Recently, big-data analytic system developed by Strong Data has been operated formally. This system, based on advanced technologies (cloud computing, big-data storage, distributed architecture), is tailor-made for different brand owners to realize 24-hour monitoring and analysis comprehensively and precisely regarding to mainstream e-commerce platforms, and is regarded as a powerful tool to manage business channel, price and market tendency.
The release of big-data system means data-system upgrade of Strong Data. It is crucial that from data crawling to data analysis truly contributes to the progress of one-stop service platform. Meanwhile, as for brand holders, they could obtain more efficient data as well as more accurate analysis.
Function 1: Price monitoring
Monitor selling prices of products on several e-commerce platforms for brand owners timely, send emails to remind low-price links, both of them could monitor price system of website channel efficiently. Moreover, provide analysis reports of absurd prices at regular intervals in that clients could be aware of vital areas and absurd-price tendency, estimate monitoring performance entirely to assist management of online and offline monitoring with adjusted schemes.
Function 2: Commodity information monitoring
Collect data, even SKU of all the products through presetting keywords of system, could monitor sales situation online both competitive products and appointed product itself. Meanwhile, provide analysis reports of specified brand and its competitors at regular intervals. On the basis of above actions, it is clear that comparisons of sales tendency between specified brand and its competitors on different e-commerce platforms could be demonstrated, otherwise, collected data would contribute to decision-makings of online marketing.
Function 3: Store information monitoring
Monitor sales condition of stores who sell competitive products online for brand holders, track deals of goods and the number of goods. Additionally, supply analysis reports of stores at regular intervals for customers to manage stores with useful references.
Function 4: Data analysis supply
Based on above function, this system could supply all kinds of data analytic services, tailor-make report contents and format for clients. which includes commodity analysis, industry analysis, store analysis, infringement analysis, etc.
Commodity analysis: monitor sales volumes with casual key words, classify various areas of consumers and e-commerce platforms in a real time. At the same time, support comparisons of sales volumes between authorized and unauthorized stores.
Fig.1
Industry analysis: assist brnad owners to understand industry information,suchas consumers’ age,gender and area distibution.
Fig.2
Store analysis: comprehensively track sales volumes and goods for sale of competitors.
Fig.3
Infringement analysis: multidimensionally help customers to know infringing types, areas and targeted stores who infringe repeatedly.
This new upgrade of data system would bring a real experience for numerous brand holders, as well as promote Strong Data to be more efficient and more intelligent!