Tech mahindra
Tech mahindra

Market Data

Key Business Drivers for Reference and Market Data for Financial Services

  • Operational Risk Management - Inaccuracy or unavailability of quality data  are a cause of both financial and reputation risk
  • Cost Efficiency - Reduce costs by rationalizing data subscription, eliminating manual interventions and employing hosted platform solutions
  • Quality - Reduction of errors, incompleteness of data and improvement of data analytics and reporting
  • Regulatory Compliance - Accurate master data is one of the keys to ensuring regulatory compliance.
  • Latency - Availability of high quality data in a timely manner 

Tech Mahindra's End-to-End service offerings

  • TCO Audit - To address acquisition cost of data by reviewing data usage and rationalising duplication and redundancy
  • Data Quality Audit - To analyse, cleanse, improve and manage quality of reference and dynamic data
  • Data Governance Framework - To ensure TCO and Data Quality doesn't "drift" back to pre-audit days
  • Strategic Data Architecture - To develop a stronger enterprise data architecture environment to gain efficiency in costs, quality and timeliness
  • Managed Data Service (MDS) - To manage and operate the complete data environment from data acquisition,  through validation, cleansing and enrichment, to providing multiple "golden copies" for internal and external processing and reporting​

Tech Mahindra's Market and Reference Data solutions cover the following data sets

  • Security reference data, such as security master elements and identifiers
  • Prices and FX
  • Ratings (Issue as well as Issuer)
  • Corporate actions (Reference data – excludes entitlements processing)
  • Indices and benchmarks data
  • Issuer and counter-party data
  • Fundamental data like Company Fundamentals, Funds data, Research, Economic data
  • Real time market data feeds from data providers and exchanges
  • Other reference data such as countries, currencies, and exchanges.


Cost of ownership on Data Management

Cost of ownership on Data Management

Case Studies

For further information please write to

For further information please write to