Risk du Jour: Are You Equipped to Understand the Impact of Tariffs on Your Business?
Why is today’s trade crisis (and every other crisis that comes along) so difficult for OEM suppliers to assess impact. Plus a suggestion for fixing it.
Your Master Data Strategy Should Start Far Earlier than ERP. Here Is What It's Costing You...
We are having a lot of conversations with manufacturers these days about master data strategy. Manufacturers are waking up to the fact that a true master data strategy starts much earlier than the company ERP system. Optimal master data strategy for the enterprise captures data consistently when opportunities are in their commercial infancy.
This is the time of year for alternative planning scenarios...stop spending months creating and refining just one forecast. Manufacturers who do not yet have a rolling forecast, including scenarios, risk underperforming competitors who are more prepared.
4 essential capabilities manufacturers must adopt to have the "P"
I've never understood why there was a “P” in ERP. Most discrete manufacturers don't leverage ERP for forecasting and planning the future of the business beyond a few weeks.
What's in the way of knowing your capacity utilization, and not wasting capital
One of the chief determinants of whether or not a manufacturer in any supply chain makes money is how well it leverages its manufacturing assets. High capacity utilization typically means you're making money.
One of the fun parts of my role at Saphran is leading Saphran Analytics University. Our clients come up with some great ways to view the financial and operational future of their businesses. Executives leverage these forecast analytics extensively to determine future investments, maximize capacity utilization and forge discipline to achieve commercial growth. And we like to share these best practice analytics when possible.
Was it another regrettable fire drill effort to build the forecast this year? Manufacturers in OEM supply chains are learning to align their commercial opportunity management processes to make forecasts live and rolling, versus the typical 3-month build process.