How Does Guandata Solve Problems?

Guandata, with the mission of "enabling business use and making decisions smarter," is committed to providing customers with a new generation of intelligent data analysis platforms and industry best data analysis practices. It pioneered the "5A" implementation path from agile analysis to intelligent decision-making, which can help customers plan corresponding digital upgrade paths based on their data foundation, step by step achieving future-oriented data-driven intelligent decision-making. At present, Guandata has served hundreds of retail, consumer, and internet companies such as Unilever, AB InBev, Wangfujing Group, Heki Group, Genki Forest, Saturnbird, Nayuki Tea, Fresh Legend, Xiaohongshu, and bilibili, accumulating industry-leading digital implementation solutions and paths in new brands, FMCG, beauty and personal care, chain retail, catering and tea, department store real estate, fashion, and internet.

This article takes new brands as an example to explain Guandata's intelligent data analysis solution for new brands.

1. Pain Points and Needs of New Brands

New consumer brands, backed by data-rich e-commerce platforms and self-built ERP, mini-programs, and other systems, have a natural data gene. In data application, the following pain points appear:

A. Coexistence of self-owned systems, e-commerce backends, and local manual data, making unified data management and distribution impossible;

B. Various business reports still require manual aggregation and analysis, which is time-consuming and labor-intensive, resulting in low decision-making timeliness;

C. A large amount of data relies on manual verification, resulting in low accuracy, low timeliness, and poor security;

D. Customized daily/weekly reports cannot flexibly support some high-growth business analysis needs, making it difficult to quickly and flexibly conduct some special analyses.

Based on these problems, new consumer brands have some common needs in data operations:

A. Build a flexible, agile, and easy-to-operate data intelligence platform to accumulate data assets;

B. Data decision support for users at all levels (high, middle, basic);

C. Automated data processing to optimize operational efficiency;

D. Flexible self-service analysis to empower business and data analysts.

2. Guandata's Intelligent Data Analysis Solution for New Brands

2.1 "CEO Cockpit" for the Strategic Level

 

 

Business intelligence solves the problem of enterprises moving from "seeing" and "understanding" data to "actionable" insights. CEOs need to grasp the overall trend of company operations through data.

Guandata's "CEO Cockpit" analysis model for the group strategic level can be displayed in real time on data screens, mobile, and web, meeting the needs of decision-makers to have a global overview and strategize. CEOs can grasp the sales share, performance growth, and operational efficiency of each channel in real time, and for abnormal data, use linkage and drill-down functions to trace layer by layer, improving decision-making efficiency.

2.2 Series of Special Analyses for All Platforms

Total sales and performance completion rates are composed of the completion rates of each channel, distributor, and product contribution rate.

Guandata has launched business overview analysis, single/explosive product analysis, promotion method analysis, new product launch analysis, and other special analysis dashboards for the overall platform goals, helping brands monitor the sales process in real time, discover sales problems and opportunities in time, and promote the achievement of overall goals.

A. Business Overview Analysis

 

 

The "Business Overview" dashboard mainly presents core indicators such as total sales, previous period, sales changes, month-on-month changes, and channel share. For example, it evaluates the proportion and business health of e-commerce in the overall business based on e-commerce target achievement and previous years' performance, combined with profit, expenses, and other indicators.

B. Single/Explosive Product Analysis

 

 

From the product perspective, Guandata's "Single/Explosive Product" analysis dashboard helps companies track the performance of core and explosive products, pinpointing sales amount, order quantity, performance share, sales amount, and growth rate trends for each core and explosive product, and associating channel conversion to find the factors behind performance decline or growth—whether it's due to channel promotion or the product itself.

C. Promotion Method Analysis

 

 

From the channel and activity perspective, Guandata's "Promotion Method" analysis dashboard provides an overview of core indicators such as ROI, visitor cost, promotion expenses, and marketing expense ratio, helping new consumer brands track in-site traffic, conversion rates, and paid effects of each channel, evaluate the conversion effect of each promotion channel, adjust promotion methods in time, and improve the ROI of each channel.

D. New Product Launch Analysis

 

 

"Launching new products" is a prominent capability of new consumer brands, but new product launches are not decided on a whim. Sufficient market research is needed before launch, and close data tracking of consumer feedback and sales performance is required after launch.

Guandata's "New Product Launch" analysis dashboard clearly shows indicators such as the number of new products and sales share, as well as add-to-cart volume, visitors, conversion rate, and repurchase rate during the event period. It analyzes the comprehensive performance of all new products within a certain period, tracks the achievement trend of new product targets by day, and for individual new products, tracks their post-launch performance in detail to evaluate their health. It also combines information such as the sales trend of competing products on Tmall to understand the ranking of new products among all competitors, compare the sales differences between new products and competitors, and optimize operation strategies or further improve new products.

2.3 Series of Special Analyses for "E-commerce/New Retail"

Xiaohongshu, Tmall, JD.com, Youzan, mini-programs, and other online channels are important positions for new consumer brands. Real-time monitoring of products, sales, and operations on these channels is crucial. Guandata has launched a series of special analysis solutions for e-commerce/new retail channels, including operation dashboards, major promotion reviews, traffic conversion analysis, online promotion, consumer analysis, and product sales analysis.

A. Consumer Analysis

 

 

Consumer analysis includes consumer overview, behavior analysis, and member value analysis. The consumer overview dashboard can monitor the number of customers, daily/monthly new customers, customer repurchase rate, new/old customer sales share, customer growth trend, and average order value in real time. Consumer behavior analysis helps companies monitor and analyze the full lifecycle data of consumers, grasp member churn and growth in real time, and take targeted marketing measures for member acquisition or reactivation.

b. Major Promotion Real-time Dashboard/Review

 

 

E-commerce promotions are divided into three stages: preparation, monitoring, and post-event review. Guandata provides multi-dimensional and multi-path refined analysis capabilities for the entire lifecycle of major promotions. In the preparation stage, each department's performance indicators can be updated daily or in real time, and models such as activity horse racing can create a tense preparation atmosphere. During the promotion, all indicators can be monitored in real time, unexpected hot products can be replenished in time, and for hot products with insufficient stock, they can be taken off the shelf in time to reduce transaction disputes; for overstocked products, sales can be increased through coupons and other means. After the promotion, the previously built data analysis models can be used to trace back the storylines behind different results through logical thinking and drill-down.

2.4 "Business Process Visualization Tracking Management" for the Supply Chain

 

 

Supply chain capability is the core of any consumer brand. Improving supply chain efficiency requires concrete implementation in order production efficiency, warehousing progress, overdue situations, order turnover capability, and product quality tracking.

For the supply chain order fulfillment process, Guandata has launched a "Business Process Visualization Tracking Management" analysis model, which can track four core nodes: order placement, production, delivery, and overdue. It quickly provides an overview of orders from the order placement time node, tracks factory order production in real time after order placement, splits on-time and overdue orders based on planned delivery dates, quickly locates overdue status by factory and category, and after all orders are warehoused, identifies overdue factories and categories to guide future order placement.

Throughout the process, it can quickly identify factories with poor delivery capability and those with excellent production capability, intervene manually in time, arrange production reasonably, and improve overall supply chain efficiency, freeing up a lot of human resources.