Data Cleaning
Data Cleaning
Data cleaning starts when you enter the first piece of information. The goal is to safeguard its accuracy while also augmenting the data so you can pinpoint marketing and boost sales. During the data’s lifespan, regular cleaning maintains this accuracy and prevents duplicates.
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Understanding Data Mining: Ethics, Tech, & Impacts on Growth
If you aren’t collecting, processing, and analyzing data in your business, you’re many steps behind the competition. While they’re sorting through large datasets and extracting meaningful insights that help their business solve pertinent problems, you’re likely struggling to move forward in any…
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Data Management & Enrichment with SugarCRM [FULL RECORDING]
Our SugarCRM experts talk about some helpful tools and tips for managing and enriching your CRM data.
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Tools to Help with Data Management in SugarCRM
In this section of our user group discussion, our experts offer suggestions for tools to help with SugarCRM data management and enrichment.
Cleaning Your Data
In this clip from our CRM Data Management Best Practices webinar, we address best practices when using your CRM to clean your data.
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Artificial Reservations
The GDPR is in effect, Salesforce earnings, CRM industry growth, data augmentation, CRM and AI, GDPR and ABM, un-gating content, conditional CTA visibility by country, the ultimate objective comparison between Salesforce and Microsoft Dynamics 365, image size and SEO, website conversion actions,…
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How Not to do Data Management: A Lesson from Facebook
What lessons can we learn from Facebook about data ownership? What should we consider when sharing data with outside parties? Here are three ways the Cambridge Analytica debacle showed us how NOT to do data management.
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CRM Database Cleaning
Apple news, being an airline passenger in the 1960’s, Sam’s CRM database cleaning effort, limiting the number of marketing automation system records.
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