公司规模
Large Corporate
地区
- America
国家
- United States
产品
- IBM Kenexa Behavioral Assessment on Cloud
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Revenue Growth
技术
- 分析与建模 - 预测分析
适用行业
- 零售
适用功能
- 人力资源
- 销售与市场营销
用例
- 质量预测分析
服务
- 数据科学服务
关于客户
客户是一家领先的珠宝零售商,在美国经营着数百家门店。该公司专注于推动销售和业务增长,而这在很大程度上取决于吸引和留住技术熟练、积极进取的人才。该零售商正在寻求改进其销售助理招聘方法,旨在找到一种更准确的方法来评估新申请人,并确定他们是否具备成功发展其职位并为公司持续增长做出贡献所需的素质。
挑战
这家珠宝零售商在美国经营着数百家门店,面临着吸引和留住技术熟练、积极进取的人才以推动销售和业务增长的挑战。该公司希望改进其销售助理招聘方法,并寻求一种更准确的方法来评估新申请人,并确定他们是否具备成功发展其职位并为公司持续增长做出贡献所需的素质。挑战在于找到一种方法来确保申请人具备适合这份工作的技能,并且他们适应公司的文化和工作方式。
解决方案
该零售商向 IBM 寻求帮助,使用 IBM Kenexa Behavioral Assessment on Cloud 开发定制的销售助理评估。该公司与高级管理人员、主题专家和高绩效员工举行了焦点小组讨论,以确定并排列这些人认为对成功绩效至关重要的特质。根据结果,该公司创建了一份与销售助理成功相关的主要特质的候选名单。然后,该零售商在众多现有销售助理中进行了一系列试验测试,并给出了一系列绩效排名,以确定某些特质与销售绩效之间的相关性。然后,它完善了评估,创建了一个尽可能简短但仍然涵盖所有关键要求的最终版本。评估根据参与者对标准的得分将他们分为三组:不推荐、谨慎行事和推荐。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.