The KonG/stock.adobe.com Amid ongoing global economic volatility, enterprises up and down the high-tech supply chain are adopting a range of data management tools and processes in order to more efficiently navigate frequent and dramatic fluctuations in both supply and demand. Supplementing existing lean and Six-Sigma operational excellence methodologies with RPA, advanced big data analytics, execution management and data process mining systems can dramatically improve a supply chain organization’s ability to quickly turn data into insights; and more cost-effectively turn these insights into actions that mitigate risk, reduce/control costs, promote sustainability and improve both working capital and labor productivity. Yet, there is a significant disconnect between the tremendous potential for various data management implementations and the disappointing reality that many enterprises report. According to Gartner’s 2024 CEO and Senior Business Executive Survey, only one third of respondents indicated that their investments in digital technologies have produced a useful return, while nearly 70% of executives felt their investments in digital were “wasted.” Gartner has also observed that working capital, asset and worker productivity ratios have stagnated since 2015. In managing various data management tool deployments to enhance vital supply chain processes across our organization, there are three fundamental requirements for capturing […]
K&X Design and Investment Technology, LLC
Invest The Invisible Impact
K&X Design and Investment Technology, LLC
Invest The Invisible Impact
