Accurate recording, proper handling and standardization of breeding data are fundamental to scientific animal breeding programmes aimed at genetic improvement and sustainable livestock production. In cattle and buffalo breeding, dependable information on pedigree, reproduction, production, health and management traits is crucial for evaluating performance, estimating genetic parameters and making sound selection decisions. Poor-quality or non-standardized data can result in biased evaluations, lower selection efficiency and reduced genetic progress. This review outlines the key principles and practices involved in recording and managing breeding data, with particular emphasis on standardization of production records in cattle and buffaloes. It critically examines animal identification systems, types of breeding records, conventional and modern data collection methods, common challenges in data recording and recommended best practices. The major steps in data handling—data entry, validation, storage, analysis and reporting—are also described. The importance of standardizing milk production records for factors such as lactation length, milking frequency, age of the animal and fat percentage is discussed, along with widely used correction measures like 305-day lactation yield and 4 per cent fat-corrected milk (FCM). Recent advances in digital technologies, including electronic identification, Internet of Things (IoT), cloud-based databases and genomic data integration, are highlighted as future directions. Well-recorded and standardized breeding data improve the accuracy of genetic evaluation, hasten genetic gain and promote sustainable dairy production at farm, breed and national levels.