圖 8：點擊查看大圖
8、供應(yīng)鏈財務(wù)指標的追蹤
對供應(yīng)鏈戰(zhàn)略、戰(zhàn)術(shù)、運營更深入的情境智能應(yīng)用，正在影響公司的財務(wù)指標。
Greater contextual intelligence of how supply chain tactics, strategies and operations are influencing financial objectives.
供應(yīng)鏈可視化，通常是指能夠清晰的看到供應(yīng)鏈網(wǎng)絡(luò)中供應(yīng)商的多層次結(jié)構(gòu)。作者的經(jīng)驗告訴我們，通過供應(yīng)鏈決策的財務(wù)結(jié)果追蹤回財務(wù)指標是可行的；而且通過將大數(shù)據(jù)應(yīng)用與財務(wù)系統(tǒng)集成，提升行業(yè)快速的庫存周轉(zhuǎn)率是非常有效的。
Supply chain visibility often refers to being able to see multiple supplier layers deep into a supply network. It’s been my experience that being able to track financial outcomes of supply chain decisions back to financial objectives is attainable, and with big data app integration to financial systems, very effective in industries with rapid inventory turns. Source: Turn Big Data Into Big Visibility.
圖 9：點擊查看大圖
9、產(chǎn)品質(zhì)量追蹤
產(chǎn)品追蹤和召回本質(zhì)上都是數(shù)據(jù)密集型的，大數(shù)據(jù)在這方面的潛在貢獻是顯著的。
Traceability and recalls are by nature data-intensive, making big data’s contribution potentially significant. Big data has the potential to provide improved traceability performance and reduce the thousands of hours lost just trying to access, integrate and manage product databases that provide data on where products are in the field needing to be recalled or retrofitted.
10、供應(yīng)商質(zhì)量提升
通過基于大數(shù)據(jù)的質(zhì)量控制可以提升供應(yīng)質(zhì)量。
Increasing supplier quality from supplier audit to inbound inspection and final assembly with big data. IBM has developed a quality early-warning system that detects and then defines a prioritization framework that isolates quality problem faster than more traditional methods, including Statistical Process Control (SPC). The early-warning system is deployed upstream of suppliers and extends out to products in the field.
本文原文作者：Louis Columbus, Fobes專欄作家
I’m serving as Director of Marketing, eCommerce and Analytics for Apttus. Previous positions include product marketing at iBASEt, Plex Systems, senior analyst at AMR Research (now Gartner), marketing and business development at Cincom Systems, Ingram Micro, a SaaS start-up and at hardware companies. I am also a member of the Enterprise Irregulars. My background includes marketing, product management, sales and industry analyst roles in the enterprise software and IT industries. My academic background includes an MBA from Pepperdine University and completion of the Strategic Marketing Management Program at the Stanford University Graduate School of Business. I teach MBA courses in international business, global competitive strategies, international market research, and capstone courses in strategic planning and market research. I’ve taught at California State University, Fullerton: University of California, Irvine; Marymount University, and Webster University. You can reach me on Twitter at @LouisColumbus. The author is a Forbes contributor. The opinions expressed are those of the writer.