Improving analytics capabilities through crowdsourcing

IF 4 4区 管理学 Q2 BUSINESS Mit Sloan Management Review Pub Date : 2016-01-01 DOI:10.7551/mitpress/11633.003.0020
Joseph Byrum, A. Bingham
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引用次数: 4

Abstract

Syngenta, an agrochemical and seed company based in Basel, Switzerland, was formed in 2000 by the merger of the agribusiness units of Novartis and AstraZeneca. For centuries, plant breeding has been a labor-intensive process that depended largely on trial and error. Luck played a decisive role, as breeders relied heavily on intuition and guesswork to decide which varieties to cross-pollinate. Syngenta set out to use open innovation to harness the power of data analytics so we could identify genetic combinations that unlock desirable characteristics in soybean plants, such as the highest yield. Syngenta's vision was to create a suite of software tools that would replace intuition in plant breeding with data-backed science. The tool Syngenta envisioned would conduct what's known as a residual analysis the calculated difference between the observed value of a genetic trait and the predicted value of that trait based on a statistical model across many locations. Over the past eight years, Syngenta has used open- innovation platforms to develop more than a dozen tools in its data analytics suite.
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先正达是一家总部位于瑞士巴塞尔的农用化学品和种子公司,于2000年由诺华和阿斯利康的农业综合部门合并而成。几个世纪以来,植物育种一直是一个劳动密集型的过程,主要依赖于试验和错误。运气起了决定性的作用,因为育种者在很大程度上依赖直觉和猜测来决定哪些品种需要异花授粉。先正达开始利用开放式创新来利用数据分析的力量,这样我们就可以识别基因组合,从而解锁大豆植物的理想特性,比如最高产量。先正达的愿景是创建一套软件工具,用数据支持的科学取代植物育种的直觉。先正达公司设想的工具将进行所谓的残差分析,即根据多个地点的统计模型计算出的遗传性状的观察值与该性状的预测值之间的差异。在过去的八年里,先正达利用开放式创新平台,在其数据分析套件中开发了十多个工具。
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