Privately Owned Multinational Energy Corporation Streamlines Enterprise Data Visibility Using Advanced Cloud Data Lake Solution

INDUSTRY

Oil & Gas

REVENUE

$20 Billion+

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.

Multiple challenges marred the client’s growth journey

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.

No singular, consolidated view of enterprise data owing to absence of a centralized model and siloed operations across multiple geographical regions

Lack of effective enterprise-wide data governance leading to inability to define a streamlined decision-making process

Emtec Digital’s robust solution provided actionable insights across the enterprise data landscape

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.

azure-data-lake-solutions-architecture-diagram

Data pulled in from 140+ countries and 10 different regions worldwide

Different data types and structures supported

Data catalog and data lineage in development phase

~7 Terabytes of data over five years from 18+ enterprise systems consolidated in a single repository

Current implementation protocol is a common analytics model for data aggregation

Benefits to the client

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.