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Data cleansing for BI for the Information Systems Department and Marketing Department.

Companies that have decided to implement BI and those that are operating BI! We will assist you with the preliminary organization of data for import!

Companies that have decided to implement BI. Are you struggling with the preliminary organization of data for system import? Additionally, after the implementation of BI, are you finding it cumbersome to import various internal data every month? J.I.M will handle the preliminary organization of data for system import on behalf of our customers. To ensure the safety of your important information, we operate under a thorough security environment. Data receipt and delivery will be conducted using our delivery service. <Features of the Service> - Regular Operations: We take on the entire data processing operations that are conducted regularly. We will regularly receive and deliver data. - On-Demand Operations: We will take on tasks as needed, such as during the introduction of a new system or system replacement. *For more details, please refer to the PDF document or feel free to contact us.

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Data cleansing with generative AI

Convert text data in Excel to numerical values and categorical values using Azure OpenAI and Python!

This article introduces a method using Azure OpenAI services and Python to format (cleanse) long text data for analysis. It processes text data from surveys, product reviews, complaints, and emails to extract specified elements and convert them into numerical values or categories. The structure involves using three components: Excel files, Azure OpenAI, and Python. It explains the steps for creating a resource group in Azure, creating an AOAI resource, configuring the AOAI network, deploying a generative AI model, creating functions to call the generative AI model in Python, reading and processing the Excel file, and outputting the results. As a reference, the cost for processing approximately 1,000 data entries with gpt-4o-mini is 47 yen, which is deemed sufficient for data cleansing. *For detailed content of the blog, please refer to the related links. For more information, feel free to contact us.*

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ブックマークを削除いたしました

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会員登録すると、ブックマークできる件数が増えて、ラベルをつけて整理することもできます

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