How to Fix Poor Data Quality Using Data Enrichment

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How to Fix Poor Data Quality Using Data Enrichment

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Data has become the lifeblood malta phone number list
of B2B businesses, powering marketing, sales, and support. Data quality is at the heart of every choice company executives make to encourage their organization’s growth and productivity.

Organizations must do the following to obtain reliable insights from corporate data and, eventually, boost sales:

  • Have quick access to the information that is most important to them.
  • Be certain that the data they are working with is accurate and up to date.

This is why data enrichment and cleaning are so important in today’s data-driven sales environment. In this section, we will explain what data enrichment is and why it is crucial for your sales force and business success.

Accuracy

Is your information correct?

It needs to be. Otherwise, what are telemarketing services
you have no reason to believe in your segmentation or your outreach. And untrustworthy data creates a vicious circle. The fewer representatives trust the data, the less they will rely on it, and the less they will care about updating and maintaining it, making the data even less reliable and continuing the cycle.

To ensure that your information is valid, it is critical to design procedures for reviewing, inputting, and updating CRM data from the beginning. Data hygiene is dependent on organizational culture since data is never completely correct and is always deteriorating.

Do you have all of the information you need for each of your records?

Incomplete data is typical, particularly during the early phases of prospecting. However, continuously lacking essential data might be a huge issue, especially when analyzing your marketing and sales funnels.

You must decide what information is important to which functions and create procedures to obtain the information your team requires to accomplish their jobs efficiently.

Consistency

Is the data in europe email
your CRM system consistent?

For example, are all of your email addresses and phone numbers consistent? Is there a clear grading scale for consumers and opportunities presented? Is your information put in the correct fields?

When data is aggregated from numerous sources, data inconsistency becomes an issue. Data discrepancies can lead to erroneous and untrustworthy datasets. Data consistency ensures no mismatched data in fields, allowing your team to manage and utilize the information in your CRM efficiently.

Is your CRM cluttered with redundant information?

Finding the information that users want may be extremely difficult if you do not have processes in place to combine and eliminate duplicate data entries, or, better yet, to prevent them from being created in the first place. Worse, it can disrupt automation by synchronizing or combining information from incorrect records or sending out redundant communications.

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