Executive Summary MRP is far less understood than is generally known. We cover the common reasons for this knowledge gap. Introduction When MRP systems, which stands for Material Requirements Planning, were first implemented, they were stand-alone systems. But in the 1980s, most of the MRP vendors were purchased by and incorporated into ERP systems. What…
Executive Summary A statistical forecast is a distinct way of creating a forecast. We cover what it is and why they are called statistical. Introduction What statistical forecasting is a common question. They are the most commonly automated way of creating a forecast and are the baseline forecast in most cases. However, even most people…
Executive Summary Hyperscale public cloud providers are tremendously efficient, but they are natural monopolies. Why the issue of public cloud monopolies needs to be discussed and regulated. Introduction It is only possible to name a few public cloud hyperscale providers. This is because the hyperscale providers have enormous economies of scale in their facilities and…
Executive Summary Established vendors often find themselves on the outside of new technological developments. They can pay Gartner and IDC to confuse the issue and make it seem like they are part of the new thing. Video Introduction: How Gartner and IDC Help Vendors Co-Opt Things They Are Unrelated To Text Introduction (Skip if You…
Executive Summary China has given Coronavirus to the world. China wants to point the fingers to other countries. The evidence is in on multiple dimensions, and this is the right time to reconsider relations with China. Introduction China has given the world a pandemic that is causing massive dislocations around the globe. The Chinese government…
Executive Summary sMAPE is one of the alternatives presented for limitations with MAPE forecast error measurement. sMAPE is generally low in effectiveness in providing feedback to improve the forecast. Introduction sMAPE, or Symmetrical Mean Absolute Percentage Error, is a significant but uncommon forecast error measurement. However, its complexity in calculation and difficulty in explanation make…
Executive Summary Open source projects emphasize their product’s capabilities, but they spend little time addressing how IT analysts fight against them. We cover how IT analysts like Gartner undermine open source without repercussions. Video Introduction: Why Open Source Does Not Fight Back Against Gartner and Other IT Analysts Text Introduction (Skip if You Watched the…
Executive Summary IT work has become increasingly entirely technically focused, with little concern for how the business functions. A significant reason for this is the IT employers. Introduction There is a great deal of emphasis on IT’s technical details, with far little emphasis on understanding what is being modeled. It turns out there are specific…
Executive Summary RMSE is a universally accepted forecast error measurement. RMSE is generally low in effectiveness in providing feedback to improve the forecast. Introduction RMSE, or Root Mean Square Error, is listed as one of the significant forecast error measurements. However, its complexity in calculation and difficulty in explanation make it a distant third to…
Executive Summary MAD is a universally accepted forecast error measurement. MAD is generally low in effectiveness in providing feedback to improve the forecast. Introduction MAD, or Mean Absolute Deviation, is one of the most common forecast error measurements in use. MAD is moderately easy to understand and relatively easy to calculate. However, when MAD is…