Our client, Drimco is a Munich-based enterprise known for its innovative AI-SaaS product to understand client requirements. They focus on optimizing business processes powered by AI and NLP technologies. The company wanted us to build a NLP-based solution to perform data extraction from large chunk of data. Our core team includes experienced researchers, consultants, and developers on a mission to revolutionize data mining processes.
Technology
AI/IoT/Emerging Tech , Process Transformation
We created a scalable data extraction solution that could collect, and manage information effectively. We performed parallel processing of data to maximize data processing throughput. The NLP solution was able to quickly assign scores and rank the information according to the priority. Data cleanup feature was added to remove unrelated information from the raw data.
Our team identified the objectives of Drimco data extraction project. Documented the specific types of information to extract requirements or constraints associated with the data.
Selected NLP tools and libraries based on the programming language and environment. Major ones included are Natural Language Toolkit, spaCy, and Stanford NLP.
Gather the unstructured text data to extract relevant information. Process the data by cleaning it, eliminating irrelevant information, and converting it into a format perfect for NLP analysis.
Implement monitoring mechanisms to track the performance of your NLP solution over time. Regularly update the model and extraction logic to adapt to changes in the data or user requirements.
The client’s real challenge was to manage a lot of information from different resources including documents, social media posts, messages, chat’s conversation, and website info. They were facing difficulty to get proper insights from these large chunks of data that can support business activities. They need a robust, adaptable and secure data extraction solution. They wanted to make their search richer, faster, better and easy. They partnered with OrangeMantra for implementing a next-gen data extraction solution. NLP applications is the perfect savior that can help in document management and making smart business decision.
Relying on manual data entry increases the number of errors. These errors bring multiple consequences, leading to inaccurate reports, decision discrepancies, and misguided decision-making.
Managing data manually is time-consuming and inefficient. Resources spend crucial time on repetitive tasks that could be better utilized to build strategies and value-added activities.
With NLP solution, the client was able to better organize the data flow, automate the tasks, scale up data gathering, data processing operation and make better decision on the gathered data. Automate gathering of actionable intelligence. Optimize operational efficiency of the data processing. Generate more leads from the processed information.
Automated systems helped client to minimize the risk of errors associated with manual data handling. This ended into accurate and reliable data, reducing costly mistakes in decision-making processes.
With NLP, Drimco was able to save significant amounts of time on crucial reports. This time-saving ended into faster decision-making, quicker response to market changes, and enhanced overall operational efficiency.
Data Automation was integrated with built-in validation and cleansing mechanisms, ending into consistent and high-quality data. This contributes to refined data integrity and reliability across the organization.
