Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making
We present a new method for trend analysis that integrates traditional foresight techniques with advanced data processing and artificial intelligence. It addresses the challenge of analyzing large volumes of information while preserving expert insight. The hybrid methodology combines computational a...
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| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/16/7/605 |
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| author | Mabel López Bordao Antonia Ferrer Sapena Carlos A. Reyes Pérez Enrique A. Sánchez Pérez |
| author_facet | Mabel López Bordao Antonia Ferrer Sapena Carlos A. Reyes Pérez Enrique A. Sánchez Pérez |
| author_sort | Mabel López Bordao |
| collection | DOAJ |
| description | We present a new method for trend analysis that integrates traditional foresight techniques with advanced data processing and artificial intelligence. It addresses the challenge of analyzing large volumes of information while preserving expert insight. The hybrid methodology combines computational analysis with expert validation across four phases: literature review, information systematization, trend identification, and analysis. Tools like Voyant Tools 2.6.18 and NotebookLMare used for semantic and statistical exploration. Among them, we highlight the use of the Defly Compass tool, a natural language processing tool based on semantic projections and developed by our team. The method produces mixed results, including both conceptual conclusions and quantifiable, reproducible outcomes adaptable to diverse contexts. Comparative case studies in agriculture, education, and public health identified key patterns within and across sectors. Cross-domain validation revealed universal trends such as digital infrastructure, data integration, and equity. Designed for accessibility, the method enables small, non-specialized teams to combine computational tools with expert knowledge for strategic decision making in complex environments. |
| format | Article |
| id | doaj-art-0aed4d532a934e86b83f97eca54e4d0f |
| institution | Matheson Library |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-0aed4d532a934e86b83f97eca54e4d0f2025-07-25T13:25:14ZengMDPI AGInformation2078-24892025-07-0116760510.3390/info16070605Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision MakingMabel López Bordao0Antonia Ferrer Sapena1Carlos A. Reyes Pérez2Enrique A. Sánchez Pérez3Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, SpainInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, SpainInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, SpainInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, SpainWe present a new method for trend analysis that integrates traditional foresight techniques with advanced data processing and artificial intelligence. It addresses the challenge of analyzing large volumes of information while preserving expert insight. The hybrid methodology combines computational analysis with expert validation across four phases: literature review, information systematization, trend identification, and analysis. Tools like Voyant Tools 2.6.18 and NotebookLMare used for semantic and statistical exploration. Among them, we highlight the use of the Defly Compass tool, a natural language processing tool based on semantic projections and developed by our team. The method produces mixed results, including both conceptual conclusions and quantifiable, reproducible outcomes adaptable to diverse contexts. Comparative case studies in agriculture, education, and public health identified key patterns within and across sectors. Cross-domain validation revealed universal trends such as digital infrastructure, data integration, and equity. Designed for accessibility, the method enables small, non-specialized teams to combine computational tools with expert knowledge for strategic decision making in complex environments.https://www.mdpi.com/2078-2489/16/7/605trendforecastingfuturesNLPDefly Compasssemantic projection |
| spellingShingle | Mabel López Bordao Antonia Ferrer Sapena Carlos A. Reyes Pérez Enrique A. Sánchez Pérez Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making Information trend forecasting futures NLP Defly Compass semantic projection |
| title | Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making |
| title_full | Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making |
| title_fullStr | Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making |
| title_full_unstemmed | Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making |
| title_short | Defly Compass Trend Analysis Methodology: Quantifying Trend Detection to Improve Foresight in Strategic Decision Making |
| title_sort | defly compass trend analysis methodology quantifying trend detection to improve foresight in strategic decision making |
| topic | trend forecasting futures NLP Defly Compass semantic projection |
| url | https://www.mdpi.com/2078-2489/16/7/605 |
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