Data Cleansing
Clean, standardise, and Reformat Any Data Type
In the era of big data, data analysts find themselves cleansing data – the time-consuming, mundane task of collecting, preparing, and cleaning disparate data. We offer the Melissa Cleanser transform for Pentaho® and Microsoft SQL Server® Integration Services (SSIS) to help automate and prepare data for the cleansing process. This empowers users to build custom data cleansing scripts for data suffering from a wide range of errors and inconsistencies. With this component, data analysts have the ability to standardise and validate inventory lists to better prep and cleanse data prior to analysis.
- Cleanse any type of data and achieve a higher standard of data quality for integration, warehousing, and analytics
- Gain greater control of your data when optimized, and save your business time and resources
- Customize and create rules (triggering) to standardise data
How Cleanser Works
Cleanser transform enables users to clean, standardise, and reformat any data type – from changing casing or capitalisation, adding or removing punctuation, expanding or contracting abbreviations, and searching and replacing any parts of a string. The tool applies different cleansing operations to your data integration and warehousing efforts. The transform has six main cleansing operations:
View Cleansing Options
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Punctuation
Add or remove punctuation -
Abbreviation
Expand or contract abbreviations, for example: CA to California -
Search & Replace
Replace portions of a string -
Expressions
Create programmatic expressions to make sense of data values -
Regex
Use regular expressions to extract, validate, etc.
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