Data collection is the first and most critical step in the data science lifecycle. Without accurate and relevant data, even the best algorithms fail to deliver meaningful insights. Data collection involves gathering raw data from multiple sources such as business systems, IoT devices, social media, and open data platforms data collection strategies in data science. A strong data collection strategy ensures data consistency, completeness, and accuracy. It enables data scientists to analyze trends, build predictive models, and drive business intelligence solutions that support strategic decision-making.
