Articles
Channel: Analytics
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What Ever Happened to the Sexiest Job of the 21st Century?
LinkedIn is full of between gig data scientists. Has the sexiest job lost its allure?
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Why Executives Should Be Dirtying Their Hands With Data Manipulation
Senior executives are very interested in the data analytics process but not many can actually manipulate the data for these processes.
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Should Your Organization Be Auditing Their Algorithms?
Not all companies audit their algorithms to ensure fairness and accuracy, but a growing number of experts say they should.
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Help! I Don’t Have the Data I Need
Sometimes you don't have the data to answer a specific business question. Here are a few ways to work around the problem.
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Ex-Reddit CEO Declares Website Analytics 'Fake'
Ellen Pao, the former CEO of Reddit, claims that most platforms "fake" their website analytics data to seem more popular than they truly are.
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How Data Visualization Tools Are Making Self-Service Analytics Easier
Why visualization is critical in digital analytics.
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Enterprise SaaS Churn Rates: What's Acceptable?
What is enterprise SaaS churn, and at what stage should a brand be worried about its customer churn rate? We've asked the experts.
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Industry Specialist vs. Generalist: Questions to Ask When Hiring a Data Scientist
It may seem daunting when you start a search for a data scientist, but asking these questions can help you narrow down the field.
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What is Edge Analytics?
Edge analytics involves collecting and analyzing data at the sensor or device rather than waiting for the data to be sent back to a cloud or on-premise server.
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Google Analytics Data Retention: A New Feature for Keeping Data Safe
Google's new solution for controlling how long data is retained.
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How to Build a Successful Data Analytics Team
Common data roles explained.
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5 Communication Skills Every Data Scientist Needs
We catch up with data experts who suggest ways for data scientists to communicate with data citizens.
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Top 10 Things to Measure in Google Analytics in 2018
Digital marketing experts share their favorite Google Analytics tools and features that have been introduced or grown in importance in the past few years.
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What DataOps Is and How It Can Deliver Better, Cross-Functional Analytics
Looking for faster, more actionable analytics from your data? DataOps can help deliver.
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