Articles
Channel: Analytics
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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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9 Things Holding Back Your Data Analytics Strategy
Is your company struggling to to take advantage of it's analytics? It's likely one or more of these items are holding you back.
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Talent Analytics: What It Is And Why It Matters
With the labor market is tightening and talent shortages increasing the time is now to understand and implement a data-driven workforce strategy.
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