Last year, I attended a thought-provoking supply chain conference hosted by an industry analyst organization. The agenda was packed with interesting supply chain topics - cost-to-serve strategies, supply network optimization, S&OP integration, demand shaping tactics, etc. However, the event gave almost no attention to the foundation upon which advanced supply chain planning and execution strategies rest: supply chain integration.
Voice-based warehouse solutions continue to gain converts and to evolve, with the latest iterations bringing in smart phones, tablets and sensors. Jennifer Lachenman, vice president of product strategy at Lucas Systems, says these adaptations better serve a changing workforce.
Big data is the all the rage and getting tons of press as it has allowed manufacturers and supply chain executives to create new and compelling data-driven strategies that help them compete, innovate and capture wallet-share. Perhaps fueled in part by the likes of leading database vendors or system integrators (SIs) looking to cash in on high-dollar predictive analytic and scoring engagements, big data represents many things to many people, but one of the most pragmatic applications is mastering all the data elements used in a business infrastructure. The term commonly used for this process is master data management, or MDM.