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Fundamentals of Data Mining

Data Science 101

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

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8 Ways Successful Online Business Leverage Big Data

Smart Data Collective

Data analytics has made it easier to identify the best audience for your online business. Tools like Quantcast use complex data analytics capabilities that to help companies get a better understanding of their target demographics. You can also use your own data analytics dashboards to see what customers are telling you.

Big Data 104
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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

A majority of YouTube consumption is on mobile, yet if there is an advertising or content strategy inside a company for YouTube it rarely accommodates for this reality. Mobile content consumption, behavior along key metrics (time, bounces etc.) If you have ecommerce you will see key metrics related to money making. Many reasons.

Metrics 141
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Smart Businesses Must Invest in Data Analytics for Higher Conversions

Smart Data Collective

You can procure data from analytics tools to optimize your landing pages to maximize conversions. You can use data analytics dashboards on your digital advertising platforms to focus on the best converting traffic, such as the PPC keywords that drive the most sales. Use Data Mining to Find the Best Strategies for Local SEO.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263
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What Is The Difference Between Business Intelligence And Analytics?

datapine

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. Tracking this metric in time can help you spot any issues related to cash conversion and find smart solutions to fix them.

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How To Make Stunning Dashboards & Take Your Decision Making To The Next Level

datapine

And if you’re looking to make a dashboard to outline return on marketing investment (ROMI), your visualizations, design, and metrics would be very different from those featured in a marketing channel engagement report. Looking at total digital advertising spent and the revenue. e) How are they currently viewing these KPIs?