Today, enterprises are outsourcing their logistics business process services primarily to lower operating costs and transportation costs, which is not an atypical benefit sought after when outsourcing any business function. Beyond the main driver of cost savings, enterprises are challenged to manage customer expectations by improving product delivery and order visibility, managing risk and compliance, and continuously meeting SLA’s.
The proliferation of data types and quantities should be a major advantage for enterprise organizations. More data and more types of data should offer complex insights into challenges and opportunities in how the business runs and should lead to better decisions and business outcomes. However, ask any data analyst, and they’ll share this reality: data analysts spend a bulk of their time on search, data preparation, management, and governance activities, and not on data analytics where the true value lies.