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Why Your Small Business Should Care About Clean Data

Salesforce Marketing Cloud

” Clean data — or data and records that are free of inaccuracies, duplications, and blanks — helps your small business run faster, smoother, and more efficiently. Are there lots of duplicates or contacts with old addresses you know aren’t valid anymore? Do you have a lot of duplicates?

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Leveraging Integration Projects: How to Keep Your CRM Data Clean

SmartBug Media

This could mean removing incomplete data, data that is not formatted correctly, or data that is duplicated. Remove Duplicate Information. When compiling a lot of information or maintaining a large CRM, it’s common to run into duplication issues. Validate Your Data Regularly. Remove Unwanted Information.

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Visible and invisible tech stacks, and the upsides and downsides of “shadow IT” in martech and beyond

chiefmartech

She and I wrote a joint article for Harvard Business Review in 2014 explaining the dynamics driving that shift. I think we can safely say her predictive insight has been thoroughly validated. The three main reasons: It may be wasted spend, duplicative of existing IT-approved licenses. Who is… The Shadow?

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5 Common Demand Generation Plan Problems to Avoid

Only B2B

Imagine the number of hours that are wasted in just trying to manually standardize, validate, de-duplicate and upload the bad leads. The best organizations adopt software solutions that automate the review of lead quality and route new leads to the right sales representative or nurture tracks.

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Machine Learning Problems: The Easy Parts

Contify

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. just rephrased. Entity Identification. Named Entities.

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Machine Learning Problems: The Easy Parts

Contify

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. just rephrased. Entity Identification. Named Entities.

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10 Steps to Blend STAT Ranking Data with Site Performance Metrics

Moz

Why validate SEO best practices with data? We can elevate our SEO game individually and collectively by testing and validating best practices with research. Failing to validate best practices is a liability for SEO practitioners and shows an unwillingness to challenge assumptions. I’ll share how I did it below.