Reporting

Case Study
Straighterline

10

Employees

10

Employees

10

Employees

10

Employees

Technology used

Unify your business data with cutting-edge technology: our platform harnesses the power of advanced analytics, AI, and machine learning to seamlessly integrate and analyze your data, driving actionable insights and accelerating growth
AWS QuickSight
AWS QuickSight

Fast, cloud-powered business intelligence service for easy data visualization and analysis.

MySQL
MySQL

Open-source relational database system, fast, reliable, compatible with various languages and operating systems.

Python
Python

Versatile programming language, simple syntax, widely used for web development, data science, and automation.

The
Journey

01

The Problem

Straighterline faced inefficiencies with the Marketing Attribution report. The process of creating the Marketing Attribution report involved manual extraction of data from Google Analytics, processing it in Excel, and utilizing the Excel file as a source dataset for Amazon QuickSight. This approach not only consumed significant time but also restricted report updates to a monthly cycle. Whenever an update or recalculation was required, the entire process had to be repeated, causing further delays in accessing vital insights on marketing campaign effectiveness, customer behavior, revenue trends, and the types of customers being attracted (new or recurring). 

02

The Solution

To overcome these challenges, we implemented a comprehensive automation solution. By integrating Python into the workflow, we established a seamless connection between Google Analytics 4 and the SQL database. This integration enabled the direct transfer of data from Google Analytics 4 to the SQL table, eliminating the need for manual intervention. Additionally, we scheduled Python scripts to run automatically on a daily basis, ensuring consistent and timely report updates. As a result, the leadership team now has access to daily marketing attribution reports, providing real-time visibility into marketing campaign performance and revenue generation. This newfound agility empowers them to make timely decisions and adjust campaign strategies as needed, improving overall efficiency and effectiveness. 

03

The Outcome

  1. Automated Report Generation: The new system eliminated the manual downloading and transforming of data, streamlining the report generation process. 
  2. Increased Report Frequency: With the integration in place, the report now reflects daily updates instead of monthly, providing real-time insights into key metrics. 
  3. Workload Reduction and Simplified Report Management: The automated workflow significantly reduced the workload and simplified report management across the organization. 
  4. Time Savings: The new automated process achieved a conservative estimate of 86% time savings compared to the previous manual process. Previously, it took approximately 3 hours per month, totaling 36 hours annually. With automation, the maintenance now requires only 5 hours annually, resulting in considerable time savings. 
  5. Enhanced Operational Efficiency, Accuracy, and Data Security: By eliminating manual interventions, the automated workflow enhanced operational efficiency, ensured greater accuracy in data processing, and improved data security. 
  6. By successfully integrating ETL tools into the business intelligence reporting workflow, Straighterline experienced improved productivity, increased report frequency, and enhanced data management capabilities. The streamlined process not only saved time but also improved accuracy.

The
Results

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Straighterline Results

86% time savings compared to manual process.

Annual hours spent on Marketing Attribution Report

Excel Report: 36 hours/annually
QuickSight Automated Report: 5 hours/annually

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