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Data Digest: Solving the ETL Crisis, Analytics Downfall, Data Quality and Marketing

Limitations of ETL and how to get around them, plus big data project failure due to miscommunication among employees and how bad data quality prevents good marketing automation.

Solving the ETL Crisis

The huge amount of data enterprises collect every day requires prep work to make said data useful -- it's called ETL.  The main problem for most enterprises is that they do not have a large enough capacity for ETL and struggle in preparing useful data. This article reviews the main problems in ETL and how to get around them.

Read More at Forbes

Miscommunication Among Employees the Downfall of Analytics Projects

Big data projects fail for a number of reasons that been written about at length. This article brings up one you might not have heard of: poor communication between employees. This article goes in-depth on how this has become a problem and how to fix it.

Read More at CIO New Zealand

Bad Data Quality Prevents Good Marketing Automation

One of the best uses of data is marketing. Every day, new algorithms are made to automate marketing, yet they are not being used to their full potential because the data getting inputted into these algorithms is generally poor quality. This article examines the causes of this problem and how to clean your data to solve it.

Read More at icrunchdatanews.com

About the Author

Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.


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