Garbage in, Garbage Out.
A data warehousing and business intelligence effort is only as good as the data that is put into it. The saying “Garbage In, Garbage Out” is all too true. A leading cause of data warehousing and business intelligence project failure is poor data quality.
In Chapter 8, you learned about Data Governance and Metadata Management. Data Governance needs to be in place to prioritize data quality efforts and to specify data quality rules.
This chapter will provide an efficient and effective workflow for obtaining the right source data ...