2022 Big Data Eliminating Excel in Purchasing Inventory 
Enterra Insights
JUNE 24, 2022
Most of us understand that barcodes contain information that help retailers track inventory; however, few of us know much more about them. This gives a business constant access to up-to-date data, allowing it to quickly calculate meaningful metrics like inventory turn, value of inventory on-hand or sales per week by item.”
Supply Chain Shaman
SEPTEMBER 13, 2023
If S&OP efforts were that effective, don’t you think that we would have made more progress against inventory levels, margin, and growth? The issues are largely rooted in politics and the lack of clarity on supply chain excellence. Bullwhip Effect at LKQ Europe Summer 2022 Testing So, why do we not measure it?
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Supply Chain Shaman
MAY 26, 2023
Current Familiarity with Analytic Concepts (Fall 2022 Snapshot) Preamble Supply chain leaders love their rows and columns. Like Linus clinging to his blanket, supply chain teams make most of their decisions on Excel spreadsheets. A unified NoSQL data model reduces the latency to drive data across nodes and trading partners.
Supply Chain Shaman
SEPTEMBER 22, 2021
As Allyson presented her story of working for multiple consumer products companies, with very advanced technologies (demand sensing, advanced automation of forecasting, data lakes and descriptive analytics), she spoke of why at the end of the day, the most important technology that she uses is Excel. September 2021-March 2022.
Vinculum
APRIL 18, 2022
Supply chains are now thought of while buying goods and services. Supply chain management trends in 2022: Automation and advanced analytics will grow. Implementing prescriptive and predictive analytics with advancements in robotics, big data, and algorithms will leave long-term effects.
Enterra Insights
OCTOBER 26, 2022
billion industry that is already making big changes to the way we understand and use immense databases for a wide range of purposes. He explains, “Machine learning excels at rapidly organizing, analyzing, and making intelligent decisions and recommendations based on large quantities of data. ” IT Pro, 19 July 2022.
NC State SCRC
AUGUST 18, 2022
AI has a bright future, but organizations can begin to prepare for this by focusing on data quality and standardization, to establish a solid foundation for the application of these emerging AI technologies. The need to drive efficiencies through digital transformation is also on-going.
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