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Business Intelligence: Improved Sales Analytics for a Retail CompanyBusiness ChallengeFrom cat walks to store fronts, making the right statement with the latest fashion trends is mission critical for one fashion retailer. And when it comes to the merchants for the catalog and on-line divisions, in-house buyers must have access to the latest analytics on customer buying trends and sales data to assure their purchase decisions continue to lead fashion trends. In the case of this fashion retailer, distributed analytics came in the form of a single rudimentary report per week. As a result, buying decisions were far more intuitive than fact-based. How fashion-forward can an organization continue to be if their reporting technology is manually intensive?Solution: Desktop Sales Reporting CapabilitiesArmeta designed a sales reporting solution using a Business Intelligence OLAP desktop reporting tool and analytics framework to replace the existing manual system and error-prone processes. It provided reliable data in a familiar printed format for the buyers without the time consuming technical glitches. In addition, it captured this information on-line, enabling data-driven decision making and process improvement through interactive analysis, including product sales trending and cross category analysis. Armeta also developed a catalog maintenance application and helped the retailer redesign their existing product hierarchy to take full advantage of this newly automated system.ResultThe newly designed analytic tools allow employees to focus their valuable time on analysis rather than data entry. With an average of one and a half catalogs printed and mailed weekly, sales data cycle time is reduced from nine weeks to daily thereby allowing buyers access to real-time, accurate data, with increased knowledge of which depictions sell and why. Buyers may conduct price point analysis to maximize sales and margins and analyze sales across catalogs and time. In addition, the company is able to reduce risk associated with unsold inventory through better forecasting. |
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Technical Expertise
Our experienced professionals have vast experience in OLAP, databases, development languages, business intelligence and CRM products:
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