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How Qlik Helps Us Better Capture Your Science Fiction Imagination
技术
- 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
- 实时定位系统 (RTLS)
- 供应链可见性(SCV)
服务
- 数据科学服务
挑战
ForbiddenPlanet.com, a leading science fiction retailer in Europe, was struggling with data analysis. The company had a vast amount of data but lacked a system for effective analysis. This was particularly problematic in their fast-paced comics business, where new editions are released weekly and accurate estimations of product demand are crucial. The company's management account meetings were inefficient, with an 80-page management pack of quarterly account data that was already out of date by the time of the meeting. The lack of real-time data analysis led to meetings ending with more questions than answers.
关于客户
ForbiddenPlanet.com is the leading science fiction retailer in Europe. The company is best known for its comic book subscription services available through its website, but it also offers a wide range of science fiction memorabilia, from lightsabers to TARDIS replicas. The company has 130,000 products on its website, 30,000 in its flagship London store, and more in other stores throughout the UK. It also provides a variety of comics, graphic novels, and books for purchase. The company's product volume and diversity are signs of a vibrant market and effective business model. However, the fast-paced nature of the comics business presents a challenge in estimating the number of each product needed for customers.
解决方案
ForbiddenPlanet.com decided to adopt Qlik, a data analysis platform, to improve their data analysis capabilities. After a week of learning the software, the company was able to take a deep dive into product management analysis, determining their fastest and slowest sellers, where there was excess stock, and where they had no remaining stock. The company then presented live analytics during a management account meeting, which was met with awe and led to the approval of the purchase of 30 new licenses for Qlik Sense. The company also prioritized data literacy and data governance, ensuring that every new user of the program went through a full training session. They adopted the three Ts: tried, tested, and true, encouraging users to test the program by creating reports using the current method, and then compare the data using Qlik.
运营影响
数量效益
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