Where is data sharing headed?
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20210008344 | ||
| 003 | MAP | ||
| 005 | 20220911211033.0 | ||
| 008 | 190329e20210301usa|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.133 | ||
| 100 | 1 | $0MAPA20210004544$aRusso, Massimo | |
| 245 | 1 | 0 | $aWhere is data sharing headed?$cBy Massimo Russo and Tian Feng |
| 260 | $aBoston$bThe Boston Consulting Group$bBCG Henderson Institute$c2021 | ||
| 300 | $a7 p. | ||
| 520 | $aBig companies, both tech giants and traditional industry incumbents, have recognized the value in data sharing and are positioning themselves to capture a significant share by expanding their existing vertical platforms to become super platforms. Super platforms aggregate data across both verticals and data entities to support the development of applications that address new sets of use cases. Smart-city open data platforms are nascent examples of this trend. As the value realized from sharing data grows, the models discussed here will evolve and others may emerge to unlock the value potential of the data economy. Understanding which models are available and how they align with specific data-sharing strategies will help companies decide what role they want to play in the fast-growing world of data-sharing ecosystems | ||
| 650 | 4 | $0MAPA20170004622$aPlataformas abiertas | |
| 650 | 4 | $0MAPA20080578848$aAnálisis de datos | |
| 650 | 4 | $0MAPA20080603885$aServicios compartidos | |
| 650 | 4 | $0MAPA20080597238$aIntercambio de datos | |
| 650 | 4 | $0MAPA20160001631$aCiudades inteligentes | |
| 700 | $0MAPA20100059913$aFeng, Tianjun | ||
| 710 | 2 | $0MAPA20100029008$aThe Boston Consulting Group |