Webinar Held on the Theme: "Manufacturing Data Utilization: Why Traceability and PSI Management Remain Stuck in Excel"

Details and registration here.

The Manufacturing Environment and the Importance of Data Utilization The business environment surrounding manufacturing is undergoing significant changes, including soaring raw material and energy costs, currency fluctuations, and supply chain instability.

Furthermore, with the expansion of high-mix low-volume production and build-to-order business models, it has become more important than ever to grasp profitability in detail by product and project, and to manage risks across the entire supply chain.

To improve the speed and accuracy of management decisions, it is urgent to build a system that not only "visualizes" data but also "connects" and "drives" it.

Why Traceability and PSI Management Remain Stuck in Excel Even with BI tools in place for quality control and PSI management, data aggregation and simulations in Excel persist.

The biggest reason for this is that data related to quality, production, sales, and inventory is fragmented across different systems, making it impossible to cross-reference and update necessary information.

As a result, it has become common practice for the field to process and manage data in Excel to compensate for missing information.

Advanced Traceability and PSI Management with Qlik's Associative Technology This seminar will introduce how to enhance traceability and PSI management by connecting data across systems, including parts, semi-finished goods, finished products, and shipping information, using Qlik's Associative Technology.

Qlik's Associative Technology allows for free exploration of data that was previously fragmented by system or department. In the event of a quality issue, the scope of impact can be grasped in real-time, and PSI management can be realized on a single platform, including input, simulation, and approval processes.

Further Business Value Improvement with Data Infrastructure (Snowflake/Databricks) Supporting AI Utilization and Data Science Furthermore, ensuring data quality is essential for realizing demand forecasting and advanced analysis through AI.

However, many companies are unable to fully utilize AI and analytical platforms due to issues such as inconsistencies in master data, different coding systems for each system, and missing or duplicate data.

This seminar will introduce how to improve value through a data quality foundation that serves as the basis for AI utilization, and how to improve value through data science, using Snowflake and Databricks.

Recommended for: - Individuals in Corporate Planning, Accounting, and Business Management departments who want to accurately grasp profitability by product and project. - Those who spend time investigating the causes of discrepancies in figures between departments. - Individuals who are advancing BI tool utilization but are facing challenges with the preparation of source data. - Individuals in Information Systems departments who are considering building an analytical data infrastructure utilizing Snowflake/Databricks.

Organizer/Co-organizer OASIS Corporation AGNI CONSULTING INC.

Cooperation Majisemi Inc.

Details and registration here.

Majisemi will continue to hold webinars that are "useful for participants."

Past seminar presentation materials and other upcoming seminars can be viewed here.

Majisemi Inc.

3-12 Kioicho, Chiyoda-ku, Tokyo 102-0094 Inquiries: https://majisemi.com/service/contact/