Optimize Data Analytics offers high-precision data entry for paper surveys in many different languages. Our capabilities include:

• Single or Multi-Punch
• Qualitative Verbatims
• Customer comment cards
• Alpha and numeric fields
• Multi-language
• Data entry from Images files or from paper
• Data entry for import into an existing database

Quality Assurance

Minimum accuracy level is 99.95%. Data entry verification is 100% (that is, all data is entered twice, by different data entry specialists). Data files are then examined with cleaning software, to identify any possible errors, and those indicated errors are hand checked against the original questionnaire or document.

Machine Scanning

Mail or other surveys can be set up for scanning, and this is less expensive than data entry by people, although accuracy is not as good. The human eye can catch mistakes and errors that the scanners miss. Still, for very large projects, scanning is a method to consider. Scanning accuracy can be improved by human eyes scanning the questionnaire before machine scanning.

Data Output

The entered data can be provided in the following formats:

• ASCII
• Excel
• SPSS
• SAS
• Access

Cross-Tabulation

Optimize Data Analytics Tabulation experts use sophisticated software and systems to produce powerful cross-tabs and summaries, including algebraic models for scoring and analysis. Significance testing can be applied to columns and rows of tabulated results, and complex weighting schemes can be applied to the data.

Open End Coding

If the survey contains open-end questions, Optimize Data Analytics can code in more than 30 different languages—followed by data entry.

Data Entry Experience

Optimize Data Analytics is a leading global marketing research and analytical consulting firm with over 3 decades of experience in data entry for a multitude of studies from the simple questionnaire to multi-country advanced analytical designs. Our experienced data entry specialists each have over 20 years of experience in data entry for marketing research. They have worked on many types of projects including; tracking/wave studies, diary studies, customer loyalty, multi-national, combining multiple databases, etc.