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Monthly Archives: January 2013

What You Need to Know About Confirmed Opt-In (COI), Mistyped Email Addresses, and Typotraps

There has been a lot of talk recently about Spamhaus' listing of several well-known brand retailers in their Spamhaus Block List (SBL). These listings are part of Spamhaus efforts to encourage email marketers to use a Confirmed Opt-In (COI) permission strategy. We would like to share what we know about their position, reactions from the email marketing community, and how this informs our own efforts to support marketers with data-collection best practices.

 

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Don't use contaminated data for business intelligence

The majority of companies in today's business climate assume that if they are using big data to advise their daily decisions, they're ahead of the pack.

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How much are data quality trust issues costing you?

It can be difficult to quantify the exact ROI of marketing data quality, a recent article by Direct Marketing News points out.

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Companies find analytics insights depend on data quality

Tagged.com is a new social network that uses customer-provided information and analytics to identify which participants might make good "friends", gaming opponents or connections for others on the site.

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Email marketing needs to personalize content

Despite the proliferation of more advanced technologies, email marketing will continue to play an important role in the development of the private sector, as it enables retailers to reach customers virtually anywhere.

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Report: Global big data market to exceed $48 billion in 2018

Companies today have access to a wide range of innovative resources that give executives the ability to gather and analyze consumer information.

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Use the right data quality tools to make insight trustworthy

Companies may just end up digging through piles of structured customer information and unstructured social network comments without ever having that "Eureka" moment if they don't have the necessary data quality tools.

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Companies must manage information, data quality to avoid risks

Information risk management and data quality checks are important components of successful big data strategies.

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Using big data to enhance security

Big data initiatives hold a lot of promise in helping organizations improve customer services, develop targeted marketing campaigns and even improve internal performance.

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