Data Ingestion

Organizations have been dealing with data collection for many years; our approach is to automate as much of the process as possible to reduce manual errors and improve efficiency. We automate everything from initial data collection to data cleansing, transformation, and loading into storage or analytics systems. We use data streaming tools and platforms for real-time analysis and decision making. We create agile environments based on microservices to ensure scalability, flexibility, and the ability to iterate quickly. We emphasize data quality control early in the data acquisition process to identify and resolve problems before they affect further analysis. In environments where the variety and structure of data changes rapidly, we use a "schema on read" approach, where the data schema is applied at the time of analysis rather than during data acquisition. This increases flexibility, allows faster data acquisition, and adapts to data changes without pre-processing.The C&F approach enables customers to create an agile, efficient data acquisition structure that supports rapid innovation, data-driven decision making, and scalable growth while maintaining high data quality.