Industries from sales to healthcare rely on data to make business decisions and project key metrics. Tracking troves of customer, purchasing, and logistical data reveals trends that can boost revenue or uncover missed savings.
Storing and analyzing big data is essential for process audits. For example, a company’s ongoing shipping audits explained several issues, including patterns of overcharges and delayed deliveries. A customer experience audit can yield similar findings by noting bottlenecks in the customer journey. All of these processes require the input of large sets of readable data.
Businesses need a data normalization process to store and filter raw data into useful information that can inform these valuable processes.
What is Data N ...
