data-workbench 
BlueYonder
AUGUST 28, 2023
Data: A Challenge and an Opportunity Today’s digitally connected world means that companies have access to enormous volumes of near real-time data that can help them manage their end-to-end supply chains profitably and precisely, despite uncertainty. They can anticipate these events and resolve them proactively, instead of reactively.
Supply Chain Shaman
JUNE 9, 2023
Each box has an optimizer that drives output from a model based on a functional definition using enterprise data. There is no unifying data model; all items are treated equally, regardless of the flow. What is the data and process latency in current decisions? Is the plan feasible? What is the offset from the market?
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BlueYonder
DECEMBER 18, 2023
In addition, the suite was recently enhanced with Analyst Workbench , providing a holistic and user-friendly dashboard for insights across the order life cycle. Each microservice has its own integration path and its own technical stack to support its function, which allows for scalability and extensibility.”
Logility
APRIL 21, 2020
In large part due to computer processing power, new advances in forecasting and the abundance of new data sources have helped to increase forecast reliability. Historical transactions, external data about market conditions, and expert inputs from sales and marketing teams were combined into one forecast methodology.
Supply Chain Shaman
OCTOBER 16, 2016
Differences exist in data models, planning hierarchies, and data definitions. As a result, it is difficult to roll-up planning data for decision-making across the company post merger. The CIF interface offers improved outcomes between ERP and time-sensitive data like Available-to-Promise (ATP). What does this look like?
QAD
SEPTEMBER 6, 2022
They use QAD’s Master Planning and Scheduling Workbench (MSW/PSW) to produce the production schedule aligned with customer demand. On a daily basis, the automotive supplier creates a shipping schedule using the data from the night’s MRP run, taking into consideration any last-minute customer requirements.
The Network Effect
JUNE 11, 2014
In part one I laid out the 5 stage maturity model that shows how organizations can turn their “big data” into “big visibility” The stages are 1) Representation; 2) Accessibility; 3) Intelligence; 4) Decision Management; 5) Outcome-Based Metrics and Performance. Note: this is part 2 in a series of posts.
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