Supply Chain Data and reporting developments
A large multinational oil and gas company partnered with Squery for two significant projects. The organization was experiencing intricate structural changes across its various business lines, departments, and divisions, which led to disjointed reporting environments, scattered key performance indicators (KPIs), and a heavy dependence on manual data consolidation. To tackle these issues comprehensively, Squery assigned a team of consultants specialized in Power BI, Tableau, and Snowflake. On the enterprise reporting front, the team created a cohesive data model, established ETL pipelines, and integrated data from various sources into standardized dashboards in Tableau and Power BI. This provided leadership with quick access to precise KPIs, highlighted supply chain issues, and allowed for genuine product cost optimization. Simultaneously, for the client's marine logistics division, Squery crafted an optimized Snowflake data model and introduced a self-service BI platform that centralized all source systems, enhancing global visibility into shipping routes, fleet performance, and operational efficiency. The overall outcome was a unified, scalable data foundation that broke down silos, automated reporting processes, and empowered business users organization-wide to make quicker, more informed decisions. The engagement ultimately reported savings of $60 million, established a single worldwide source of truth, and enabled over 80 new business KPI analyses. Technologies utilized included Snowflake, Power BI, Tableau, SQL, and Alteryx.