Data collection, while crucial to the overall functionality and health of a business, does not automatically lead to success. If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Data without insight is useless, and the energy spent collecting it, is wasted.
Effective use of data collection for analytical and insight purposes requires forethought and strategy. If enterprises want to see more success, they need to address three of the most common data problems: data silos, poor data quality, and over-reliance on manual intervention.
