fix dirty data |  repair bad data |  fix corrupted data |  fix dirty data |  repair bad data |  fix dirty data |  repair bad data
data scrubbing data cleaning data cleansing data cleanup Call 503-684-4593

fix dirty data |  repair bad data |  fix corrupted data |  fix dirty data |  repair bad data |  fix dirty data |  repair bad data ... topics fix dirty data | 
fix dirty data | repair bad data | fix corrupted data
fix dirty data | repair bad data | fix corrupted data
data scrubbing | data cleaning | mailing list cleanup for optimum list
fix dirty data | repair bad data | fix corrupted data service
Data Cleaning - Data Scrubbing - Mailing List Cleaning

Fixing Dirty Data

Topics: 

fix dirty data |  repair bad data |  fix corrupted data |  fix dirty data |  repair bad data |  fix dirty data |  repair bad data |  fix dirty data

Errors are in databases can be the result of human error in entering the data, the merging of two databases, a lack of company wide or industry wide data coding standards, or due to old systems that contain inaccurate or outdated data. Northwest Database Services offers several data scrubbing services from full renovation and merge/purge to simple USPS CASS, ACS and NCOA certified coding. Data Scrubbing ensures that your data is accurate, consistent and correctly formatted. In other words, the process of data scrubbing (aka data cleaning or data cleansing) gets your data ready to go to work for you.
Find out more about how data scrubbing ensures accurate data.

A thorough data cleaning typically calls for any or all of the following data scrubbing operations (listed in their typical sequential order):

Topics: 

fix dirty data |  repair bad data |  fix dirty data |  fix corrupted data |  fix dirty data |  repair bad data |  fix dirty data |  repair bad data

  • File Transfer:

     The first order of business is to get a file (or files) to us here at Northwest Database Services so that we can analyze and report what we believe to be the state of your data. At that point we can give you an estimate of what a thorough data cleansing will cost.

    File exchange is easy. If small enough (equal to or less than 2 MB) then just email it; if the size of your file(s) is greater than 2 MB and smaller than 30 MB, we'll create a secure folder to which only you and Northwest Database Services will have access. Uploading your data is as easy as clicking a button and logging in. If your file(s) size exceeds 30 MB, we will set you up with your own FTP site and send you free, simple to use FTP transfer software (FileZilla) and walk you through the connection process if you're new to this.


  • Data Exchange:

     We can also help you import data from multiple disparate file and data formats into one common file or table, ready for data cleansing, reporting and analysis. Your file should be in one of the standard industry database/mailing list file formats so that other data contractors and personnel, such as your mailing house or IT department staff can work with it easily.

    Standard formatting facilitates data scrubbing processes, whether yours or ours. Data cleaning is a necessary procedure, so data exchange using the following formats will make your data cleaning far easier (= less cost). Common database file formats include: Microsoft Access (.MDB), dBase III, FoxPro and Alpha Five (.DBF). File formats such as Excel (.XLS) and fixed and delimited ASCII files (.TXT, .CSV, .ASC) are typically only used for data exchange.

    When it's time to send your newly scrubbed data, we would be happy to output your data in any file format and/or layout you require.


  • Normalization:

     Data normalization (alignment) picks up misplaced data, which belongs in one field, and moves it back to the correct field. When this operation has been run, all addresses are in the appropriate address fields, names in their proper columns, etc. Even though you may be printing out labels that look OK, sorting, querying, coding and reporting will be inaccurate and misleading if your data isn't consistently found where you and your database look for it.

    repair bad data with data scrubbing
    data cleaning fix bad data


  • Correction:

     It's sad, but true that often there are incorrect or missing entries in your data. Based on the availability of standardized data lexicons (databases to which your data can be matched and from which, when matched, your data can be corrected and/or updated), we can almost always improve the accuracy and completeness of your data. In many cases, such as the USPS National Address (used for CASS – Coding Accuracy and Support System), NCOA (National Change Of Address)/ACS (Address Change Service) databases we can determine if your data are out of date and update them if possible. In other cases special enhancement – adding or updating area codes; adding SIC codes, gender codes, US Census block and block group numbers, etc. – might be just what's needed to optimize you data's potential for performance, reporting and prediction.
    More about avoiding data errors on  Data Entry Tips page.


  • Data Standardization and format:

     Once your data have been aligned, we will standardize the way it's written in your file, based on industry standards or on your specific business rules. Standardized data yields faster data cleansing procedures, too. It's your choice. You decide.


  • De-duplication:

     Duplication of data plagues every database and mailing list. Duplication is inevitable, constantly keeps growing and significantly erodes the quality of your data. You can slow its progress, but it's virtually impossible to stop duplication of data completely. Find out how Data Deduplication can improve your database.

Contact us for more Data Scrubbing information

Topics: 

repair bad data |  fix dirty data | saves money  fix corrupted data | better business  fix dirty data | save time  repair bad data | quality mailing list  fix dirty data |  repair bad data |  fix dirty data |  repair bad data

Topics:  fix dirty data |  repair bad data |  fix corrupted data |  fix dirty data |  repair bad data |  fix dirty data |  repair bad data

fix dirty data | repair bad data | fix corrupted data
fix dirty data | repair bad data | fix corrupted data
fix dirty data | repair bad data | fix corrupted data