Tool_Selection
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For anything beyond a basic inventory and data specification you will need software tools. These are available in various forms, including desktop packages that you can run in-house and cloud-based packages. In-house analysts may be able to build reasonable ad-hoc tools. Choosing a tool early will allow time for any necessary procurement and staff training. Find candidate tools by web searches, by asking colleagues for recommendations. "Data Profiling"; "Data Cleansing" and "Data Quality" are common keywords used to describe the tools you are looking for.
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Tool nameOne-time costYearly costTraining time/costCompatibility with existing systemsCan profile (y/n)Can validate business rules (y/n)Can dedupe (y/n)Can do intra-table dependency analysis (y/n)Can do cross-table redundancy analysis (y/n)Can standardize column entries (y/n)Can parse name, addresses, etc. (y/n)Can validate and verify, e.g., addresses, and augment, e.g., with zip+four (y/n)Can match & link, e.g., into household units (y/n)Can perform advanced statistical tests (regression, Chi-square, etc.) (y/n)Can merge records (y/n)Can restore original records after merge (y/n)Notes
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Contact the author at sfsinger@campaignscientific.com, @sfsinger, 267-414-3119. Guide available for download at bit.ly/DQGuide. Submit feedback at bit.ly/SingleStepsFeedback
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Tool Selection