A specialist in data infrastructure construction and utilization explains specific actions for practicing "data utilization" necessary for the retail industry!

With the rapid increase in the amount of data handled by companies, we have entered an era in which the use of "big data" has a significant impact on corporate competitiveness. Specifically, data-related activities such as "demand forecasting/inventory optimization using various store data (POS/inventory/weather, etc.)", "response to personnel shortages using data", and "training of data-utilizing human resources". Measures are being considered and implemented by many companies.

On the other hand, in the department in charge of actually promoting the measures, there are many people who have issues such as "How should the target data be prepared/organized?" Is not it?

In this seminar, we will focus on two themes: (1) What should be done before data utilization and ( 2) What should be considered when selecting a data platform to realize utilization. I will explain the approach method with actual use cases.

Nautilus Technologies, a specialist in solving problems related to data processing, and Macnica, a company that discovers and provides cutting-edge products from Japan and abroad using the perspective of "big data + AI," will provide specific explanations on the preparations required to put data utilization into practice and how to consider a data infrastructure. Please join us for this opportunity to learn about strategic approaches to digital transformation in the retail industry.

How to participate in the online seminar

• Please register the necessary information from "Apply here" at the top of this page.
• By 18:00 the day before the seminar, we will send you an email with the login URL for the online seminar. ^*
• On the day of the event, when it is time, please access from the login URL and listen to the lecture.

※セキュリティポリシーなどの関係で届かない可能性がございます。届いていない場合は、databricks-sales@macnica.co.jpまでご連絡ください。

*Registration is required to attend. Please refrain from sharing your login URL.