As long as a business is functioning, it will generate data.
The bigger the business and the longer it has been in business, the more data it has.
Is this data valuable?The answer is, yes, and it's big.
The fifth factor of production
Informatization construction gives enterprises new growth opportunities. As the business information system becomes the infrastructure in the enterprise, many enterprises have accumulated a large amount of business data through the business system, and these business data are the data assets of the enterprise.
What is enterprise data?
It is all the information and materials related to the operation of the enterprise, including company profile, product information, business data, research results, employee salaries, tax payments, etc., both from within the enterprise and from the outside. It may seem trivial, and many bosses may not realize the importance of data. Those cumbersome and huge enterprise data are not the burden of the server, but the wealth of the enterprise. Big data can provide a basis for the development direction of enterprises and provide more scientific strategic support for enterprise operations. FollowingLand, labor, capital, entrepreneursAfter that,dataIt has become the fifth largest factor of production. In a word, in this day and age,Whoever gets the data gets the world!
Why do we need data analytics?
In fact, informatization and digitalization have not been implemented for a long time, and it is a few years ago that data has really been taken seriously.
In the current era, the importance of data analysis, which can turn accumulated data assets into value, has been recognized by enterprises in various fields, and has gradually become an important skill for people to learn Xi in their career development.
Once the amount of data exceeds a certain limit, it is difficult for people to understand the information behind these data, and they can only use data analysis and other means to transform data into information and knowledge in order to use and value assets.
For example, if you adjust your business to another direction, you find that it is better to adjust your business in another direction, but you are not convinced.
At this time, you can combine past business data, competitive product data, market data, etc. to analyze data to determine how much the adjusted business performance will be improved, how much efficiency will be increased, etc., and persuade the other party through data analysis and logical deduction, and adjust and optimize the business according to the analysis results.
If there is no data to support it, leaders are likely to be more subjective and make judgments based on experience, emotions, impressions, etc.
In the traditional business management model, many times business adjustment or development decisions can only be made by experience, and many unexpected situations often occur. In the digital era, data is the quantitative standard for everything, and accurate and efficient conclusions can be drawn through data analysis, and data can be used to drive growth.
What kind of data analysis tools do we need?
No matter how powerful the sweeper is, he needs a broom. Data is powerful, but it also needs a good tool to use it.
The [Paybench] developed by Bonnard Group is an enterprise data induction expert, which can not only collect and store a large amount of enterprise data, but also has strong data analysis capabilities, and can provide enterprises with safe, efficient and personalized intelligent data solutions. Multi-source integration to break down data silos;Intelligent BI supports multi-type data accessAI-empowered, one-stop data report ......
These powerful features maximize the power of your data and make your data a powerful driving force for your company.
The paycheck desk contains two system contents: 1. Intelligent BI visual analysis;2. Data governance. The main functions of intelligent BI visualization(1) Support multi-type data access (2) Lightweight intelligent ETL can complete data processing by dragging and dropping (3) Rich chart components, combined with data to present rich visualization graphics effects (4) Support cool large screen, streamlined dashboard, flexible mobile terminal, Chinese-style complex reports and other types of report production (5) Data insight, combined with AI to achieve intelligent report analysis, (6) External integration, support integration to third partiesKey functions of data governance(1) Multi-source integration, breaking data silos (2) Drag-and-drop to achieve dimensional modeling, precipitating enterprise standard data models (3) Horizontal stratification, vertical sub-domain, more efficient and orderly data governance (4) Building an industry-standard indicator system to provide massive indicator management capabilities (5) Indicator traceability, you can understand the ins and outs of data at a glance, and data traceability is no longer difficult (6) Label extraction empowers enterprises to provide precise services and precision marketing (7) AI empowerment makes data governance easier and faster
What problem does the [Salary Viewing Desk] solve?1) Create a report, real-time preview, drag-and-drop visual production process, data source preview replacement, view **display one-click switching, drag-and-drop free layout, real-time refresh one-click setting, independent card pool;2) Help customers to depict user portraits, use BI analysis, optimize internal promotion methods, and improve resource utilization3) Simplify data modeling methods and deal with issues such as multi-data association aggregation, data governance, and data portals4) Strong open capabilities: support reports to be open to business lines through link sharing, API interfaces, SDKs, etc5) Report parameter openness: provide custom filtering capabilities to meet the needs of the business system to achieve report data isolation according to user permissions6) Report componentization and openness: output the generation and management capabilities of the report to the business system to realize the report configuration7) Support report subscription, open up the connection between the salary viewing platform and salary friends, and open up the connection between users and reports. The paybench also promotes enterprise data security control. At present, [Paydesk] has served many industries such as the Internet, finance, construction, logistics, medical care, outsourcing, etc., covering more than 10 major cities and serving 300+ enterprises.