利用自助分析实现各个层面的洞察
公司规模
Mid-size Company
地区
- America
国家
- United States
产品
- AnswerRocket
- Snowflake
- Tableau
技术栈
- Snowflake
- Tableau
- AnswerRocket
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 分析与建模 - 实时分析
适用行业
- 电子产品
适用功能
- 销售与市场营销
- 商业运营
用例
- 补货预测
服务
- 数据科学服务
关于客户
SnapAV 是一家行业领先的音频/视频、监控、控制、网络和远程管理产品制造商和零售商，产品面向专业人士。该公司拥有 14 个品牌，员工超过 900 人。其业务遍及 100 多个国家/地区。经过一系列合并，SnapAV 将多个数据源整合到 Snowflake 中，并使用 Tableau 构建可视化效果以供分析。
挑战
SnapAV 是一家领先的 A/V、监控、控制、网络和远程管理产品制造商和零售商，在一系列合并后面临挑战。该公司将多个数据源整合到 Snowflake 中，并使用 Tableau 构建可视化以进行分析。但是，Tableau 的学习曲线很高，业务用户很难自己找到答案。因此，商业智能团队不得不介入以提供帮助，从而减慢了洞察速度。这个过程效率低下，无法持久。
解决方案
SnapAV 将 AnswerRocket 集成到他们的 Snowflake 实例上，以解决他们的挑战。借助 AnswerRocket，产品经理、品类经理、市场团队和财务团队只需用自然语言提问即可获得快速答案。这消除了手动分析的负担，使团队能够发现机会并立即采取行动，而不是等待报告或将另一项内容添加到分析积压中。各级员工都使用 AnswerRocket 进行分析，例如迁移报告、收购报告和销售驱动因素分析。
运营影响
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
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
Case Study
Predictive maintenance in Schneider Electric
Schneider Electric Le Vaudreuil factory in France is recognized by the World Economic Forum as one of the world’s top nine most advanced “lighthouse” sites, applying Fourth Industrial Revolution technologies at large scale. It was experiencing machine-health and unplanned downtime issues on a critical machine within their manufacturing process. They were looking for a solution that could easily leverage existing machine data feeds, be used by machine operators without requiring complex setup or extensive training, and with a fast return on investment.
Case Study
Cloud Solution for Energy Management Platform-Schneider Electric
Schneider Electric required a cloud solution for its energy management platform to manage high computational operations, which were essential for catering to client requirements. As the business involves storage and analysis of huge amounts of data, the company also needed a convenient and scalable storage solution to facilitate operations efficiently.
Case Study
Leveraging the IoT to Gain a Competitive Edge in International Competition
Many large manufacturers in and outside Japan are competing for larger market share in the same space, expecting a growing demand for projectors in the areas of entertainment, which requires glamor and strong visual performance as well as digital signage that can attract people’s attention. “It is becoming more and more difficult to differentiate ourselves with stand-alone hardware products,” says Kazuyuki Kitagawa, Director of Service & Support at Panasonic AVC Networks. “In order for Panasonic to grow market share and overall business, it is essential for us to develop solutions that deliver significant added value.” Panasonic believes projection failure and quality deterioration should never happen. This is what and has driven them to make their projectors IoT-enabled. More specifically, Panasonic has developed a system that collects data from projectors, visualizes detailed operational statuses, and predicts issues and address them before failure occurs. Their projectors are embedded with a variety of sensors that measure power supply, voltage, video input/ output signals, intake/exhaust air temperatures, cooling fan operations, and light bulb operating time. These sensors have been used to make the projector more intelligent, automatically suspending operation when the temperature rises excessively, and automatically switching light bulbs. Although this was a great first step, Panasonic projectors were still not equipped with any capability to send the data over a network.
