Procurement leaders want their purchasing decisions to be driven by lessons and insights gained from their organization’s order history data. Gone are the days where the post-purchase data was used only for accounting and reconciliation purposes.
With thousands of employees buying on Amazon Business, procurement organizations realize that they can do more with this data. However, to tell a story from their procurement data, organizations will need to invest in business intelligence (BI) engineers, data scientists and dedicated teams of IT personnel. Machine learning (ML) continues to be just a buzzword for these professionals, as they do not yet see the benefits of ML in their everyday decision-making.
The Amazon Business Analytics portal provides the tabular order history data by various pivots, including orders, refunds and reconciliation reports. While this acts as a good mechanism to look up specific details about an order, customers told us that they spend multiple hours each month to understand the data and gain insights into the spend patterns of their organization. Customers heavily relied on the CSV download feature to continue to their analysis. They essentially needed to gain BI from their data.
To help solve this problem, we partnered with Amazon QuickSight to bring BI to organizations’ Amazon Business order data.