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Missing values: when some profile data is available and some isn’t, these entries can’t be used to inform ongoing analytics. This step by step guide will help you and your team identify the best way to deal with missing values, in order to ensure they do not adversely impact the insight generated through your ongoing analytics, whilst meaning as much data as possible can be used to inform decision making.

To learn more about enhancing data quality within your SAS environment, have a read of our recent blog "Are You Struggling to Maintain Data Quality?".

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About Amadeus Software

Amadeus is an independent analytics and data science consultancy and SAS Partner. Since its launch in 1989, Amadeus has been enabling businesses and organisations of all sizes and across all industries to optimise their use of analytics software and maximise their return on investment in data. We are recognised as industry experts and have a reputation for quality across our business services - SAS Software Reselling, Consultancy, Data Science, SAS Training, Managed Services and the Graduate Placement Programme.