Retail
The Hadoop platform was designed to solve problems with inherent volumes and variety of data, including a mixture of unstructured and structured data. Hadoop has specific benefits for retail companies that need to that perform deep and computationally extensive analytics.
- Behavioral analysis - Hadoop has become critical in analyzing the behavior of retail business entities, such as customer churn, propensity to respond, etc.
- Targeting marketing offers - There is a need to determine which marketing offers should be made to each relevant target. Hadoop enables retail companies to optimize ad placement and marketing offers.
- Customer experience analytics - Retail companies need to provide more accurate and faster analytics around customer interactions by pulling from more data sources and processing the information faster.
- Effective and personal web content delivery - Retail organizations are using Hadoop to adjust the content to each user, to attract and retain users, and thereby improve sales/usage volume.
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Large Retailer
MapR brings efficiencies along with ease of access and automated self healing to allow scores of developers and analysts to focus their efforts on solving business problems instead of managing Hadoop. Use cases include recommendation engines and social media analysis that provide better products and services to their customers worldwide. |
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