Recommendation Engine

With the proliferation in the number of channels used by consumers to research products and services, indicate likes and dislikes, and conduct commerce, delivering a tailored customer experience is of paramount importance. Recommendation engines help improve customer experience and on average deliver a 3-5% revenue uplift.* Marketing teams can use the Quick Start Solution built on MapR to deliver revenue uplift, reduce churn, and increase customer loyalty.

  • Increase revenue: Higher upsell and cross-sell of products and services into adjacent segments with real-time personalized offers.
  • Decrease churn: Reduced customer churn by anticipating customer actions and delivering the recommended next best action.
  • Optimize Customer Lifetime Value: Maximize Customer Lifetime Value (CLV) at every point in the customer lifecycle.

What's Included?

Software

Software

Trial subscription of MapR Converged Data Platform Enterprise Premier for the duration of the quick-start.

Professional Services

Professional Services

3-10 weeks of engagement with MapR Professional Services Engineers and Data Scientists (Duration varies based upon the particular quick start.)

Certification

Certification

2 Academy Pro Subscriptions including Certification Exams.

The solution template includes workflows, parsers, and machine learning that help you deliver real-time, personalized products and services that incorporate customer behavior and preferences. Installation and configuration of the MapR cluster is included within the scope of this Quick Start Solution.

Key solution capabilities

  • Cost-effective big data platform: Store and process large volumes of data from various customer touch points such as email, mobile and social channels.
  • Contextual search and personalization: Integrate with search engines to provide contextual search and personalization.
  • Machine learning algorithms: Deploy advanced machine-learning algorithms that help in real-time targeting of offers and services.

Recommendation Engine Template

Key MapR differentiators

  • Data archival: The MapR Platform enables archival and storage of security event and other related log data going back several months and years.
  • Data ingestion: Copying data to and from the MapR cluster is as simple as copying data to a standard file system using Direct Access NFS™.
  • Scalability: MapR is the only platform that scales all the way to a trillion files without compromising performance.
  • High performance: The MapR Platform was designed for high performance, with respect to both high throughput and low latency.
  • Search and discovery: Indexing and search capabilities that integrate with MapR help aggregate various customer touchpoints and provide a user interface that delivers rich insight.

*Source: McKinsey Marketing Practice, June 2013

To learn more, read the Recommendation Engine Quick Start Solution Brief.

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SOLUTION BRIEF

Learn more about what’s in the Recommendation Engine Quick Start Solution
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EBOOK

Practical Machine Learning: Innovations in Recommendation
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BLOG

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VIDEO

Recommendation Systems on MapR
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