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Quantitative Marketing & CRM Enablement
技术
- 分析与建模 - 数据即服务
- 分析与建模 - 实时分析
适用行业
- 零售
适用功能
- 销售与市场营销
- 商业运营
用例
- 预测性维护
服务
- 数据科学服务
- 系统集成
挑战
Sally Beauty 是一家全球零售商,在全球拥有 3,673 家门店,其客户关系管理 (CRM) 和营销分析面临挑战。该公司的报告是在 Access 和 Excel 中完成的,交易和客户数据不在集中位置。销售/交易数据是从不支持临时报告的应用程序中提取的,并且 IT 不再提供支持。该公司依靠 IT 提取平面文件进行客户级分析,这需要几天到几周的时间。活动数据未存储以供查看绩效趋势或历史视图,月末报告需要 2-3 周才能提取所有数据并进行分析。
关于客户
Sally Beauty 是一家全球零售商,在全球拥有 3,673 家门店。该公司的主要产品类别包括染发、护发和器具。其客户包括专业造型师和零售消费者。该公司拥有 1200 万活跃的忠诚会员。Sally Beauty 的营销数据库和分析经理已在公司工作 4 年,在营销行业拥有超过 6 年的经验。她的大部分经验是在渠道(电子邮件、直邮和数字)营销和客户洞察方面。
解决方案
Sally Beauty 实施了领先的自助式数据分析平台 Alteryx 和用于数据可视化的 Tableau。Alteryx 用于可重复使用的月度报告工作流、人口统计数据、预测工具和复杂的临时数据分析。60% 的月度报告都是在 Alteryx 中构建的,用于可重复使用的工作流,包括客户迁移报告、渠道报告和忠诚度会员指标。报告时间缩短了一半,复杂的临时数据问题可以在几小时内得到解答,而不是几天。Tableau 用于仪表板、数据可视化和简单的临时问题。仪表板使领导团队能够轻松跟踪结果和客户群。可视化显示了平面电子表格上看不到的趋势,并允许非数据人员回答他们的数据问题。
运营影响
数量效益
相关案例.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.