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7 Ways to Improve Your Lead Management Process

Zoominfo

As a marketer, you can get lead management exactly right and still see terrible results if you don’t prioritize data hygiene. Here are a few tips to avoid dirty data throwing off your lead management process: Identify duplicate records: 15% of leads contain duplicated data ( source ).

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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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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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6 thorny data problems that Vex B2B marketers, and how to solve them

Biznology

Consider enabling the data input group with a real-time interface with a database services provider to prompt the standard company name and address. How do I match and de-duplicate customer records effectively? The post 6 thorny data problems that Vex B2B marketers, and how to solve them appeared first on Biznology.

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7 Ways to Improve Your Lead Management Process

Zoominfo

As a marketer, you can get lead management exactly right and still see terrible results if you don’t prioritize data hygiene. Here are a few tips to avoid dirty data throwing off your lead management process: Identify duplicate records: 15% of leads contain duplicated data ( source ).

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How Data Cleansing Helps Expiring Data and Poor Leads

Convince & Convert

Clean data is the first step to segmentation. The right solution allows you to match, cleanse, de-duplicate, and standardize all your data. For example, depending on how you input your data, the simple title “Chief Financial Officer” could exist in 20 different permutations. Avoid Duplicate Leads.

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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.