Data Ladder offers two products for your data quality, deduplication,
matching, and data profiling needs.
See below for detailed feature comparisons.
| Features |
Data Cleaner |
DataMatch 2008 |
| Import/Export any kind of list including MS Access,
Excel, Text Files, and dBase files |
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| Save your work as a DataMatch project to be used again
in the future. |
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| Import multiple files. Combine, match records, and deduplicate
across multiple lists. |
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| View your data changes and cleaning in real time, instant
feedback on how your selections affect your data set. |
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| Manipulate your data with advanced filtering functions
like wildcards, and/or, or/not statements |
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| Data Quality checks that highlight potential data quality
issues like non-printeable characters, missing data, mixed
numbers and letters, etc |
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| Clean your data by applying proper casing (john smith
becomes John Smith), removing non printeables, and a variety
of other cleaning options |
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| WordSmith™ functionality identifies and counts
unique values in your lists and allows you to replace,
delete, or extract values into new fields. Excellent for
standardizing large data sets. |
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| Email cleaning. Advanced email cleaning finds email
errors and automatically suggests correction. |
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| Merge and delete duplicates. Merge the most complete
information across duplicates, overwrite data from a master
to other duplicates, and delete duplicates from your data
sets. |
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| View duplicates and matches in 3 different report views.
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| Fuzzy Matching: Set a match threshold (0-100%) and view
your matches/duplicates.Match on multiple fields/columns
and see the match percentage on each field/column. 4 times
faster than any other provider. |
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| Cross column matching: Match data across columns. Useful
when data entry errors put data in the wrong column. |
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| Advanced Name Deduplication. Includes over 10,000 common
names for standardization when matching. I.e. Danny becomes
DANIEL, Abby becomes ABIGAIL, etc. Note original data
is not changed. |
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| Advanced company deduplication. Identifies common company
words and replacements. Example Limited becomes Example,
Anycompany LLC becomes Anycompany. Original data is not
changed. |
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| Gender identification: Identifies the expected gender
of over 15,000 common names (90% of US population covered).
Very useful in marketing campaigns. |
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| Advanced Telphone number matching. Automatically cleans
telphone numbers to improve matching capability. Useful
when matching international numbers. |
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| Maximum number of columns |
50 |
255 |
| Maximum number of records |
500,000 |
4 Million |
| Nationality identification: Identify the expected nationality
of over 50,000 surnames. (85% of US population) Very useful
in marketing campaigns. |
Email Sales for more information. Must pass
AMA guidelines. |
