 Product Engineering Case Study
A leading Information Provider based out of London
A lead information provider based out of London had been providing critical data insights like the recent asset and corporate valuations, M&A deals, corporate financials, and operating data to the oil and gas industry for the past three decades. Documents had to be tagged and indexed in a way that facilitates their retrieval at both document and page level.
The timely data furnished by the company as subscribed services has aided major oil and gas players in making key market decisions and in monitoring their competitors. Documents had to be tagged and indexed in a way that facilitates their retrieval at both document and page level. TechMobius had to come up with a comprehensive, ML-infused solution for content search, document retrieval, and a solution to manage the backend content database.
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TechMobius developed a cloud web application to perform the following process,
Documents to be tagged were uploaded to the tightly secured Amazon S3 server directly by the client which is then registered with a unique ID.
The incoming documents to the virtual private cloud were distributed by an elastic load balancer accordingly thus taking advantage of its auto-scaling feature.
Provisions were made for users to tag the documents and suggested tags were pulled up from the ML-trained repository.
The documents were then split into pages to aid page-level retrieval and then pushed to the Elastic search repository.
Page indexing and content-based tagging within the page were achieved in Elasticsearch which made it possible for editors to lookup documents through keywords as well as phrase searches.
The document was then published in the custom portal developed by TechMobius which was well-fitted with user role-based access restrictions. The portal loaded with intuitive, UI-rich features that enable searchers to download, bookmark, subscribe, tag, and view the status of the registered documents.
Tech Mobius came up with a comprehensive, ML-infused solution involving the open-source, enterprise-level, full-text search engine–Elastic Search for content search, and Amazon S3 for documents.
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A lead information provider based out of London had been providing critical data insights like the recent asset and corporate valuations, M&A deals, corporate financials, and operating data to the oil and gas industry for the past three decades. Documents had to be tagged and indexed in a way that facilitates their retrieval at both document and page level.
The timely data furnished by the company as subscribed services has aided major oil and gas players in making key market decisions and in monitoring their competitors. Documents had to be tagged and indexed in a way that facilitates their retrieval at both document and page level. TechMobius had to come up with a comprehensive, ML-infused solution for content search, document retrieval and a solution to manage the backend content database.
Mobius developed a cloud web application to perform the following process
TechMobius came up with a comprehensive, ML-infused solution involving the open-source, enterprise-level, full-text search engine – Elastic Search for content search, Amazon S3 for document retrieval and MySQL to manage the backend content database. This increased operational efficiency and productivity and was compatible across all devices making its functionality seamless.
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