Webinar Held on the Theme: "Are You Identifying the 'Root Causes Leading to Results' Beyond Mere Correlation?"
Key facts
- Webinar Held on the Theme: "Are You Identifying the 'Root Causes Leading to Results' Beyond Mere Correlation?"
- Hootfolio Inc. will hold a webinar to identify the root causes that lead to results using its causal analysis AI, 'causal analysis®︎'. The webinar will introduce how to build a reproducible decision-making process, rather than relying on superficial correlations in increasingly complex data analysis.
- Source: PR Times
- Date: June 11, 2026
Direct answer
Hootfolio Inc. will hold a webinar to identify the root causes that lead to results using its causal analysis AI, 'causal analysis®︎'. The webinar will introduce how to build a reproducible decision-making process, rather than relying on superficial correlations in increasingly complex data analysis.
- Citation
- Webinar Held on the Theme: "Are You Identifying the 'Root Causes Leading to Results' Beyond Mere Correlation?" (June 11, 2026), PR Times
- Source
- PR Times
- Date
- June 11, 2026
Hootfolio Inc. will hold a webinar to identify the root causes that lead to results using its causal analysis AI, 'causal analysis®︎'. The webinar will introduce how to build a reproducible decision-making process, rather than relying on superficial correlations in increasingly complex data analysis.
📋 Article Processing Timeline
- 📰 Published: June 11, 2026 at 18:00
- 🔍 Collected: June 11, 2026 at 09:21
- 🤖 AI Analyzed: June 12, 2026 at 16:52 (31h 31m after Collected)
Details and Participation Application Here
■ Decision-making Becomes Increasingly Complex with Accelerated Digitalization
With the advancement of digitalization, the amount of data that companies can acquire and utilize continues to grow year by year.
Customer touchpoints span online and offline, and measures are diversifying. Data utilization has become a prerequisite in all areas, including marketing, sales, and product improvement.
Furthermore, the emergence of generative AI has dramatically improved the speed of analysis and reporting. The environment is becoming ready where "data is available" and "analysis can be done."
■ Identifying the 'Root Causes Leading to Results' from Complex Intertwined Factors
However, while many companies utilize data, few can explain "why results were achieved" or "what needs to be changed to increase results."
For example, in a resort hotel, one might think that "customer service" or "hospitality" should be strengthened to increase customer satisfaction and repeat intention. In reality, factors that drive results may be hidden among multiple intertwined factors such as meals, rooms, prices, and stay experience.
Relying solely on superficial scores and correlations can lead to misjudging the points that truly require focus, and measures that have consumed time and cost may not yield the expected results.
■ A Reproducible Decision-Making Process to Verify Hypotheses Through "Experiments"
Even if you identify the "factors that are truly effective" which were not visible through correlation alone, you cannot know if the measures derived from them will actually lead to results without verification.
This webinar will introduce a decision-making process to scientifically confirm the effectiveness of measures through causal analysis and experiments, and to continuously select "winning measures" with reproducibility.
Based on actual analysis cases, we will concretely explain how to proceed from identifying the root causes leading to results, to hypothesis design, verification, and implementation into the next actions.
■ Causal AI "causal analysis" as a Mechanism to Support Decision-Making
Hootfolio Inc., with its mission "Scientific decision-making for everyone," was spun off from NEC Corporation (NEC) in 2025.
Through its causal AI "causal analysis®︎ (Causal Analysis)," developed in NEC's research laboratories, it identifies "factors that drive results" from data without requiring specialized knowledge. It provides a seamless process from measure planning to verification and improvement through experiments.
It supports the practice of reproducible, scientific decision-making required in the generative AI era.
■ Recommended For:
- Those who struggle to identify effective messages and measures.
- Those who have data but cannot fully leverage it for decision-making.
- Those who want to break away from judgments based on experience or intuition.
- Those who want to build reproducible marketing and business strategies.
■ Organizer/Co-organizer
HOOTFOLIO Inc.
■ Cooperation
Majisemi Inc.
Details and Participation Application Here
Majisemi will continue to hold webinars that are "useful for participants."
Past seminar presentation materials and other ongoing seminars can be viewed here ▶.
Majisemi Inc.
3-12 Kioicho, Chiyoda-ku, Tokyo 102-0094
Inquiries: https://majisemi.com/service/contact/
Keywords:
■ Decision-making Becomes Increasingly Complex with Accelerated Digitalization
With the advancement of digitalization, the amount of data that companies can acquire and utilize continues to grow year by year.
Customer touchpoints span online and offline, and measures are diversifying. Data utilization has become a prerequisite in all areas, including marketing, sales, and product improvement.
Furthermore, the emergence of generative AI has dramatically improved the speed of analysis and reporting. The environment is becoming ready where "data is available" and "analysis can be done."
■ Identifying the 'Root Causes Leading to Results' from Complex Intertwined Factors
However, while many companies utilize data, few can explain "why results were achieved" or "what needs to be changed to increase results."
For example, in a resort hotel, one might think that "customer service" or "hospitality" should be strengthened to increase customer satisfaction and repeat intention. In reality, factors that drive results may be hidden among multiple intertwined factors such as meals, rooms, prices, and stay experience.
Relying solely on superficial scores and correlations can lead to misjudging the points that truly require focus, and measures that have consumed time and cost may not yield the expected results.
■ A Reproducible Decision-Making Process to Verify Hypotheses Through "Experiments"
Even if you identify the "factors that are truly effective" which were not visible through correlation alone, you cannot know if the measures derived from them will actually lead to results without verification.
This webinar will introduce a decision-making process to scientifically confirm the effectiveness of measures through causal analysis and experiments, and to continuously select "winning measures" with reproducibility.
Based on actual analysis cases, we will concretely explain how to proceed from identifying the root causes leading to results, to hypothesis design, verification, and implementation into the next actions.
■ Causal AI "causal analysis" as a Mechanism to Support Decision-Making
Hootfolio Inc., with its mission "Scientific decision-making for everyone," was spun off from NEC Corporation (NEC) in 2025.
Through its causal AI "causal analysis®︎ (Causal Analysis)," developed in NEC's research laboratories, it identifies "factors that drive results" from data without requiring specialized knowledge. It provides a seamless process from measure planning to verification and improvement through experiments.
It supports the practice of reproducible, scientific decision-making required in the generative AI era.
■ Recommended For:
- Those who struggle to identify effective messages and measures.
- Those who have data but cannot fully leverage it for decision-making.
- Those who want to break away from judgments based on experience or intuition.
- Those who want to build reproducible marketing and business strategies.
■ Organizer/Co-organizer
HOOTFOLIO Inc.
■ Cooperation
Majisemi Inc.
Details and Participation Application Here
Majisemi will continue to hold webinars that are "useful for participants."
Past seminar presentation materials and other ongoing seminars can be viewed here ▶.
Majisemi Inc.
3-12 Kioicho, Chiyoda-ku, Tokyo 102-0094
Inquiries: https://majisemi.com/service/contact/
Keywords:
FAQ
What can I learn from this webinar?
You can learn how to identify the 'root causes' leading to results from data and build a reproducible decision-making process based on causal relationships, not just correlations.
What kind of companies is this recommended for?
It is recommended for companies that have data but face challenges in how to utilize it or connect it to decision-making, and for those who want to move away from judgments based on experience or intuition.
What specifically does the 'causal analysis®︎' AI do?
It is an AI that identifies factors influencing results from data without requiring specialized knowledge, and supports the entire process from measure planning to verification and improvement through experiments.
How can I participate in the webinar?
You can proceed to the participation application page by clicking the 'Details and Participation Application Here' link in the article.
What effects can be expected from this webinar?
It is expected to lead to improved business results by identifying truly effective measures without relying on superficial analysis and optimizing time and costs.