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HubSpot Operations Hub campaign
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HubSpot Operations Hub - Data Quality Automation
The importance of data is becoming increasingly apparent, especially when it comes to combining and refining data from different systems. This places demands not only on the data itself but also on the systems used. It is increasingly important for companies and organizations to ensure that the data they have at their disposal is of high quality. Data accuracy and completeness are two fundamental factors in achieving high data quality.
- The correctness of the data means that the values of the attributes should be correct, but also that the attributes should be understandable to the users of the data.
- Data completeness means that the data must contain all the necessary concepts and attributes required by the business.
The importance of data is becoming increasingly apparent, especially when it comes to combining and refining data from different systems. This places demands not only on the data itself but also on the systems used. It is increasingly important for companies and organizations to ensure that the data they have at their disposal is of high quality. Data accuracy and completeness are two fundamental factors in achieving high data quality.
- The correctness of the data means that the values of the attributes should be correct, but also that the attributes should be understandable to the users of the data.
- Data completeness means that the data must contain all the necessary concepts and attributes required by the business.
How do we work with implementations?
Discovery
Planning
Implementation
Off-boarding
As we help our customers migrate data from one platform to another, we have noticed a few recurring challenges. One is that duplicate contacts are common, and the other is that different formatting of a specific data point, such as a phone number, is common.
In one system, phone numbers can be registered according to the international standard with + 46 at the beginning and in another system without. When you merge phone numbers in the same system, in this case to Hubspot, it is important to ensure that the phone number is correct, i.e. follows the same.
In Hubspot, the unique identifier is by default email address, which means that if the email address attribute is not filled in, a duplicate of the contact is created. The fact that the data is not complete thus affects your data quality.
If you have HubSpot Operations Hub, you now have the ability to automate your data quality work. Data quality automation is a new functionality that allows you to work with customized flows that format values in different ways: capitalization, date correction, phone number update to name a few examples.
If you want help with clearing duplicates or getting started with Data Quality Automation, get in touch with us!
