MANUFACTURING
Semiconductor
Technology

Case Study: Survey Data Analysis for Fortune 100 Company

Survey Data Analysis for a Fortune 100 Company

  • CLIENT

    A Fortune 100 Manufacturing Company

  • LOCATION

    Hillsboro, Oregon

  • TEAM SIZE

    6-member delivery team

  • INDUSTRY

    Technology, Semiconductor, Manufacturing

data 100
Challenge

The Manufacturing Company needed a scalable and reliable way to capture, process, and analyze large volumes of survey data collected from employees and partners across multiple engagement channels.

Survey data was generated from diverse sources, including web interactions, email campaigns, newsletters, Smartsheet, and direct surveys, making consolidation and consistency a challenge.

Key challenges included ensuring data quality and standardization through a robust ETL process, reducing manual effort in data verification, integrating survey data with other internal datasets to provide broader context, and delivering clear, actionable insights through enterprise-grade reporting. Manual validation processes limited efficiency, and fragmented datasets made it difficult to derive meaningful insights at scale.

Services

Logic Intelligence provided end-to-end data and analytics services, including multi-source data capture, ETL design and implementation, AI-assisted automation, data integration, and analytics delivery. Services also included secure data storage design, creation of analytical data structures for efficient querying, and development of executive-ready dashboards. The engagement focused on reducing manual effort, improving data quality, and enabling scalable, repeatable survey analytics across the organization.

Solution

Logic Intelligence designed and implemented a multi-step survey data analytics solution that captured, cleansed, integrated, and analyzed survey data from multiple engagement platforms. Survey data was ingested from systems such as Eloqua, ExactTarget, web applications, newsletters, and Smartsheet, then processed through a robust ETL pipeline to remove duplicates, normalize values, and validate entries.

AI-driven automation was applied to reduce manual data verification and improve processing efficiency. The cleansed survey data were integrated with other relevant internal datasets to create a unified analytical view. The unified data was structured into analytical cubes to support efficient querying and downstream reporting. Power BI dashboards were then developed to deliver comprehensive visualizations and insights for decision-makers.

Technologies Used
Data Capture and Integration
  • Eloqua
  • ExactTarget
  • Web applications and newsletter platforms
  • Smartsheet
Data Engineering and Analytics
  • ETL pipelines for data cleansing, normalization, and validation
  • AI automation for data verification and quality checks
  • Secure relational databases for centralized data storage
  • Analytical data cubes for optimized querying and analysis
Reporting and Visualization
  • Power BI dashboards for survey analysis and insight visualization
Business Outcomes

Logic Intelligence delivered a comprehensive survey analytics solution that significantly improved the Manufacturing Company’s ability to capture, manage, and analyze survey data at scale. The automated ETL and AI-driven validation processes reduced manual intervention and improved data quality and consistency. By integrating survey data with other internal datasets, the Manufacturing Company gained a more holistic view of engagement trends. The Power BI reports provided clear, actionable insights, enabling stakeholders to make informed, data-driven decisions based on reliable survey intelligence.