Luxury Goods Data Models

Luxury Goods consist of premier branded fragrances, cosmetics, jewelry, watches, leather goods and fashion wear with estimated sales of over $130 billion per year.

Global demand for luxury products is both sensitive to economic cycles and resilient having grown every year for the past 50 years despite economics, conflicts and world events.

The industry continues to consolidate with 40% of the global luxury goods market dominated by five corporations or 'houses'.

There is intense pressure to grow and develop market share while retaining product exclusivity and brand value. Luxury goods firms can be a victim of their own success when increased brand visibility, volume sales and profits diminish brand exclusivity. The intangible emotional attributes comprising luxury brands provide a constant challenge of establishing a balance between prestige, exclusivity and volume sales.

Demographic data supports that there is no longer a narrow, homogenous group of luxury goods consumers but rather a broad range of consumers - particularly young consumers - selecting luxury goods for a variety of reasons with a willingness to move easily to other brands.

The Luxury Goods industry models establish a comprehensive data architecture consisting of Enterprise, Business Area, Data Mart and Data Warehouse logical data models to support the marketing, sales and infrastructure requirements of companies competing in the luxury goods industry.

> Customer
> Demographics & Lifestyle
> Sales Reporting
> Analytics
> Marketing
> Advertising
> Channel
> Customer Service
> Forecast
> Financial Reporting
> Product
> Purchasing

"ADRM Vertical Industry Data Models"
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