Faramarz Abedini is a principal management consultant at SAS with 23+ years of experience in Data Management strategies and solutions that include master data management (MDM), data architecture, data governance, data profiling, data analysis, data quality, and other data management technologies. His experience has spanned industries such as financial services, healthcare, insurance, life sciences, entertainment, technology and retail.
Data quality issues don’t go away just because you have more data. Big data is sometimes considered exempt from the requirement to be integrated, cleansed and standardized. Unfortunately, chances are that the more data you have, the worse its quality will become.
Traditional data governance is all about establishing a boundary around a specific data domain. This translates to establishing authority to define key business terms within that domain; establishing business-driven decision making processes for changing the business terminology and the rules that apply to them; defining content standards (e.g., metadata and
