DataMetica Solutions - Deploying Actionable Insights for Data-driven Business Optimization
Possessing an unparalleled experience of 6+ years in Big Data production, DataMetica brings in proven implementation methodologies in Big Data space. The firm grant send-to-end services to an ever increasing clientele that includes more than 6 Fortune 500 companies across sectors like Retail, Insurance, Healthcare, Financial Services, Manufacturing etc. Besides, a strong team of Data Scientists with experience in Machine Learning, Data Discovery, Inventory Forecast and Trend Estimation, DataMetica has a robust Product Engineering Studio with the key products being eCat and DM-Analyze. Enterprise Catalog (eCat) is a highly configurable, comprehensive business suite with a made-to-measure offering that facilitates all activities related to Big Data Enterprise Metadata Management. It can model data via both forward and reverse engineering techniques to enable users realize their business use cases. DM-Analyze is the only Enterprise Class Cloud Self-Service Analytics platform with strong governance and oversight. It provides a “Data Marketplace” shopping experience to ad-hoc users in an intuitive user interface.
DataMetica products enable governance and efficiency through design excellence and deliver unparalleled organizational productivity. One of the largest stock exchanges in India, with more than 5500 listed companies, was driven by the need to conduct fraud analysis. Intended to establish an automated solution for Social Media Analytics, the client approached DataMetica that developed an automated social media monitoring solution. The solution aided towards of tagging suspected news articles, tweets and Facebook posts. Equipped with Near Real Time monitoring system and interfaced with dashboard, the application is adept at taking necessary actions to confirm rumors and raise alerts on objectionable content. The advanced statistics and machine learning based content identification model further enabled the client to monitor around 15 news sites at a time.
“Our significant experience in running large business transformational programs along with a suite of accelerators, developed through the lessons learnt in various implementations, enables us to deliver Big Data projects with 100 percent success rate at a faster time to market.” states Rajiv Gupta, Co-Founder & Director, DataMetica.
Big Data to Revive Business Processes
Right from Ideation of Data sourcing strategy to a complete data-driven, high end, self-service analytics scenario, DataMetica has a well-defined pragmatic line of attack.With 21+ successful Enterprise Data Hub (Modern Data Platform) Implementations, DataMetica has developed a time- test approach for accelerated development, leveraging reference architecture, coding standards, technology frameworks and several tools. The accelerators cover various aspects of building an Enterprise Data Hubsuch as foundational layer, Reference Architecture Patterns, Metadata Management, Dev-Ops, and Big Data Security.
DataMetica has vast experience in offering a wide array of Advanced Analytics like Customer 360, In-memory processing, Real Time Analytics, Sentiment Analytics, Claims and Fraud Analytics. In the Visualization space, DataMetica has built a number of Custom KPI dashboards to capture clickstream data from E-commerce channel, real time Sales and Inventory and many more. Attributed as the originator of the enterprise data hub/lake concept, DataMetica aims at becoming the Technology Partner of Choice and pledges to collaboratively transform Big Data technologies into business advantage. “We are constantly reinventing our growth by focusing on products and solutions which will serve as the future of analytics.” concludes Rajiv.
Big Data to Revive Business Processes
Right from Ideation of Data sourcing strategy to a complete data-driven, high end, self-service analytics scenario, DataMetica has a well-defined pragmatic line of attack.With 21+ successful Enterprise Data Hub (Modern Data Platform) Implementations, DataMetica has developed a time- test approach for accelerated development, leveraging reference architecture, coding standards, technology frameworks and several tools. The accelerators cover various aspects of building an Enterprise Data Hubsuch as foundational layer, Reference Architecture Patterns, Metadata Management, Dev-Ops, and Big Data Security.
DataMetica products enable governance and efficiency through design excellence and deliver unparalleled organizational productivity.
DataMetica has vast experience in offering a wide array of Advanced Analytics like Customer 360, In-memory processing, Real Time Analytics, Sentiment Analytics, Claims and Fraud Analytics. In the Visualization space, DataMetica has built a number of Custom KPI dashboards to capture clickstream data from E-commerce channel, real time Sales and Inventory and many more. Attributed as the originator of the enterprise data hub/lake concept, DataMetica aims at becoming the Technology Partner of Choice and pledges to collaboratively transform Big Data technologies into business advantage. “We are constantly reinventing our growth by focusing on products and solutions which will serve as the future of analytics.” concludes Rajiv.
