Discover how our fully-managed service streamlines data processes, addresses challenges, and enables institutions to effortlessly extract optimal value from their data.

Transforming data management through simplicity, reduced costs, and supercharged performance.

The infrastructure, management, and consumption of market data is the lifeblood of financial services. It can also foster high technical debt, mounting costs, and an array of data quality issues. Successfully managing these areas to gain access to clean data is fundamental to BAU processes, testing new strategies, minimizing time-to-market and remaining agile and knowledgeable in fluctuating market conditions.

Ingesting, cleaning, and processing data to ensure accuracy and completeness is labor-intensive and requires an army of personnel and technical processes. INQDATA empowers institutions to extract maximum value from their data without typical high-touch, repetitive and non-core work. We eliminate complexities and overheads tied to data acquisition, quality, infrastructure, maintenance and support, allowing you to pursue value-add ideas through our fully-managed service.

Your data, made easy.

Data Ingestion: Consolidates  users data feeds into a highly performant environment, managing historic and real-time feeds directly from external vendors and internal API’s.

Data Hydration Layer: Leverage INQDATA’s data quality, expectation and tagging framework to configure your own rules at a per-security, per-user level. Define and visualize your data quality landscape, receiving real-time updates and notifications through our UI.

Storage: Engineered for high performance and availability, the platform is hydrated with intelligently curated data, data cataloguing and symbology mapping ensuring smart data insights can be presented to users.

Intelligent Distribution: Ability to handle concurrent workloads and connections. Individual classification and tagging can be planned by users allowing data points to be seamlessly included and excluded where required. Data is able to be consumed in familiar tooling at the user’s request.

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