Description of 12 projections about influence of BDML
| # | Foresight step | Short title | Projection |
|---|---|---|---|
| 1 | Pre-foresight | Support objectives definition | Future-oriented activities’ objectives will be easily defined using BDML tools for its development in 2025 |
| 2 | Pre-foresight | Guide methodological choice | The possibility of using BDML tools will make the methodological choice for futures studies easier in 2025 |
| 3 | Recruitment | Require analytical skills | Data scientists or coding, analyzing and data visualization skills will be required to develop consistent futures studies in 2025 |
| 4 | Recruitment | Support data collection | The relevant data for future-oriented activities will be less time-consuming and easily accessed using big data tools in 2025 |
| 5 | Recruitment | Improve data quality | The quality of future-relevant data will be significantly enhanced by the application of BDML tools or techniques in foresight studies in 2025 |
| 6 | Generation | Enhance data analysis | The quality of future-relevant data analysis will be significantly enhanced by the adoption of BDML tools and techniques in foresight studies in 2025 |
| 7 | Generation | Drive qualitative methods | BDML tools and techniques will be critical to support qualitative analysis in foresight activity in 2025 |
| 8 | Generation | Increase data manipulation | The use of big BDML solutions for futures studies will increase the frequency of manipulated (or biased) data in 2025 |
| 9 | Action | Support results transfer | BDML tools and techniques will increase futures studies’ embeddedness to strategic planning or decision-making in 2025 |
| 10 | Action | Increase decision accuracy | BDML tools and techniques will increase the accuracy of decision-making based on foresight in 2025 |
| 11 | Renewal | Support foresight evaluation | Evaluating and monitoring future-oriented activities will be easily reached when using BDML tools in 2025 |
| 12 | Renewal | Support objectives’ reach | Futures studies’ objectives will be easily reached when BDML tools are used for its development in 2025 |
| # | Foresight step | Short title | Projection |
|---|---|---|---|
| 1 | Pre-foresight | Support objectives definition | Future-oriented activities’ objectives will be easily defined using BDML tools for its development in 2025 |
| 2 | Pre-foresight | Guide methodological choice | The possibility of using BDML tools will make the methodological choice for futures studies easier in 2025 |
| 3 | Recruitment | Require analytical skills | Data scientists or coding, analyzing and data visualization skills will be required to develop consistent futures studies in 2025 |
| 4 | Recruitment | Support data collection | The relevant data for future-oriented activities will be less time-consuming and easily accessed using big data tools in 2025 |
| 5 | Recruitment | Improve data quality | The quality of future-relevant data will be significantly enhanced by the application of BDML tools or techniques in foresight studies in 2025 |
| 6 | Generation | Enhance data analysis | The quality of future-relevant data analysis will be significantly enhanced by the adoption of BDML tools and techniques in foresight studies in 2025 |
| 7 | Generation | Drive qualitative methods | BDML tools and techniques will be critical to support qualitative analysis in foresight activity in 2025 |
| 8 | Generation | Increase data manipulation | The use of big BDML solutions for futures studies will increase the frequency of manipulated (or biased) data in 2025 |
| 9 | Action | Support results transfer | BDML tools and techniques will increase futures studies’ embeddedness to strategic planning or decision-making in 2025 |
| 10 | Action | Increase decision accuracy | BDML tools and techniques will increase the accuracy of decision-making based on foresight in 2025 |
| 11 | Renewal | Support foresight evaluation | Evaluating and monitoring future-oriented activities will be easily reached when using BDML tools in 2025 |
| 12 | Renewal | Support objectives’ reach | Futures studies’ objectives will be easily reached when BDML tools are used for its development in 2025 |
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