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Monthly Archives: March 2013

Connecticut community colleges need good data quality to attract and retain students

Rachel Wheeler Archive
The Connecticut State Colleges and Universities' Board of Regents for Higher Education announced that it hired a renowned education consulting firm, called Maguire Associates, to harvest and analyze data about its student population so it can combat trends that are impacting student recruitment and retention.

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Do you trust your data? The quality of information speaks to big data's potential

Paul Newman Archive
At a recent conference about the analytics strategy, Dyche was approached by a woman and asked to explain all she knew about big data.

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Big success with data stems from simplicity and strategy

Paul Newman Archive
Decision makers are too often dazzled by the allure of big data that they implement plans that do not help them achieve their business goals.

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Unlocking the secrets of customer data

Richard Jones Archive
To ensure analytics efforts work, marketers need to verify that data quality is at its peak.

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Don't let perceptions derail data quality efforts

Paul Newman Archive
Some users might be blind to the fact that they're using poor data quality in their efforts because of their perceptions.

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Use strong data quality for better marketing conversion

Richard Jones Archive
Eager to capitalize on insights that can only be discovered through big data analytics, nearly 70 percent of marketers said they planned to spend more on data in 2013.

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Email deliverability metrics jump with better contact data quality

Rachel Wheeler Archive
To prevent envelopes and emails from bouncing back, companies should stick to best practices that uphold contact data quality.

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Improve data-driven efforts with address management

Rachel Wheeler Archive
Data-driven efforts can be impacted by poor data quality.

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Tips for cleaning up data quality

Paul Newman Archive
To ensure companies are using good information, they may need to check the accuracy of their data through email verification and other processes that eliminated outdated entries, according to the Nonprofit Quarterly.

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Look for data decay when archiving information

Rachel Wheeler Archive
Bad data quality can cause serious problems for users.

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