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Leveraging Integration Projects: How to Keep Your CRM Data Clean

SmartBug Media

Quite simply, the goal of data cleaning is to remove data that is incorrect in an effort to prepare data for analysis or an integration. This could mean removing incomplete data, data that is not formatted correctly, or data that is duplicated. Remove Duplicate Information.

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7 Ways to Improve Your Lead Management Process

Zoominfo

Even the most seasoned marketers struggle to build the perfect lead management strategy for their business. then your entire strategy will come crashing down and you’ll miss out on potential customers. No matter how many times you’ve tweaked your strategy, there is always room for improvement. Fortunately, we’re here to help.

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27 RevOps best practices for driving revenue growth

Rev

These relationships will help you drive alignment and buy-in for your RevOps strategies. Continuously analyze data to track progress towards revenue goals and make adjustments as market conditions change or the company strategy shifts. Create processes for regularly collecting and analyzing customer feedback.

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7 Ways to Improve Your Lead Management Process

Zoominfo

Even the most seasoned marketers struggle to build the perfect lead management strategy for their business. then your entire lead gen strategy will come crashing down and you’ll miss out on potential customers. No matter how many times you’ve tweaked your strategy, there is always room for improvement. Create buyer personas.

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Did Somebody Ask About Data Quality?

DealSignal

Yet, at no point did I hear a discussion of data quality, data hygiene, contact verification, field standardization, or company and contact enrichment. Except for a short discussion on de-duplication of records, you would think that data was miraculously keyed into CRMs perfectly and wasn’t subject to decay.

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7 Common Types of Dirty Data and How to Clean Them

Zoominfo

How to remain within data privacy regulations: Disorderly databases are the most likely candidates to house insecure data. There are several data hygiene practices you can implement to combat insecure data. Inconsistent Data Inconsistent or non-standardized data looks different, but represents the same thing.

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The B2B Marketer’s Quick Start Guide: ABM Orchestration

Heinz Marketing

Some platforms are more robust whereas others help with a few key components and might rely on the integration of other systems to complete the strategy. Most companies have poor CRM data hygiene, and DemandBase has struggled to sync data back to accounts in cases with duplicate accounts or accounts with inaccurate/incomplete information.