Actian > 实例探究 > Actian Helps Fast Growing U.S. Convenience Store Chain to Save Money and Take Action on Big Data

Actian Helps Fast Growing U.S. Convenience Store Chain to Save Money and Take Action on Big Data

公司规模

1,000+

地区

America

国家

United States

产品

Vectorwise

技术栈

ABF (Applications by Forms)

实施规模

Enterprise-wide Deployment

影响指标

Cost Savings
Productivity Improvements

技术

分析与建模 - 大数据分析

适用行业

零售

适用功能

商业运营
销售与市场营销

用例

质量预测分析
零售店自动化

服务

数据科学服务

关于客户

Sheetz is a family-owned convenience store chain based in Pennsylvania, United States. The company operates more than 406 locations across six states. For over fifty years, Sheetz's mission has been to meet the specific needs of customers on the go. As life has become faster and busier, customers expect the stores to be there when they are needed the most. To meet these needs, Sheetz performs extensive analysis on various types of data from multiple sources to optimize costs, maintain high quality, and ensure a positive and consistent customer experience.

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挑战

Sheetz, a rapidly growing convenience store chain in the U.S., was facing the challenge of managing and analyzing increasing volumes of data from multiple sources. The company needed to optimize costs, maintain high quality, and ensure a positive customer experience. As data volumes continued to grow, Sheetz recognized the need to switch from a more expensive platform to a more cost-effective and efficient one that could handle the increasing data and provide actionable insights. The company was also looking to expand its data analysis from one year to two years, which equates to approximately three billion rows of data. Furthermore, Sheetz was anticipating its data to double over the next two to three years.

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解决方案

Sheetz selected Vectorwise, a fast data analytics engine, to handle its growing data volumes and provide actionable insights. The initial project involved converting a character-based reporting application built in ABF (Applications by Forms) to use Vectorwise. The required application changes were minimal, with the most significant technical changes relating to 'singleton inserts' (row at a time data loading) and table storage structure (schema) definitions. Vectorwise enabled Sheetz to expand its data analysis from one year to two years and manage its anticipated growth. The convenience store chain was surprised at the ease with which new Vectorwise functionality was added to their environment.

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运营影响

Vectorwise enabled Sheetz to expand its data analysis from one year to two years, which equates to approximately three billion rows of data.
The convenience store chain was able to manage its anticipated data growth, which is expected to double over the next two to three years.
Sheetz was surprised at the ease with which new Vectorwise functionality was added to their environment.
The required application changes were minimal, with the most significant technical changes relating to 'singleton inserts' (row at a time data loading) and table storage structure (schema) definitions.

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数量效益

Sheetz was able to save money by switching from a more expensive platform to Vectorwise.
Vectorwise has achieved performance increases in commercial deployments of 70x that of existing databases.

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