At present, we are in a rapidly developing information age. With the advent of the big data era, data is everywhere in the daily operations of enterprises. The collection, integration and analysis of various data are very important to the development and decision-making of enterprises. role.
As an important construction work of an enterprise, data management has a very critical impact on the business order delivery and operational efficiency of the enterprise procurement mall, and also plays a decisive role in lean transformation or digital transformation. It is not only conducive to activating the value of enterprise data resources, but also saves a lot of costs for both suppliers and purchasers.
01
Efficient Technology Tools
Make data cleaning more effective
Data is the basis of information, and high-quality data is the basic condition for the effective application of various data analysis such as big data and data mining. With the vigorous development of new-generation information technologies such as the Internet, big data, and artificial intelligence, many computer information systems have been established in various industries and a large amount of data has been accumulated.
However, due to various factors such as lack of effective data analysis technology and low data quality, enterprises have problems in data management to a certain extent, causing various inconveniences and low efficiency to actual business operations.
Common quality issues in data management:
◆ One item with multiple codes, multiple items with one code
◆ Scattered materials and incomplete data attributes
◆ The coding is inconsistent, and the internal and external codes are not related
◆ Data confusion and inconsistent standards
◆ Missing data, inconsistent data
As the carrier of information, if there is a quality problem with data, it will cause difficulties in sharing internally, resulting in poor communication in all aspects of business, including research and development, procurement, production, inventory, sales, finance and other fields, and low business efficiency. Enterprise management and decision-making; externally, data between enterprises cannot be effectively connected, and digital transformation has become empty talk.
Therefore, enterprises need to fully realize the importance of data management. With the help of efficient technical tools to collect commodity data - filter and filter - output valid data, it can greatly improve the efficiency of enterprise product selection, and empower suppliers and buyers to match transactions.
02
Juyuan pool cleaning tool
Cloud Empowerment to Build Data Standard Library
In order to meet the needs of enterprises with poor response performance and low stability of procurement business due to irregular data dispersion, and at the same time increase management costs, Qiqitong launched Juyuan Pool, which gathers e-commerce resources, quickly cleans data, and facilitates supply and purchase matching transactions. .
As one of the cloud empowerment tools of Juyuan Pool, the self-service cleaning tool can provide enterprises with purchasing mall data cleaning services, helping enterprises to de-duplicate and clean products, match products, etc., so as to better manage materials and create a high-quality data standard library.
The cleaning tool is user-friendly, quick to use, efficient and convenient: users only need to sort out product information according to requirements, create tasks by themselves, customize algorithms in advance according to user data characteristics, and perform semantic recognition, word segmentation, extraction, retrieval, matching, Algorithms such as filtering are set, cleaned according to the process, and finally the results are checked, combined with manual intervention to confirm the data.
"Mashangshun" helps consolidate the foundation of master data and accelerate digital transformation: the data cleaning gadget "Massines Shun" has specific exclusive codes for each port, and the supplier's product code is maintained by the supplier; the platform code is provided by the Qiqitong platform The operation specialist manages and cleans the products of the same brand and the same specification under different suppliers; the purchase material number is managed and maintained by the purchaser, and interacts with the purchaser's internal system to achieve complete, unique, effective and accurate data standards.
After the data is cleaned, it is stored hierarchically to achieve the maximum utilization value: the platform provides unstructured analysis services for the data, including keyword extraction, automatic abstract extraction services, and big data algorithm services such as similarity and clustering. Organize high-quality data and provide multi-format export of data.
The algorithm makes the data cleaning effect more accurate: the cleaning tool can adjust and verify the targeted algorithm according to the data type, data structure, data classification of different customers, and the material description characteristics of different e-commerce platforms, so as to make the cleaning effect accurate The rate is higher, and real-time price query comparison can be realized in the whole network price comparison tool.
All-round operation service to optimize enterprise procurement business: Not only that, Juyuanchi data cleaning tool also realizes all-round operation service integrating operation management service, operation and maintenance management service, after-sales management service and personalized customization service, helping enterprises Solve the problems in product management, optimize the procurement business, and effectively improve the efficiency of after-sales management and system operation and maintenance of enterprises.
03
Aggregate massive resources
Source and compare prices on the whole network, choose the best to purchase
除了数据清洗工具，企企通聚源池还涵盖了比价工具、市调工具、选品工具等云端赋能工具，不但可以帮助企业实现快速清洗数据、整理物料，还能协助企业进行商品有效性判断、全网比价、推荐质优商品，促成供采撮合交易等。
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聚源池强大功能模块，一方面连接外部电商与品牌商，另一方面打通采购商城与采购商内部系统接口，实现资源互联、业财互通。其丰富的货源，更是能满足采购商的“一站式”采购需求，是您的首选商品数据管理小助手！