Any organization uses various applications to manage its operations. A company stores sales data in an ERP system, customer information is in a CRM system, and employee information is in the HR system. If a company has recently merged with another company, it makes matters more complicated. Each of them has their systems so sales data may exist in two different ERP systems of varying brand like SAP, Oracle, Peoplesoft, etc.
So existing Supply chain data-warehouse or data lake might not have all the data required for creating a predictive model. Even though when the data is there, it is not structured correctly and understood. Data Scientists and analysts have to spend many hours discovering data and incorporate it into the model.
We have divided the challenges into two categories:
- Challenges in developing or enhancing the supply chain optimization model
- Challenges in operationalizing a model into production