Data Normalization

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The process of converting raw data received from multiple sources (e.g., different exchanges, liquidity providers and trading systems such as Front- middle-back- office to a single, standardized format and structure across technology solutions (message and interface types) as well as asset classes (microstructure and instrument dictionary). This allows trading (OMS or EMS) and trading analysis applications (like TCA or AI/ML) to process information reliably in real-time, regardless of its origin or asset class.