Successful Digital Transformation Relies on Trustworthy Data

In the midst of economic uncertainty and an unpredictable market, business leaders are increasingly investing in digital transformation projects to stay agile and bolster supply chain resiliency. In fact, a recent survey by Gartner found that 82% of CEOs in supply chain-intensive industries plan to increase investments in digital capabilities over the coming months. To achieve digital transformation aims, companies must redesign their processes with automation built-in, leveraging machine learning or artificial intelligence models, and take the steps needed to ensure the high volumes of data powering them is accurate, consistent, and contextual. The integrity of the data fueling these technologies directly impacts its performance and reliability, so it is essential for businesses to ensure they are putting foundations of trusted data in place. Below are three key steps that organizations should take to achieve digital transformation success: Break down data silos. When organizations evaluate their supply chain, they often encounter large amounts of data. For any single product or good produced, leaders must synthesize data surrounding how it was made, its journey from manufacturer to carrier, how it was transported to a port or distribution center, and more. As the product changes hands and is transported from location […]

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