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Smarten Announces Sentiment Analysis Capability Designed for Business Users!

Smarten

Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography.

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Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

Skullcandy: Listening to the market. Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Real Time and Cached Cube Management.

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. In the other two, I'll ask for your help in how you might connect the inspiration to your work as a Marketer/Analyst. Thank goodness for predictive models.

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What Is Embedded Analytics?

Jet Global

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?