Meaning ● Data reduction, crucial for SMB growth, automation, and implementation, involves streamlining data to reduce storage needs and enhance analytical speed. ● This process is achieved through various methods like data compression, aggregation, and feature selection, directly addressing storage constraints faced by growing SMBs. Effective data reduction leads to significant cost savings and optimized data processing, enabling faster and more insightful business analytics. ● For SMBs, implementing these techniques is critical for leveraging data assets effectively, even with limited resources, allowing them to automate processes, improve decision-making, and drive targeted growth strategies. It allows smaller businesses to compete effectively by using data-driven insights that would otherwise be inaccessible due to high storage costs or slow processing times, supporting scalable and sustainable growth models.
