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Embedded Analytics Examples and Use Cases in 23 Different Industries

Reveal

Reveal Embedded Analytics. Businesses of all industries and all sizes incorporate embedded analytics technologies and capabilities into their own software, SaaS platforms, Angular apps , or other apps because of the tremendous benefits that they get. See Reveal in Action. CRM: Maximize customer lifetime value.

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Embedded Analytics Examples and Use Cases in 23 Different Industries

Reveal

Reveal Embedded Analytics. Businesses of all industries and all sizes incorporate embedded analytics technologies and capabilities into their own software, SaaS platforms, Angular apps , or other apps because of the tremendous benefits that they get. See Reveal in Action. CRM: Maximize customer lifetime value.

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How Warehouse Management Systems Help to Increase Efficiency by 25% and More

The Product Coalition

You should understand what goods you need to load the arriving transport. A warehouse management system combines software, specific devices (for example, data collection terminals with a scanner), and IoT sensors to track inventory information. Employees do not have to delay payments due to bug fixes.

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Benn Stancil, founder of Mode, on how data science can help us make better decisions

Intercom, Inc.

That stereotypical image of a room teeming with monitors and elaborate dashboards where all the decisions are made isn’t real, and it’s high time we move away from it. The fact of the matter is that data science, as a field, is still relatively new. Any insight from data analysis will only ever be as good as the data itself.

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Citrix Latency: Why it Matters and How to Improve it?

eG Innovations

Knowing where to start troubleshooting can mean the difference between end-users not noticing and a flood of support tickets on the service desk. In this guide I teamed up with eG Innovations to talk about what Citrix latency is, why it matters, and how we can improve it. What is Citrix Latency?

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Inside the Mind and Methodology of a Data Scientist

Birst BI

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. The simplest answer is that these terms refer to some of the many analytic methods available to Data Scientists.

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The 5 Most Lethal Mistakes in Product Development

BrainMates

Developing and launching a product only to have it fail is the complete antithesis of the “Fail Fast” innovation motto. You have just invested 1000s of work hours and millions of dollars in developing & launching this product. Most companies are in reality reviewing and failing several orders of magnitude less ideas than this.