Changepond - One-Stop-Solution
for Index Management Services!

By conducting the market research to assess feasibility and identify the optimal index structure to establish clear design principles, targeting specific objectives and incorporating relevant data sources and develop a comprehensive methodology document outlining index rules and rebalancing strategies.

By ensuring data integrity through robust cleansing and validation processes, fixing and validate data with our tool and automated alerts for outliers or deviations from expected values are displayed.

Assure Data framework guarantees superior data quality which helps for accurate Index calculations. Our data engineers seamlessly integrate with your existing infrastructure for efficient data management. The tool will validate Data such as Index constituents, including prices, market capitalizations, financial statements, and any other relevant data.

Expertise in designing the calculation methodology or calculation rule engine, Collaborate with Index Provider, understand their calculation methodology or their in-house calculation engine and help them in Index value Computation, Backtest the Index using historical data to evaluate performance, volatility, and correlation.

By Ensuring automation for every modules and help customers operational tasks in maintaining their DB Servers, Historical Data, deployment Operations from start, stop, status of modules, and restart in case of failure, our clients' operational procedure and help them automate their process.

Such as (Release Management, Production Support, Code Quality & code coverage, Migration, Piketting)

Data Quality Assurance (Assure Data) as a Framework can be used to ensure Data quality in Index Data, DQA can be used in data validation because it provides a framework for defining, documenting, and testing expectations of your data, ensuring its quality, integrity, and accuracy. It allows you to set rules for your data and validate it against those rules, making it an essential Framework in data quality management. Ensure data integrity and correctness of Index reference and calculated data. Evaluate Index data correctness during Index launches and Corporate Events. Ensure accurate reports are delivered to customers.