Supply chain management becomes vulnerable fast when decisions have to be made across systems, departments, and spreadsheets.
The data already exists — in your ERP, BI tools, Excel files, dashboards, and reports. But the supply chain team still spends too much time pulling numbers together, explaining variances, and creating the overview the systems don't provide on their own.
It's not necessarily a data problem. It's a decision problem.
When customers, products, suppliers, and inventory are analysed in isolation, decisions get made in isolation too. You can have plenty of reports and still be missing the most important thing: a shared decision foundation that shows where value is created, where capital is tied up, and where you should act first.
That's where the question of an intelligent analytics layer becomes relevant.
Not as yet another BI project. But as the layer that makes your supply chain data useful in the decisions that affect service levels, working capital, supplier performance, and product profitability.
Here are five signs you're ready to take the next step.