking change.
For example, technologies such as driverless cars have existed for a long time, but it is still difficult to directly let the public accept driverless driving, and the change will be gradual. Now the car has realized the automatic parking function, which is the first step of driverless driving. Driverless driving is more due to problems between regulations, supervision, insurance companies and lawyers, and it has not been widely used soon.
In addition, although human life is very precious, the number of sensors in your car is much more than the wearable sensors on your body. By wearing sensors, big data can provide a lot of health data analysis. For example, according to your personal genetic status, provide personalized drugs and treatment programs. This is also a development trend in the future. But many people are afraid, because of personal privacy, they don't want to put their genome data in a big database.
In the field of big data, the development is very rapid, and the most imaginative prospect is probably the Internet of Things data. Teradata believes that the future of big data analysis is "everything analysis". In addition, in Gartner's analysis and forecast, ten technology trends that may affect enterprises in 20 16 years were released, among which technologies such as everything information and internet of things were selected.
In fact, these predictions are a portrayal of the reality of technological development. The most important thing to realize the Internet of Everything or the analysis of Everything is the sensor technology. In our time, sensor technology combined with large-scale parallel processing ability enables us to measure and analyze almost all phenomena. Advanced instruments enable us to track all changes, such as weather patterns, car driving habits, even the temperature of refrigerators in fast food restaurants and the vital signs of patients in hospitals (or at home). Collect these data into the database, and use a wide range of statistics, analysis and visualization tools to analyze these data in detail.
It is because of these sensors that new data sources appear in our life and work. For example, through RFID readers, we can track and control retail inventory, sample and track medical tests, and prevent fraud. Through GPS position tracker, fleet management, transportation and freight management can be carried out; Through data acquisition sensors, we can collect real-time data for analysis in manufacturing, environmental protection and transportation systems.
However, there are three main reasons why the Internet of Things has not developed rapidly: First, we need cheaper sensors. Second, the Internet of Things needs a unified standard, which is crucial. For example, for the analysis of Internet of Things data, we released Teradata Listener software to solve the difficulties of data specification and real-time analysis. Third, security factors. Networking between things involves security. If there is bad data transmission, such as planes, cars and oil pumps being hacked, it will cause accidents, so be careful.
Reporter: In your opinion, what changes will big data bring to our daily life in five years?
Mike koehler: According to the latest report of IDC, the number of global networked devices in 20 14 is 103 billion, and it will increase to 29.5 billion in 2020. This will bring great changes to society and human life. We don't predict the future like analysts, but we can share some very real examples of big data applications.
In the next five years, although many things have been interconnected, more things will be connected together, which will lead to the emergence of new big data sources, bringing new insights and unprecedented opportunities. For example, in the agricultural field, big data can help wineries automatically control the time of watering and fertilizing grapes, and even carry out targeted management.
Every plane, train, subway, vehicle and even bicycle we take can be interconnected through sensors. We can know in real time where their potential problems are, what their solutions are, how to maintain them and so on.
For the current and future development, although everyone recognizes the value of big data or the changes it brings, I want to emphasize the value of big data analysis! To a certain extent, just having data can't become the real competitiveness of enterprises, and just having data can't bring much convenience to your daily life. Ms Kathy Koontz, a customer of Teradata and vice president of customer management of national insurance company, pointed out: "What matters is not the data, but how to use it. Enterprises must change their business methods, learn to gain insight into the facts, and react from the data, otherwise no matter how the data is organized, it is of little value. "
Jeff Immelt, CEO of General Electric Company, once said, "Today, the era of data analysis has arrived, and data analysis is no longer the vision of the future. Around data and analysis technology, every industrial company will change in some way. " So we can see that data and analysis are completely changing industries, consumers and new competitors, but more importantly, data and data analysis have made our society begin an unprecedented transformation.