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Intelligent Document Processing Case Study
Marketing Automation Customer Detail Industry - Chemical Location - India Problem Statement The marketing team was using manual methods to extract the keywords from the internet to analyze the trends, market needs, & insights about their business. Challenges 1) Large amount of data. 2) The keyword variety was very huge.
Technology MySQL NLP
Solution Marketing domain expertise was understood along with their current method ● Data engineering, data cleaning, and unused data removal ● Identifying the exact keywords which needs to be extracted ● Designing of Deep Learning model to extract keywords using text summarization ● Creation of dashboard to show the exact extracted keywords ● Business Impact The keyword scraping solution helped the client to successfully analyze the trends, market needs, & insights to grow their business.
Our Methodology 3 2 Deployment Once complete solutions is ready then we deploy at your core system. Designing Solutions Our team of experts, starts building solutions to deliver your business goals. 1 Understanding Requirements We understand your business goals, and get acquainted with all the necessary details.
Chirag Tank Co-Founder & CEO +91 7021980537 chirag.tank@datenwissen.com Thank You Jitendra Purohit Co-Founder & COO +91 9820080751 jitendra.purohit@datenwissen.com Website: datenwissen.com