Styling Data Pipelines for Analytics Success at Mayvenn
公司规模
11-200
地区
- America
国家
- United States
产品
- Ascend Unified Data Engineering Platform
- Amazon S3
- Amazon Redshift
- Looker
- Alooma
技术栈
- Python
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 基础设施即服务 (IaaS) - 云存储服务
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 消费品
- 零售
适用功能
- 商业运营
- 销售与市场营销
用例
- 需求计划与预测
- 质量预测分析
- 供应链可见性(SCV)
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Mayvenn is a highly data-driven company that serves both stylists and their clients. The company's mission is to provide high-quality beauty products with an unparalleled shopping experience. To achieve this, Mayvenn uses data to empower hairstylists and salon professionals while also providing the stylists’ customers with stellar experiences. The company built a robust, data-centric platform to connect the right customers with the right stylists and the right experiences. In addition to this, the platform also powers the growing business with comprehensive data analytics pipelines.
挑战
Mayvenn, a company that provides high-quality beauty products and aims to connect customers with the right stylists, relies heavily on data for its operations. The company moves a variety of data, including ad and marketing spend, email, text, and customer service data, from Amazon S3 to Amazon Redshift using Python for analysis and into Looker for reporting. However, the company faced challenges with its previous data orchestration tool, Alooma, which hindered fast iteration of ETLT. The data team at Mayvenn often found themselves blocked on projects due to dependency on the engineering team, which often had a full queue.
解决方案
Mayvenn implemented the Ascend Unified Data Engineering Platform to overcome the challenges they faced with data orchestration. This platform empowered the data analysts at Mayvenn to make changes quickly and cost-effectively without relying on other teams. Within a month, the data analysts were working deeply in the Ascend platform, which accelerated their pipeline and gave them more independence. The Ascend platform also provided a visual flow that made it easy to see every step of the transformations. In addition, Ascend's customer support team was always available to respond to any questions or support requests.
运营影响
数量效益
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