Come clean in 2003 on our new Data Quality course!

Poor quality data seriously compromises the quality of management decision-making. It can also be bad for your company's image and reputation. Take marketing data for example - activities based on incorrect or duplicated data can mean customer dissatisfaction as well as wasted budgets. How many of us receive badly addressed and misspelt mailings, or receive the same mailing or call more than once?

According to the KRC Research study, 81% of respondents admitted that poor customer data impacts campaign profitability. The flip side is that high quality data means better decision-making, reduced costs, an improved reputation and more receptive customers - all of which can have a measurable impact on profits.

Clean data is one of SAS' core competences. We're therefore delighted to announce a new two-day course in Data Quality that will help you tackle this issue head on.

• The course is led by data cleaning expert Dr. Ron Cody
• Course content includes:
  • Setting data quality standards and policies
  • Practical techniques for error removal
  • De-duplication
  • Checks for missing data
  • Verification
• Detailed course notes and documentation includes Dr. Cody's book, Data Cleaning Techniques Using SAS Software

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