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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.

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Black Hat SEO: 19 Short-Sighted SEO Tactics that Will Kill Your Rankings

seo.co

Duplicate content. + Black hat tactics waste time and money while putting your entire site at risk of being de-indexed and/or blacklisted entirely. Worst case scenario, your entire domain name could get de-indexed or even blacklisted from Google and other search engines. . + 9 black hat content marketing tactics to avoid. +

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

Biznology

How do I match and de-duplicate customer records effectively? How should I handle unstructured data, like social media content. User-generated social media content may offer valuable insights into customer needs and issues. This can be an expensive, but very helpful, tool.

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

chiefmartech

Mobile apps are the most common examples here: social media, learning, personal productivity, creative tools, etc. (3) The three main reasons: It may be wasted spend, duplicative of existing IT-approved licenses. One step is to de-couple technical approval and financial approval for apps used by individuals and teams.

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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.

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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.