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Top Data Visualizations for Retail: Key Metrics for Success
In retail, data is everywhere, but without effective and precise tools, even the best information can be challenging to use for business analysis.
Key KPI for Retail Stores: Essential Metrics to Track Success
Retail is all about competition, so monitoring business performance, optimizing operations, understanding customer behavior, and boosting sales are crucial.
Як програми лояльності впливають на прибуток роздрібних мереж: вебінар для ритейлерів
Статистика показує, що програми лояльності можуть підвищити прибуток на 5-10%, але тільки за умови, що вони належним чином проаналізовані та адаптовані до потреб клієнтів.
RFM Analysis: An Effective Method for Retail Customer Segmentation
Modern retail companies increasingly use analytical tools to increase business efficiency. One of the most effective methods is RFM analysis.
Store Accounting: Key Performance Indicators in Retail
Implementing regular accounting and using business analytics allow the optimization of processes, enhancing the competitiveness and value of the chain.
Comparison of the best BI services for retail
Today, retailers face constant challenges: tough competition, changing consumer preferences, economic and political conditions, supply chain issues, and the need for continuous investment and funding.
Retail Business Intelligence Software or How to Choose the Right Business Intelligence Tool
Data and the speed of decision-making drive modern retail. Choosing the right business intelligence (BI) software is critical to success.
KPIs in Sales: How to Analyze Retail Data Using Business Intelligence
Key Performance Indicators (KPIs) are vital for business analytics and competitiveness. KPIs allow businesses to assess sales data, helping them determine which strategies yield the best results and what needs adjustment.
Sales Analytics: A Modern Approach to Assortment Optimization
Making strategic decisions, such as removing products from the assortment or introducing promotional offers, requires a deep understanding of internal insights, chain specifics, and thorough data analysis