Explore our data solutions case studies to see how Understanding Data drives success for businesses and governments. Our tailored strategies demonstrate proven results in addressing complex challenges and delivering actionable insights. Data solutions case studies highlight our expertise and effectiveness in transforming data into strategic actions.
A major e-commerce platform used a costly third-party tool for user interaction measurement but wanted to switch to an internally developed tool due to significant costs and complexity. The goal was to make the internal tool user-friendly and cost-effective.
We identified key challenges with the internal tool, including data volume, granularity issues, and system complexity. Our goal was to simplify the tool for easier analysis and usability.
We focused on core components: customer behavior and related financials. Collaborating with internal stakeholders, we designed a modular architecture and built a proof of concept (PoC) for key modules to facilitate A/B testing analysis.
We refactored the existing system into modular, manageable components. By implementing best practices, we reduced analysis complexity significantly, allowing for streamlined and consistent A/B test analysis across teams.
The solution included incremental table models and visualizations in Looker Studio. This ensured long-term usability, quick iteration, and effective data governance, supporting ongoing improvement and scalability.
This project reduced analysis complexity by a factor of 10, enabling faster, more efficient analysis. It also created significant cost savings by eliminating the need for expensive third-party tools. By improving the internal tool’s usability, we empowered business users to derive richer insights, fostering a data-driven culture.
A global bank measured its gender pay gap (GPG) to address gender equity. While the bank performed annual equal pay analyses, it identified the need for a more robust tool to analyze and address the GPG. The existing tool was script-based and lacked flexibility, consistency, and software quality.
We identified necessary improvements, focusing on creating a direct database connection, validating and cleaning data, and enhancing statistical analysis to ensure accurate and actionable insights.
Collaborating with the bank’s HR Analytics team, we refactored the existing tool into modular components. We applied object-oriented design principles and integrated robust data handling and analysis features.
We reverse-engineered the original script, separating concerns and implementing best practices. This included logging, hypothesis testing, and comprehensive documentation, ensuring the new tool’s reliability and effectiveness.
The upgraded tool featured command-line argument parsing and Power BI visualizations, allowing for rapid research iterations and long-term usability. We ensured knowledge transfer and robust governance to support future needs.
This project significantly enhanced the bank’s ability to analyze and address gender pay differences, supporting its commitment to gender equity. The new tool reduced analysis time from weeks to minutes, allowing for quicker identification and remediation of pay gaps. By improving the tool’s flexibility and consistency, we contributed to the bank’s efforts to promote gender equality and transparency. This project aligns with our mission of “Data for a better future,” by advancing gender equity in the workplace, a critical aspect of societal progress.
The client, a leading semiconductor equipment manufacturer, needed to shift from uptime-based to productivity-based service contracts. This transition required an automated way to link scanner performance to availability, which was previously done manually.
We identified key data points and metrics to establish a baseline for the new service contracts, translating complex domain knowledge into actionable data insights.
Collaboratively, we developed modular and scalable data products, transforming raw event logs into relevant datasets to inform scanner performance improvements.
We extended our initial proof of concept to a minimum viable product, enabling root cause analysis and performance optimisation. This allowed senior leaders and engineering teams to efficiently identify and address productivity issues.
We ensured solutions were scalable and adaptable, providing knowledge transfer and robust governance to support long-term success and sustainability.
This project improved the way performance improvements are identified at customer sites, significantly reducing the time required from six weeks to less than a day. This efficiency gain frees up valuable time for highly skilled individuals and supports the new business model of productivity-based service contracts. The estimated additional revenue generated from this new contract type is 150 million euros over one year, demonstrating significant financial impact. Moreover, by optimizing scanner performance, we support the technological advancements that drive societal progress and innovation. This project aligns with our mission of “Data for a better future,” enhancing the efficiency and productivity of semiconductor manufacturing, which is crucial for technological advancement and societal progress.
One of our significant projects involved simplifying a user interaction tool for a leading e-commerce platform. Initially, the tool was complex and costly, hindering efficient analysis. We identified key challenges, including data volume and system complexity, and refactored the system into modular units. Consequently, this reduced complexity and enhanced usability, enabling streamlined A/B testing. Furthermore, the new tool facilitated significant cost savings by eliminating reliance on expensive third-party tools. This project highlights our capability to create user-friendly, efficient solutions.
A global bank sought our expertise to improve its gender pay gap analysis tool. Previously, the tool was script-based and lacked flexibility. We collaborated with the HR Analytics team to refactor the tool into modular components. By incorporating robust data handling and analysis features, we enhanced the tool’s accuracy and usability. As a result, the bank could analyze gender pay differences more efficiently, supporting their commitment to gender equity. This project underscores our commitment to promoting fairness and transparency.
A leading semiconductor equipment manufacturer required a shift from uptime-based to productivity-based service contracts. We developed automated solutions to link scanner performance to availability. By translating complex data into actionable insights, we improved performance identification and optimization. This project reduced analysis time significantly, enabling faster response to productivity issues and generating substantial additional revenue. Our work here demonstrates how data solutions can drive significant business value and operational efficiency.
In each case study, we employed advanced tools and methodologies to deliver optimal results. Our solutions included incremental table models, Looker Studio visualizations, and robust data governance practices. These tools ensured long-term usability, quick iteration, and effective data management.
Copyright ©Understanding Data 2024
Copyright ©Understanding Data 2024
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