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The Why for Data Integrity and Visualization
Overview
Due to mergers and acquisitions, organic growth, and reorganization, a global ag supply chain company faced a complex data and analytics environment. The organization recognized that generating accurate, and consolidated data enterprise-wide was essential for continued growth and key leadership decision making. This led to the realization that it was crucial for them to upgrade and improve their data and analytics landscape and capabilities.
Key Challenges
With multiple ERP environments, an increasing volume of data, and numerous extract and load jobs, the organization faced considerable challenges. Some of the challenges included:
Duplicate data across multiple environments
Frequent data load timeouts and errors
Increased resource demand to address issues
Lack of trust in data from business decision makers
Results
The global ag supply chain company engaged CPS to assist in the transformation of their data and analytics environment. The first step was to review and implement system monitoring, providing clarity of data load failures and timeouts. This enabled them to focus on core system improvements including implementing a modernized extract, transform & load (ETL) tool and creating an enterprise data warehouse. Additionally, their aging environment was migrated to a modern data and analytics platform. With these modifications, they now possess the capability to supply reliable data and essential reports for crucial decision-making processes. These changes established the groundwork for upcoming master data governance initiatives, introduced a fresh framework for ETL & ELT processes, and established a scalable data architecture landscape for the future.
2 weekly
2 quarterly
IT reporting outages
1
reliable / stable environment
100%
employee satisfaction
1
trusted outsourced partner
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