Digital Transformation, End-to-End Visibility, and the “Data Problem”

Given the macroeconomic climate and the “Amazon effect,” many companies are looking to digitally transform their businesses.

For decades, businesses have largely derived efficiency and profitability through scale. This led to a focus on larger store footprints, warehouse space and buffer stock, and the ability to transport goods on mega vessels for unit cost savings. In the last few decades, however, customer expectations have gone up, largely dovetailing off the service that Amazon provides. Retailers and manufacturers have been forced to modernize and deliver with much higher reliability and timeliness. Many executives are now looking to transform their supply chains from a reactive cost-center to a strategic advantage.

There are many applications of digital transformation but, holistically, it’s about businesses transforming their supply chains with data and gaining better access to that data, making sense of that data, and using in a fundamentally different way to drive profitability.

“It is impossible to get end-to-end visibility unless you’re cleaning and solving the underlying data problem. Only when you are able to solve that underlying data problem can you make not only better, but fundamentally different, decisions.”

We spoke to Clearmetal CEO Adam Compain about what true end-to-end visibility is, why most companies haven’t been able to achieve it yet, and how solving the ‘data problem’ can get you there.

Read the full article here.