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Provectus > 实例探究 > 增强数据处理管道以提高可扩展性和性能
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Automating Data Processing for Enhanced Scalability: A Case Study on LeadGenius

技术
  • 应用基础设施与中间件 - 数据库管理和存储
  • 基础设施即服务 (IaaS) - 云存储服务
适用行业
  • 石油和天然气
  • 运输
适用功能
  • 质量保证
  • 销售与市场营销
用例
  • 需求计划与预测
  • 视觉质量检测
服务
  • 测试与认证
挑战
LeadGenius 需要增强和自动化其数据处理流程,以实现更高的可扩展性并提高销售和营销绩效。由于大量的手动流程,数据处理流程效率低下,无法确保数据质量和数据一致性。
关于客户
LeadGenius 是一家营销自动化和需求生成公司,利用人工智能和人工计算帮助客户识别目标潜在客户并与其进行沟通。
解决方案
设计并构建了自动化、可扩展且容错的数据处理和数据存储解决方案。高度可扩展的基础设施经过优化,可与 AWS 上的弹性应用程序一起运行。该解决方案利用尖端算法来清理和丰富解析的数据。数据解析和数据处理管道基于 Amazon EMR 管理的 Apache Spark。该数据存储解决方案是使用 Amazon S3、Amazon RDS with PostgreSQL、Amazon Redshift 和 Amazon Elasticsearch 服务设计和构建的。
运营影响
  • The automated data processing and storage solution delivered by Provectus allowed LeadGenius to collect and process data more rapidly, significantly improving the quality of customer-facing data. This empowered their sales and marketing teams, enabling them to identify and communicate with targeted leads more effectively. The solution cleaned and enriched parsed data continuously in an automated manner, ensuring that customers fully utilized the power of LeadGenius’ lead identification capabilities. The solution was optimized to work with elastic applications on AWS and to run on demand even if certain components had issues. The data processing pipeline and the data storage solution were released ahead of schedule, demonstrating the efficiency of the solution.

数量效益
  • 2x reduction in data processing time

  • 3x reduction in data processing cost

  • Increased speed of delivery of customer-facing data

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