Toptal data management enhancements lead to 98% forecasting accuracy for global cosmetics leader.
A top skin care company faced challenges in data management. Toptal integrated source data and automated processes to improve efficiency and forecasting accuracy.
Client
A Germany-based consumer goods company known for skincare and personal care brands sold worldwide.
Employees
Industry
Consumer ProductsDelivered Services
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The company struggled with managing data from various sources in different formats. Manual reporting processes were time-consuming and affected data accuracy.
Solution
Streamlined Data Management
Toptal implemented extract, transform, and load (ETL) pipelines to automate data cleaning and transformation, creating a master database for storing current and historical data.
AI-driven Reporting
Toptal connected ETL pipelines to Power BI for optimized reporting and developed an AI-based forecasting module.
Outcome
Improved Data Efficiency
ETL pipelines automated data cleaning processes, reducing processing time and increasing both efficiency and accuracy. Power BI enabled quick market analysis.
98% Accurate Forecasting
Advanced AI-based forecasting provided 98% accuracy using historical data, empowering timely and informed decision-making.
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