图 2：点击查看大图
2、进化为知识共享型供应链价值网络
驱动更为复杂的专注于知识分享和协作的供应商网路，从而让供应商网络不仅仅是完成交易而是带来增值。
Enabling more complex supplier networks that focus border="0" title="" align="center" />
图 3：点击查看大图
3、供应链能力的提升
大数据和高级分析技术正更快速的集成到供应链能力(Supply Chain Capabilities)当中。
Big data and advanced analytics are being integrated into optimization tools, demand forecasting, integrated business planning and supplier collaboration & risk analytics at a quickening pace.
德勤的调研显示，当前使用最多的前四种供应链能力为：优化工具，需求预测，集成业务预测、供应商协作和风险分析。更多见图4.
These are the top four supply chain capabilities that Delotte found are currently in use form their recent study, Supply Chain Talent of the Future Findings from the 3rdAnnual Supply Chain Survey (free, no opt-in). Control tower analytics and visualization are also border="0" title="" align="center" />
图 4：点击查看大图
4、供应链领域的颠覆性技术
64%的供应链高管将大数据分析看成颠覆性的重要技术，这是企业长期变革管理的重要基础。
64% of supply chain executives consider big data analytics a disruptive and important technology, setting the foundation for long-term change management in their organizations.
图 5：点击查看大图
5、优化整合供应链配送网络
利用基于大数据的地理分析技术 (Geoanalytics) 来整合优化供应链配送网络。
Using geoanalytics based border="0" title="" align="center" />
图 6：点击查看大图
6、供应链问题的优化
对供应链问题的优化。大数据可以帮助企业将对供应链问题的反应时间提升41%，将供应链效率提升10%甚至超过36%，跨供应链的整合提升至36%。
Big data is having an impact border="0" title="" align="center" />
图 7：点击查看大图
7、供应链运营的整合
将大数据分析集成到供应链运营中可以将订单满足周期提升4.25倍、将供应链效率的提升2.6倍
Embedding big data analytics in operations leads to a 4.25x improvement in order-to-cycle delivery times, and a 2.6x improvement in supply chain efficiency of 10% or greater. Accenture found that embedding big data into supply chain operations accelerates supply chain processes a minimum of 1.3x over using big data border="0" title="" align="center" />
图 8：点击查看大图
8、供应链财务指标的追踪
对供应链战略、战术、运营更深入的情境智能应用，正在影响公司的财务指标。
Greater contextual intelligence of how supply chain tactics, strategies and operations are influencing financial objectives.
供应链可视化，通常是指能够清晰的看到供应链网络中供应商的多层次结构。作者的经验告诉我们，通过供应链决策的财务结果追踪回财务指标是可行的；而且通过将大数据应用与财务系统集成，提升行业快速的库存周转率是非常有效的。
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.
图 9：点击查看大图
9、产品质量追踪
产品追踪和召回本质上都是数据密集型的，大数据在这方面的潜在贡献是显著的。
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、供应商质量提升