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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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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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Troubleshooting your B2B marketing data problems

Biznology

Business-to-business data continues to challenge marketers, who need to identify and communicate with customers and prospects, but who run into thorny issues every day. Problems range from duplicates, to key-entry errors, to missing data elements, and beyond. There are two ways to de-anonymize the website visit.

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The B2B Marketer’s Quick Start Guide: ABM Orchestration

Heinz Marketing

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. Combine all your data in Terminus to create segments, orchestrate multi-channel campaigns, and measure your entire go-to-market program.

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How Data Cleansing Helps Expiring Data and Poor Leads

Convince & Convert

Most importantly, you’ll notice that clean data generates actionable business intelligence, which can be used to further hone your marketing techniques , generate updated and reliable reports for Salesforce, and make your analytics that much more useful and workable. Clean data is the first step to segmentation.