Data of "management" elements in the era of big data

Note: this article to be fan Soft software general manager Chen Yan at the China data Analyst Industry Summit speech Record.

today, I would like to share with you the " Management of Data".

Lenovo's Mr Liu said, management three elements: Build a team, set strategy, with the team. China's typical construction team thinking, are through the palpation to choose people and employing, this drawback we all know, but the rise of big data based on the Internet technology, can solve the data of the building team.

With the team for the enterprise, in fact, the middle and low-level staff work process to quantify. For the employees, after the workload, he can always know his progress, self-improvement. For managers, I can always monitor, at any time to point out the shortcomings.

But in the process with the team, in the process of data, we found that there are two pain points, a pain point that is, our management is more detailed, the number of reports more and more, an industry has a number of departments, interface to quantify the process, will produce a large explosion of the number of reports. I refer to the report is broad, including the traditional understanding of the fixed report, interactive reports, query reports, statistical reports, or analysis of reports.

This is a typical Chinese-style complex report:

In addition to tables or tables, table-nested tables, this pair Low floor Staff is the most No The simple, cool, and dazzling dashboards can be a burden to them. 10 years ago, sail soft on the development of a product, through the rapid production of Chinese-style complex report to solve the above two pain points.

In fact, our business and it staff to work with a pain point, is that these reports produced no one to see. In order to solve the problem effectively, we can solve this problem from four angles :

first, force a large screen display. like in the office, or in the office through a large screen display, so that everyone is motivated every day.

The second is the initiative to push , we have a customer, is the industry leader, it is faced with a difficulty, that is, the process has not been significantly improved. Some people say that the system is difficult to use, some people say it is due to staff procrastination. The company's security personnel and business staff together to do just that a set of process performance analysis report, although simple, but a year later they found that their company's process efficiency of about 80% increased.

The third is the report of Mobile. There are many companies that may be open monthly business meeting every month, the common method is to find the next number or security personnel to do PPT, and finally can not escape every month to write the report "physiological period." Here is a customer, his IT staff to the monthly operation of the report all mobile, and finally they meet each month is based on the ipad meeting, attached to the projector, the original monthly operation to open the month, can now open at the beginning of the month.

The Forth is PC -side view. in the process of data processing, we often find that the data is missing, the data is either in the existence of the table, or there is an open database, or the existence of the Internet, we need to have data automatically to record this function, of course, fill in the data can be very good to achieve the record.

Just now, with the team, back to the strategy, which has the classic theory of the master. There are three points for the strategy of information-based approach:

The first is the integration of information system data, with a large number of detailed data.

The second one is from the Internet external data. To import large amounts of external data, such as data from industry benchmarking firms, which may exist on the Internet or on existing forms, poses a challenge to the larger data volumes.

The third is to combine management thinking, management thinking to be combined with data to produce chemical reactions, management thinking is generally good at non-technical personnel, which is also a challenge.

These are common tools for everyone:

R and Python data experts, as well as Hadoop, are combined with big data. There are commonly used tables, this is the most used, but it has two short board, can not solve the multi-data volume, there is a large amount of data, I hope that Microsoft can solve the problem. There are also cogno this tool, which may be the most advanced, to solve the big data volume and analysis to use it, including enterprise business adjustment speed, including the new tools with sails soft.

With the advent of the big data age, everyone may want to be a data management expert, standing on top of the data. In fact, I would like to cite Ren's sentence, the big data age not too opportunistic. Data analysis do not just for the middle and high-level personnel to control staff service, staring at employees, our customers have done some leadership in the early years, leading the cockpit. At first look at the tall, then false big empty, no one can guarantee the accuracy of the data. In fact, we quantify the work of wage-earners, so that they find that their work is inadequate, driven, improved, not under the control above.

There is also a misunderstanding, do not expect everyone is a data analyst, especially traditional enterprises, 80% employees may be more suitable for the report of the viewer rather than the creator of the report, for them is to do a good job right now, than all day dreaming of changing the world better. This place should also be an IT center-driven data analysis, and business-led data analysis should be co-existent or long-standing.

In addition, when you buy tools, do not pursue more features and cheap, in fact, we are a victim of enterprises, China's intellectual property environment is very bad, foreign open source for me to translate, domestic open source for me infringement. Some tools chatty, the reason for the cheap is that the mystery is here.

Data of "management" elements in the era of big data