The ongoing data dilemma and fear of “garbage-in garbage-out” is alive and well. Enterprises working earnestly to solve this problem realize it’s even harder with the emergence of the Digital Revolution, IoT, Predictive Analytics, Machine Learning, and Embedded Software technologies. These technologies explode massive amounts of data upon business and consumer ecosystems alike requiring new levels of discipline and technical innovation. Successful businesses need to effectively harness, cleanse, and manage massive amounts of data to…
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Receiving orders and receiving cash is the lifeblood of a profitable business. However, the activities between the time the order is received to actually receiving the promised cash in the bank account is a process ripe with risks and opportunities. There have been many years of conversations regarding Lean in supply chain and logistics management. An area that should be examined as part of Lean is the order to cash cycle (O2C). This cycle is…
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The drive to compete in the Digital Economy has accelerated organizations from strategy development to investing in project deployments in the last couple of years. Areas of investment run the gamut, but a large share are focused on digitizing global supply chains. Projects are being enabled by new digital technology platforms (not unlike Uber, Netflix, etc.) that streamline information, processes, machines, and human assets across value chain ecosystems – accelerating cycle time, service, cost, and…
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Large amounts of behavior variability exist from the time a customer issues a purchase order to the time the supplier’s truck arrives to the customer and the customer inspects the goods to ensure they received what was ordered and there are no damages. For an enterprise to continually improve, it must measure key metrics during this process. A company should measure if the quantity shipped was the quantity the customer requested, did it ship on…
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Digital transformation is an exciting phase in the evolution of business automation and value creation enabled through enhancements in mathematics, software and hardware. It’s all about further extending information, intelligence and automation to drive value. Traditionally, companies used latent technologies like Electronic Data Interchange (EDI), along with legacy supplier and customer collaboration platforms, based on static or latent data, to drive value. These solutions can improve collaboration and shorten decision cycle times, but they produce…
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