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Case Study: Choice Hotels International, Inc.

Introduction

This case study of Choice Hotels International, Inc. is based on a March 2013 survey of HP Vertica customers by TechValidate, a 3rd-party research service.

“[Vertica is] fast, small footprint, and can load anything.”

Challenges

  • Addressed the following pain points with the HPE Vertica Analytics Platform:
    • Slow or incomplete queries
    • The inability to analyze large volumes of data
    • Summarized or aggregated data, losing detail and insights
    • The lack of concurrency limits access to data
    • The need to stop queries while loading new data
    • The lack of business insight from data
    • The lack of connection between current BI/analytics initiatives and needs of business
    • Existing data warehouse/data management infrastructure that could not handle Big Data

Use Case

  • Is implementing the following applications with HPE Vertica:
    • Promotional testing
    • Financial tracking
    • Behavior analytics
    • Clickstream analyses
    • Customer analytics
    • Loyalty analysis
    • Campaign management
  • Currently managing 1 – 5 TB of data with HPE Vertica software.
  • Uses the following Business Intelligence (BI), visualization, and ETL tools in their environment:
    • Business Objects Crystal Reports
    • Microsoft SQL Server Reporting Services
    • SPSS
    • Tableau

Results

  • Values the following features in HPE Vertica software the most:
    • Extreme speed and performance
    • Massive scalability on industry-standard hardware
    • Simplicity
    • Simultaneous loading and querying
    • Concurrency for hundreds or thousands of users
    • Aggressive compression
    • Database designer and administration tools
    • Ease of interaction with existing BI tools through connectors and ODBC/JDBC
    • High availability without hardware redundancy
    • Optimizer and execution engine
    • Low total cost of ownership (TCO)
    • High availability for analytics systems
  • Achieved the following with HPE Vertica software:
    • Faster analysis and reporting
    • The ability to load and analyze data concurrently
    • Greater business insight
    • A more interactive, conversational view of our data
    • Improved insight into customer behaviors
    • Increased amount and complexity of data analyzed
    • A reduction in database infrastructure costs
    • A reduction in storage costs
    • Increased concurrency for accessing analytics/BI (multiple users)
    • Reduced implementation time for a new analytics warehouse
    • Ease of adding additional database capacity
    • High availability for analytics systems
  • Increased query performance by 50 – 100% through improvement in response time with HPE Vertica.
  • Is able to analyze 100 – 500% more data at one time with HPE Vertica.




About This Data

This data was sourced directly from verified users of Micro Focus Vertica by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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