Typical use case

DataCleaner Desktop

After you start DataCleaner Desktop, you will see a welcome page. It can contain multiple wizards, select How can I effectively communicate with customers?.

Datastore selection

On the next page you will be asked to provide a datastore. See datastores for details.

Input mapping

After you provide input data file (datastore), its column names will be shown so that you can map those columns to their meanings. Address line and Postal code are required items.

Services settings

On the next page you can select which additional address services should be enabled. By default all of them are checked. You can also specify output directories where the final result files will be stored.

Suppression settings

On this page you can configure which records will be sent to final mailing service. You can for example decide that all potential problems with e-mail and phone values should be ignored as long as address data is fine. You can also specify to leave out the records that do not contain any value in particular column.

Records that have no errors or only acceptable errors go to a valid output file. Records that have non-acceptable errors go to a invalid output file. User can for example accept errors in persons names as long as the address is correct. Note that the valid output file includes the Name correction traffic lights, so user can still have a look on dubious/invalid names.

Output columns

This page provides you with all potential output columns that can be written to the final output files. Since there is a lot of them you can decide to leave intermediary and/or original columns out.

What to do with the job?

This is the final wizard page where you can decide what to do with the job that has already been created. You can execute it right away, take a look at the job itself or upload it to DataCleaner Monitor.

Job preview

When you decide to open the job, you will see something similar to this example. Here you can change any configuration you want and then execute the job.

Upload to DataCleaner Monitor

If you decide to upload the job to DataCleaner Monitor, an upload dialog will appear. Here you can edit pre-filled name of the job and specify incoming hot folder if desired. This path serves as an input directory where you can upload your data files to be automatically picked up and processed.

On the following screenshot you can see the jobs listing in DataCleaner Monitor. Customer communication job 20170612 090930 is the one that has been uploaded. Below the job name you can see schedule settings set to incoming hot folder.

When you from now on put a new data file to that directory, job execution starts and output files are produced (they are available in configured output directories).