Data Transformation For Better Decision-Making

A precision manufacturing company struggled with manual data processes that slowed reporting and made it difficult to monitor operations and financials. As the business expanded, these inefficiencies created risks in decision-making and scalability.

Acclarity automated their ETL process, implemented BI dashboards, and deployed robotic process automation to streamline data workflows—which cut over 100 hours of manual work per week and provided leadership with real-time, actionable insights to support short- and long-term growth.

KEY TAKEAWAYS

60 x

Automated ETL and Data Extraction process, increasing efficency by over 60 times

120

Manual processes previously took client 120 hours per week

2

Reduced time spent on processes to just 2 hours per week, using automation with minimal human suveillance

Acclarity automates and streamlines complex data environments, giving companies the real-time insights they need to grow confidently. Our tailored solutions replace manual work with powerful tools that improve decision-making and free up teams to focus on what matters most.

THE CHALLENGE

A manufacturing company struggled to efficiently manage and process data for business intelligence and reporting due to a lack of scalable systems and automated processes. Manual data extraction was time-consuming and error-prone, causing delays and inefficiencies. As the business grew, the need for real-time insights into operations, performance, and financials became critical. Without automation, they faced reporting delays, operational inefficiencies, and compliance risks—making streamlined ETL and data integration essential for improved decision-making and productivity.

ACCLARITY APPROACH

Acclarity implemented a comprehensive data strategy to streamline the client’s data processes using industry-leading tools. Alteryx was used to automate data extraction, transformation, and loading (ETL) for accuracy and consistency, while Azure Blob Storage and PostgreSQL provided secure, scalable cloud-based storage. Tableau was deployed for interactive dashboards and real-time reporting, tailored to analyze key operational and financial data. Logic Apps and Python queries in Databricks automated data extraction from ERP systems, eliminating manual downloads and improving data processing efficiency.

RESULTS THAT RESONATE

Without Acclarity’s support, the client would have continued spending hundreds of hours weekly on manual data processing, leading to inefficiencies and missed opportunities. By automating data extraction, transformation, and reporting, Acclarity saved them time, reduced stress, and provided clearer, more timely insights into their operations. This transformation enabled the client to allocate resources more effectively and focus on providing high-quality precision field machining services.

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