Clean Data: How to Achieve this with Paribus 365™

If you are reading this article you likely appreciate that poor data quality in business systems can have negative consequences.  To avoid the financial costs and poor customer relations that can occur your goal is clear, you want Clean Data!

Clean Data Stages

There are going to have to be two separate phases to achieving this goal.

Phase 1:                               Data cleansing
Phase 2:                               Maintaining clean data

There are many ways in which data can be in a poor state and the impact it has on a business will vary from one to another.  For a business dispatching parcels the customer addresses must be correct but for a business dealing with customers purely electronically, their physical location is less important.  Every business must determine the data that is key to them.

Some general recommendations on gathering key data and how to maintain good quality data can be found in these related articles:  10 Top Tips for Good Quality Data and Data Entry Standards – Guidelines and Examples.   However, there is one cause of problems with data that is problematic to all businesses, that is duplicate data.  In this article the focus is on how the two main functions of Paribus 365™ can clean the data and keep the data clean.

The two main functions of the solution line up neatly with the two phases we have identified.  

Phase 1:  Data Cleansing 

Paribus 365™ has a deduplication component.  Within the product are some standard searches but the searches can be tailored to suit each business.  The searches use a matching algorithm named QMatch+ that will recognize potential duplication, including those that would be missed through a standard SQL query.  Potential duplicates where one of the records may have been misspelt, had abbreviations used or had short names entered will be flagged up in the output from the search.  Further details on the matching capabilities can be found here.

The list of potential duplicates can be reviewed and then action is taken to dedupe the system.   For Microsoft Dynamics 365, Infor CRM the software can resolve the duplicates by merging the records and realigning related records.  For other systems, an export of the results including the database key fields is available so that further action can be taken outside of Paribus Discovery.  Further details and a free trial are available here.

Phase 2: Maintaining clean data

Once the duplicates have been removed the goal will have shifted to maintaining a duplicate-free system.  Paribus 365™ facilitates data entry for Microsoft Dynamics 365.  At the point of entry, a check using the intelligence of the QMatch+ algorithm is run against all existing records and potential matches are made visible to the person seeking to add the record.  At this point, they can navigate to an existing record or push ahead with adding the new record. In this manner, the addition of duplicates is avoided.  As there is no blocking mechanism, duplicates could still be added but there would have to be a conscious decision taken to do so. Periodic re-runs of Paribus Discovery searches could be included in the ongoing maintenance program to maintain a duplicate free system.  Further details and a free trial are available here.

 Related Resources:

See the Paribus Help Center User Guidelines for important considerations of use.