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  • List of Cognitive Biases ①: Specific Examples and Explanations of Loss Aversion, Risk Aversion, and Egocentrism Biases
    2024.07.02 Column

    List of Cognitive Biases ①: Specific Examples and Explanations of Loss Aversion, Risk Aversion, and Egocentrism Biases

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  • The Importance of Understanding Cognitive Bias in Marketing: Consumer Insights Beyond Data
    2024.07.02 Column

    The Importance of Understanding Cognitive Bias in Marketing: Consumer Insights Beyond Data

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  • The science of marketing: How to use research design and statistical analysis
    2024.06.11 Column

    The science of marketing: How to use research design and statistical analysis

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  • A practical roadmap for becoming a marketer who uses data analytics to get results: Moving beyond "just doing it" to strategic decision-making
    2024.05.26 Column

    A practical roadmap for becoming a marketer who uses data analytics to get results: Moving beyond "just doing it" to strategic decision-making

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  • Refine the 4Ps of marketing with data: Examples of how data is used in the 4Ps
    2024.05.17 Column

    Refine the 4Ps of marketing with data: Examples of how data is used in the 4Ps

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  • The science of branding: How to increase brand equity and drive business results?
    2024.05.13 About XICA

    The science of branding: How to increase brand equity and drive business results?

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  • Key points for making rational decisions with incomplete information
    2024.05.07 Column

    Key points for making rational decisions with incomplete information

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  • An easy-to-understand explanation of the basic knowledge of data science that business people should know | What are algorithms, machine learning, and big data?
    2024.03.11 Column

    An easy-to-understand explanation of the basic knowledge of data science that business people should know | What are algorithms, machine learning, and big data?

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From the early days of data science,
we support the decision-making of leading Japanese companies

AI Decision Engine — Decision-making engine for the AI ​​era

Let's discuss the design of your decision-making in the AI age.

Step 01

Apply for a consultation
Please tell us about your company's current situation and challenges.

→

Step 02

Initial discussion
We will discuss the optimal approach.

→

Step 03

Project design
A scope tailored to your company's situation
will be assembled

Request a Consultation

AI Decision Engine

  • AIDE Overview
  • ↳ CORE 01 / Decision Insight
  • ↳ CORE 02 / Decision Refinement
  • ↳ CORE 03 / Decision Intelligence
  • ↳ AI Platform (AIP)

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