We are moving from the IT era to the DT era, and the information society has entered the era of big data. The emergence of big data has changed the way people live and work, as well as the operation mode of the traditional publishing industry. For example, how to capture, manage, process, and integrate massive amounts of information within a reasonable time into valuable information that helps publishing houses make business decisions and improve their core competitiveness has become the key to publishing houses!
1. Project background
Social Sciences Literature Publishing House was established in 1985 and is an academic publishing organization for the humanities and social sciences directly under the Chinese Academy of Social Sciences. Through accurate market positioning and scientific development planning, the Social Sciences Literature Publishing House has achieved leading results in topic selection planning, theme publishing and brand promotion, and digital publishing.
As a cultural enterprise, Social Science Literature Publishing House must not only adhere to the correct value orientation and realize social value, but also cannot ignore its own corporate attributes. Especially in today's environment with complex information and fierce competition, a good product does not mean a good business, and the aroma of wine is also afraid of deep alleys. If a publishing house wants to gain a place in market competition, in addition to having a strong content production team, everyone needs to be able to speak with data. Therefore, it is imperative to build a big data operation system based on publishing houses.
Moreover, considering the status quo, the current social science literature publishing house also has the following aspects:
1. Data Management
In the past, the use of multi-dimensional data sets was difficult to maintain and cost too much manpower;
A large amount of data sleeps and the application is weak;
The basic data standards are not uniform;
2. Business Management
The business is complex, from production to sales and design business volume;
Business management is not uniform;
3. Corporate Decisions
Inaccurate information acquisition;
Incomplete key decision information
02、numerical value
After fully understanding the relevant big data analysis platforms on the market, in 2016, the Social Sciences Literature Press selected Smartbi, and hopes to use Smartbi to establish an enterprise BI platform to solve the above problems. As of 2019, 30% of the entire company's employees have become Smartbi's heavy dependence. They can not use Weibo for a day, but they cannot use Smartbi!
I have to say that this step of the publishing house is really wonderful.
For planners, they had to listen to the opinions of issuers or randomly distribute questionnaires when planning the topic selection. This method would be due to the small sample size of issuers, too strong subjectivity, and low reliability of the questionnaire. The reasons lead to a certain deviation between the survey results and actual market demand. Nowadays, Smartbi is used to analyze the data between upstream publishers and downstream bookstores and readers, find the most suitable market in the most demanding area, and the real-time needs of different individuals, and select themes with high public attention, and social interaction Public personnel with significant influence in the media conduct joint publicity surveys to achieve precise theme planning.
For the operators, they used to work overtime every day to make reports, even if the weekly and monthly reports had the same format, they still needed to be filled in manually every time. But with Smartbi, as long as you use a data processing tool to create a data stream, and create an analysis board based on the data stream, the next workload is to click the mouse once and choose to automatically update the source data. At the same time, Smartbi is designed based on Excel and is compatible with most of the capabilities of Excel. They no longer need to understand the code, as long as they know Excel, they can quickly get started.
In addition, publishers can also analyze the collected personal information such as gender, age, location, consumption level, occupation, browsing history, book collection list, membership evaluation, etc., to understand readers’ behavior and habits in order to quickly Find the needs of different customers in the massive data to achieve precision marketing. At the same time, according to the preferences of the target readers and consumers, the marketing information is well presented in the book design and packaging, and conveyed to the readers in various forms, so as to be an exclusive online bookstore for each reader. This tailor-made digital precision marketing has a significant effect on the click-through rate, browsing time and purchase rate of books.
03. Example sharing
The application of BI by the Social Sciences Literature Publishing House has gradually been deeply integrated into various activities such as business, management, finance and taxation from the application of simple tools.
● Business Analysis (PC)
The large screen directly displays the operating conditions of the publishing house and drives scientific decision-making.
● Performance analysis
Using Smartbi for perspective analysis can clearly see the profitability of a book, and the performance is clear at a glance.
● Indicator monitoring (mobile terminal)
Delete the complex and simplify, and show the content clearly
04、Project experience
1. Digital operation ideas promote the value of data. Only when the management realizes the importance of digital operation management analysis and makes BI a part of the work can the value of data be fully reflected
2. Business analysis index system. Data analysis analyzes specific indicators from various dimensions. It is necessary to build a complete index system and unified rules to share and recognize the results of data analysis. 3. Data analysis must be based on accuracy. On the basis of diverse and diverse data