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[For retailers] What should be done first before "data utilization" and what platform should be selected?

Features of the seminar

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.

Schedule/Application

schedule

time

venue

Application

Scheduling

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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.

Event requirements

Venue

Held as an online seminar

*You can perform a connection test in advance from the following URL.

https://zoom.us/test
Capacity 100 people

※We will close the reception as soon as we reach the capacity.
Preparation What to prepare on the day
  • PC to attend the online seminar
  • Environment for Internet connection
subject
  • If you are responsible for the following areas in the retail industry:
    • Examination of internal DX promotion and big data utilization measures
    • Consideration of big data infrastructure introduction/replacement in the infrastructure/infrastructure management department
    • Examination of measures to utilize big data in production technology and production control departments
    • Consideration of introduction of big data platform and model development platform in AI development department
Cost Free (pre-registration required)

Program

Nautilus Technologies Session
11：00～11：15
Challenges and success points in utilizing data in the retail industry
11：15～11：25
case study
11：25～11：30
QA
Macnica session
11：30～11：40
Issues with conventional data analysis platforms in the retail industry
11：40～11：50
What you can do with the modern data analysis platform “Data Lake House”
11：50～11：55
Actual migration steps/migration cases
11：55～
QA

*The program is subject to change without notice. Please note. Please check this web page for the latest information.

Due to the impact of the COVID-19, we will continue to work as a telework (work from home) for the time being.
If you have any questions about the seminar, please contact us using the product inquiry form or email address.

Speaker profile

Mr. Shigemi Haga

Nautilus Technologies Inc.
sales department
Mr. Shigemi Haga

Engaged in account sales at Sun Microsystems and Oracle's server division for about 20 years. After working as a virtualization software vendor, he assumed his current position in 2017.

Arisa Yamamoto

Macnica
Data & Application Division 1 Division
Arisa Yamamoto

Engaged in proposals and sales support for the selection, introduction, and operation of data processing platforms for big data and AI utilization, mainly for retail and manufacturing customers.

Inquiry/Document request

In charge of Macnica Databricks Co., Ltd.

inquiry Document request

Mon-Fri 8:45-17:30