Introducing data management
As previously stated (Chapter 2, Unfolding Your Data Journey), when we create information for our organization using data from our transactional systems, we encounter a variety of issues such as poor data quality, missing data, varying definitions of elementary data fields, and so on. Although business intelligence (BI) is not the cause of this problem, its use makes it painfully clear.
One of the primary reasons we should address and work on data quality issues is to save money! According to Thomas Redman’s book Getting in Front on Data, poor data quality accounts for 50% of an average organization’s operational costs. He also claims that organizations can cut 80% of their operational costs by improving data quality.
Another reason is to improve process quality and thus service quality. Customers appreciate it when a process runs smoothly the first time, and we will have happy customers. Good data is required to keep processes running...
