The amount of data is increasing on a regular basis and so is the responsibility to ensure the quality of data remains intact. Data quality issues consist of inconsistency, incompleteness, invalidity, inaccuracy, duplicates, etc. These data quality issues can arise from different sources like erroneous data entry, corruption in transmission or storage, data consolidation issues from different sources with different standards or formats, etc. These types of issues can lead to incorrect data analysis, data mining and reporting, which ultimately impacts the business. I have heard that SQL Server 2012 has a brand new feature called Data Quality Service (DQS) which greatly helps to ensure the data integrity and quality by data profiling, matching, cleansing, correcting data and monitoring overall status of the processes. Let's explore this feature in this tip series:
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