Let’s say you have an SSIS data flow that receives customer information from a variety of sources and then integrates this data into your Microsoft Azure database, which contains your customer master data.
Trouble is, without cleaning and comparing all those different sets of customer data you’re processing, you will inadvertently end up polluting your master data.
By plugging a DataMatch Enterprise project into your dataflow, you can quickly and easily conduct a cogent profile analysis of data quality, apply a variety of pre-built data cleansing transformations, leverage 300,000+ standardization rules for name, address, and phone matching, and finally compare records to deduplicate, enrich, and create golden records.
Once that’s done, your data continues its journey to your final destination: your customer master database.
See More Data Cleansing Operations Here