MerlinMerge® SpeedPro Features and Benefits- Merge/Purge Capabilities: Merging data refers to the process of integrating data from multiple sources. When combining the data
from two or more separate lists into a single one, it is often the case that certain records from the list repeat. The process of removing the repeated records is referred to as purging the records. The main challenge in this task is identifying when a pair of records refers to the same entity in spite of various data inconsistencies. MerlinMerge SpeedPro is specifically designed to provide a solution to this issue.
- Deduplication (Deduping): The process of identifying and removing duplicate records is called deduplication or deduping. Deduplication is
a key operation when dealing with large volumes of data and
especially when integrating data from multiple sources.
- Minimizing Expenses: Over 40% of most organizations’ mail is duplicated. The costs associated with incorrect or duplicate data are not limited to mailings. There are internal costs resulting from having
to add additional hardware and administrative resources. There are costs associated with the extra time required to do database housekeeping and reporting. And of course, there are costs incurred when, due to duplication, data is lost, incomplete, inaccurate, or
spread needlessly across multiple records. MerlinMerge® SpeedPro was designed to overcome all of these problems and help you to
lower or eliminate costs related to incorrect or duplicate data.
- Data Quality: The problem of poor data quality processed by an information system is widespread in the industrial, government and academic environments. Poor data quality has a negative impact on
the competitiveness of an organization and can cause many other problems especially when working on bigger projects. MerlinMerge® SpeedPro software reduces the cost of doing business by improving the accuracy and usability of your data.
- Household Determination: A Variation of deduplication is called household determination. Household determination involves combining records for different individuals living at the same address into a single entry. For example, records for John Smith, Jane Smith and Junior Smith containing the same address information become a single record for “The Smith Household”. The same can be done with people working in the same company.
- Sanitization: This is a process that ‘cleans up’ entry information.
It overcomes noise words and extraneous information, and reverts lowercase letters into uppercase. Examples of noise characters are:
@, #, $, %, ^, &, *, (,),}, {, [,]. Commas usually indicate the insertion of a last name, so the sanitization process places words that are followed by a comma at the end of the string. Quotes are deleted and the space between them is removed, and a space replaces any hyphens.
- Eliminating duplicate pieces of mail going to one target
- Saving money on postage, printing and preparation costs
- Avoiding upsetting customers who receive multiple copies
of the same materials - Identifying abusers of limited-edition offers
- Improving mail deliverability
- Analyzing and evaluating list sources
- Bringing lists and files into a common data format
- Identifying likely prospects
- Preserving data integrity
- Maintaining high standards of data quality
- Correcting, restructuring and enhancing data
- Making data more effective, accessible and accurate
- Reducing job processing time
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