The client needed to streamline and automate the data preparation service line, which was previously hindered by unscientific, manual processes. The lack of existing workflows, SoPs, and quality measurements led to inefficient and inconsistent results. Therefore to stay competitive in the market and meet the increasing demand the client required a process re-engineering.
Software Development
United States
The client encountered major issues in their Brand Health Tracking Study due to a slow data extraction and manual reporting process.
Managing 127 metrics, 24 subgroups, 35 competitor brands, and 14 countries made the process cumbersome and error-prone.
This method was unsustainable and hampered the client’s ability to ensure accurate and efficient reporting and analysis.
Datamatics thoroughly assessed the project's scale, various data sources, intricate reporting system, and specific requirements, recognizing the necessity for a research-driven strategy paired with technological intervention.
Working in close collaboration with the client, Datamatics developed and implemented a Python-based tool tailored to automate the report generation process.
This tool was specifically customized to address the client's unique data needs, streamlining the entire process, enhancing accuracy, and significantly improving efficiency in handling the complex metrics and diverse datasets involved.
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