Oil & Gas
The client is a global multinational mid- and downstream oil corporation with operations in over 47 countries. The firm is primarily involved in the refining, storage, supply, and retail distribution of a wide range of petroleum products.
The client was executing several enterprise programs heavily reliant on data from multiple systems including on-prem ERP, cloud CRM, Terminal Management Systems, and Fulfillment Systems. This voluminous data present in different formats across different platforms created critical challenges.
The primary task for our data engineering team was to streamline the data aggregation process by integrating data from diverse geographical locations to obtain a single source of truth for informed decision making. We implemented an enterprise-level data lake store to pull as-is data from different systems into a single layer and then push it to the data warehouse.
Our agile enterprise data lake architecture enabled the client to acquire a 360 degree view of enterprise data across geographically scattered systems for better processing. By implementing a sound enterprise data management strategy, the client was able to run analytics on vast amounts of data from various structured and unstructured system sources and garner actionable decision-fueling insights. There was a notable improvement in data operations through a uniform operational strategy defined and implemented across multiple regions. Our data lake solution further enabled the client to build and run centralized data governance models and create a standardized methodology for data acquisition and processing.
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