Harvesting Results with a Smart Data Warehouse
Harvesting Results with a Smart Data Warehouse
2 Pages© Panoply Ltd. 2019 CASE STUDY : AGRIWEBB The Challenge Ritchie shares that the company previously had no dedicated analytics infrastructure or a view of the business’s performance. Engineering and product teams had no ability to review the business in a 360-degree, cross-functional manner. Senior leadership relied upon preconfigured logic to generate charts with static information, which was inflexible and limiting. Ritche explains, “Frankly, we didn’t know what we didn’t know.” When the AgriWebb board requested reporting, engineers produced a CSV file by running a custom-built JavaScript with the required metrics numbers and KPIs, which was far from a sustainable practice. Ritchie knew that the company had a powerful set of data that could be managed and mined for insights with t
