======Data Innovation 101======
This report discusses the potential of data-driven innovation to improve economic productivity and quality of life, and the need for policies to support its adoption.  \\ 
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^  Quick Facts  ^^
|Report location:  |[[http://www2.datainnovation.org/2013-data-innovation-101.pdf|source]]   |
|Language:  |English  |
|Publisher:  |[[encyclopedia:us_cdi_center_for_data_innovation|Center for Data Innovation]]  |
|Authors:  | Travis Korte, Daniel Castro  |
|Geographic focus:  |Global   |

=====Methods=====
The research method involved analyzing the impact of data-driven innovation across different sectors, reviewing existing technologies, and assessing the role of policy in supporting innovation.  \\ 
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=====Key Insights=====
Data-driven innovation has the potential to revolutionize various sectors by improving decision-making and efficiency. However, its adoption is hindered by a lack of supportive policies. The report advocates for policy measures to foster innovation, including developing human capital, advancing technology, and promoting data availability.  \\ 
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=====Additional Viewpoints=====
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<span #categories_box> Categories:  {{tag>English_publication_language}} |  {{tag>Global_geographic_scope}} |  {{tag>data-driven_innovation}} |  {{tag>data_availability}} |  {{tag>economic_productivity}} |  {{tag>human_capital}} |  {{tag>policy_support}} |  {{tag>privacy}} |  {{tag>public_sector}} |  {{tag>quality_of_life}} |  {{tag>security}} |  {{tag>technology_advancement}}   </span>  


~~DISCUSSION~~