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Data Management Product List

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What is data management?

What is data management?

Highlighting the benefits for the sales department and key points for practical application!

In modern sales activities, the utilization of various data is required. On the other hand, it is often the case that the data collected with great effort is simply stored away and not effectively linked to improving sales performance. One way to effectively utilize the data accumulated by companies is through data management. By understanding and implementing this method, it is possible to connect data to performance improvement. *For more details on the column, you can view it through the related link. Please feel free to contact us for more information.*

  • SFA/Sales Support System
  • Data Management

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QC from the perspective of data management

QC from the perspective of data management

★What is quality control and quality assurance in clinical research? ★What is the role and significance of data management?

Speaker Mr. Makoto Yokobori, President of Suzaku Co., Ltd. Target Audience: Personnel interested in QC Venue: Kawasaki City Educational and Cultural Center, Room 1 [Kanagawa, Kawasaki] 15 minutes walk from JR and Keikyu "Kawasaki Station" Date and Time: April 27, 2011 (Wednesday) 13:00-16:00 Capacity: 30 people *Registration will close once full. Please apply early.

  • Company：AndTech
  • Price：10,000 yen-100,000 yen
  • Technical Seminar
  • Data Management

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Metadata Management: The Core of Information that Unleashes the True Value of Data Utilization

Metadata Management: The Core of Information that Unleashes the True Value of Data Utilization

Organize 'data about data' to ensure reliability and correctness of interpretation.

The creation of business value is influenced by the organization of "metadata," which defines the meaning and context of data. When metadata is properly managed, the reliability of the data and the accuracy of its interpretation are ensured, facilitating smooth decision-making across the organization. Going beyond traditional static management, "Active Metadata Management," which dynamically updates information during the analysis process, is essential. We will explain the three classifications of metadata management that serve as the shortest path to becoming an AI-ready organization. We will publish materials on how to organize "metadata" so that AI and BI can truly function in practice.

  • Company：NTP
  • Price：Other
  • Other information systems
  • Data Management

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