Analytics Eliminating Excel in Purchasing Industrial Metrics 
Logility
MAY 22, 2020
User adoption is a challenge that often arises during the rollout of supply chain analytics solutions. Users are accustomed to building everything in Excel and manipulating the data as needed for their own particular use, typically using static reports or spreadsheets that are siloed in specific departmental needs.
Supply Chain Shaman
MAY 1, 2023
The use of descriptive analytics along with agile planning techniques (what-if analysis, discrete event simulation, and network design) helped. Analytics investments are essential. We find that companies with an analytics center of excellence drove progress faster than those with a supply chain center of excellence.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Supply Chain Shaman
APRIL 9, 2021
The myopic focus on IT standardization resulted in the purchase of technology, but not value delivery. Focus on functional metrics without alignment to a balanced scorecard to drive value. Over the last decade, in the building of global supply chains, organizations grew more political with gaming on metrics. Mistake #3.
SYSPRO Smarter ERP
AUGUST 2, 2023
As members of one of the most highly regulated industries in the world, medical device manufacturers face numerous challenges. From stringent quality standards to comprehensive documentation requirements, Class 1 and 2 manufacturers must navigate a complex landscape to ensure compliance and product excellence.
Supply Chain Shaman
JULY 25, 2021
I find the industry complicit. To make the point, let me share an orbit chart for four industries (reference Figure 1). While some might claim that the industry made progress, the facts show that the industry margin decreased precipitously in three of the four industries shown. How could the industry spend 1.7%
Supply Chain Shaman
FEBRUARY 18, 2021
Resist the temptation to place deeper analytics on top of existing data models. Out of desperation, they turned to the use of descriptive analytics. While the industry is flush with terms like digital twin and what-if modeling, current applications were not equal to the need. I love the metaphor of watermelon metrics.
ThroughPut
NOVEMBER 28, 2023
Supply chain analytics combines powerful algorithms, data, and the latest technologies like Artificial Intelligence and Machine Learning to address the most elusive challenges in the supply chain right now – visibility and control. And that’s precisely what’s on the horizon for supply chain analytics.
Expert insights. Personalized for you.
148 
Let's personalize your content