FEATURE: DATA QUALITY MANAGEMENT
Key features of Syniti’ s Generative AI solution include:
• Intelligent decision-making for data standardization
• Optimizes data quality for seamless interaction withSyniti’ s existing MDM toolset and SAP systems
• Scalable, flexible, and handles large volumes of unstructured data with speed
• Extract specific data points from unstructured sources and readies them for structured data at extremely high accuracy
Implementation Process
Following a highly successful pilot test, the first wave consisted of processing the entire set of specification files – around 5,000in total – covering approximately 400 ingredients. Syniti’ s solution was able to process these files rapidly and accurately, significantly reducing the time and effort required compared to manual processing. Tasks that typically took months using conventional methods were completed in mere days with exceptional accuracy using Syniti’ s Generative AI solution.
Tori Pesek, Senior Manager Master Data, Boston Beer Company, said:“ Syniti has truly transformed our approach to data management. Historically, our approach would have been to assign people to review the documentation and ask them to record the specifications in an offline file. The accuracy and consistency of the extracted data were remarkable, and the seamless integration with our existing systems significantly improved our efficiency. We now focus on leveraging the information we have instead of struggling to capture it.”
Results
By delivering exceptional accuracy, efficiency, and seamless integration with existing systems, Syniti’ s Generative AI solution transformed a lengthy and costly project into a streamlined process completed within days. Integrated within Boston Beer’ s master data management and governance workflow, Syniti’ s Generative AI solution transforms unstructured data into structured data that is now able to be reviewed, approved or refined before being
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