We understand your teams’ need to analyze and visualize data. To power your data systems, we deliver customized and automated solutions across domains and industries. Our solutions help companies collect, verify, validate, cleanse, and enrich entity reference data. In addition to this, our technology services make it possible to automate parts of the collection and maintenance of the reference datasets. Our expert team and automation-driven systems make it possible to deliver accurate data consistently.
Better coverage
Get insight-driven and customized data with over 600 data points per entity and qualitative metrics that matter to your needs.
Standardized output
Access and leverage standard datasets across industries and domains in both emerging and developed markets.
Flexible solutions
Capture authentic entity reference data with automated data acquisition, text extraction and management, and customizable API solutions.
Larger volume
Increase the scope and volume of received information, and manage it all with data extraction and workflow tools.
Expert support
Leverage corporate analytics efficiently with support from our seasoned industry experts on data collection, processing, and automation.
High fidelity
Receive highest-quality corporate information that adheres to client SLAs.
Our customized solutions come packaged with tools and automated systems to collect, manage, and maintain entity reference datasets from diverse sources that are both publicly available and licensed. Our expert team builds frameworks from such disparate data sources to uncover insights with deep analytics. We deliver the following datasets across domains and verticals:
The Challenge
The client focuses on providing business and intelligence data, and they wanted to have their database up-to-date with the data of Indian private companies to enable them to provide time series data. Each company filed data in their own data schema, which made the data unstructured; besides, there was a need to collect data from multiple sources to fulfill their end customer’s needs. Also, the customer receives ad hoc requests from their end users for updates. This requirement was compounded by a complex template for data processing, unskilled resources, and the unavailability of public data.
Results
Delivered reliable, standardized datasets consistently in a cost-effective way with automated financial reporting.
Sliced and diced information for ready consumption
Faster turnaround in delivering the latest financial data
Consistent quality for past six years in delivery