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SAS Global Forum 2012RetailPaper 2862012Improving Retail Decisions with Customer Analytics: Leveraging Actionable Customer Insights across the Retail Enterprise to Build Sales and Profits Wanda Shiva
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01
Start by analyzing your current retail data, including sales, inventory, customer behavior, and market trends.
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Identify areas of improvement based on the analysis, such as optimizing inventory levels, identifying popular products, or improving customer satisfaction.
03
Use retail analytics tools and software to track and analyze data in real-time.
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Implement strategies to improve retail decisions, such as developing better pricing strategies, implementing effective promotions, or improving store layout and merchandising.
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Continuously monitor and analyze the impact of the implemented changes on retail performance.
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Adjust strategies and decisions based on the results to further optimize retail operations and drive growth.

Who needs improving retail decisions with?

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Retail businesses of all sizes and types can benefit from improving retail decisions.
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This includes brick-and-mortar stores, online retailers, and omnichannel retailers.
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Small businesses, in particular, can greatly benefit from making data-driven retail decisions to compete with larger competitors.
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Retailers who want to increase sales, improve customer experience, and effectively manage their inventory can all benefit from improving retail decisions.
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Improving retail decisions is with data analytics and consumer insights.
Retail managers and analysts are required to file improving retail decisions.
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The purpose of improving retail decisions is to optimize sales, inventory management, and customer experience.
Information such as sales data, consumer demographics, and market trends must be reported on improving retail decisions.
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