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Case Study

How enterprise data enablement and advanced analytics capabilities transformed the cloud experience for a leading fastening industry?

Client Background

The Client is a global leader in the fastening industry and the company’s leading brand has been recognized as the premier product in the thin sheet fastening industry for over 75 years

Client Need

  • The client is starting digital transformation to establish the baseline cloud infrastructure using AWS technologies as the foundation to support enterprise data enablement
  • Target state data platform and create the ability to scale data and analytic solutions
  • Develop data catalog, metadata capabilities
  • Simplify data ownership while integrating data via API’s

Our Solution

  • Foundational Cloud Infrastructure
    • Identified and federated access management through integration with AD (AWS SSO optional)
    • Centralized log archive, monitoring using Cloud Watch and SNS End-user account provisioning using AWS Service Catalogue
  • 360 view of Financials & Critical business KPI
    • Replaced current Penn data warehouse, ColdFusion, and DIVERBI with modern data tools
  • 360 view of suppliers
    • Created a global view of supplier characteristics that will support optimization of supplier negotiations
  • 360 view of customers
    • Developed customer characteristics view that will support all projects that require customer data with a combined view of prospects and accounts

Tools & Technologies

Amazon SNS, Cloudwatch, Control Tower, JD Edwards, SAP, IQMS, Salesforce, Qlik

Key Benefits

  • Complete data and analytics foundation and capabilities on Cloud to speed up data landscape
  • Reduced technical debt from legacy BI applications
  • Comprehensive coverage of reports and metrics for each business persona for faster and meaningful access to insights
  • Better data management and data governance for the entire data landscape in the Cloud
  • Enriched business experience and functionality with advanced analysis capability for insights-driven decision making
  • Faster onboarding of business users and new subject areas as data and capabilities gets consolidated
Case Study KeyPoints

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