Analytics and Big Data

Our big data and analytics software lets you securely store, explore, and analyze all data types at unlimited scale.


We as a market research company with its expertise in data search and it’s processing, offers consolidated and systematic report based export/ import data that helps you in getting actual market intelligence for any product or HS Classification

Analytics for business insights in a data-driven world

Analytics, from descriptive to predictive, is key to customer retention and business growth. We offer the information management tools you need to leverage your most valuable business asset—your data—so you can find customer insight, protect your organization, and drive new revenue opportunities. We love to make complex things as simple as possible Having predictive capabilities should no longer require an expensive team of data scientists and resources. Our aim is to help businesses unlock the power of machine learning and improve decision making with greater ease.

Get clear insights in the added value of predictive analytics in your organization

A big-data lake is the single place of storage for all enterprise data in its native format. It can be used for a variety of purposes, such as data science-driven advanced analytics and machine learning. For steel companies, a big-data lake can store unrelated business data from various supply-chain nodes, including pits, yards, blast furnaces, casters and mills, in raw formats. Big data can be used to obtain insights in the following areas:

Market intelligence, composed of information on macroeconomics, monetary policies, tariffs, metal exchanges, commodity price fluctuations, competitor information and geopolitical situations.
Steel mill data, providing details of capacity and operations at various stages, such as iron and steelmaking, yard management, and transportation.
Business plan data, including production and shipment plans.
Partner ecosystem data, generated by external stakeholders such as customers, agencies, service centers, miners, freight forwarders and vessel operators. The partner ecosystem should provide access to data in a multi-enterprise business network (such as an ecosystem commerce platform) from external organizations with whom steel companies do business.