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Publisher's Summary

Get your business intelligence right and accelerate growth.
Leading companies must not only compete on faster ROI within the shortest time but also face stiff competition in this digital frontier age with no boundaries but continual evolution. Time is precious and marketing effort is worthless without information knowledge and precision execution.
Have you ever pause and wonder why your marketing effort is not as successful as expected? Data analytics could be your answer to turn sales around. Data analytics provides the only hope for fact-based and insightful-driven decisions can help companies manage their strategic, operating and financial performance. That's why it's no longer tenable to ignore data analytics. This book has been written with a beginner in mind.
If that sound good, you just need to download this book and get ready to dive into the basics of Data Analytics
What you will learn about in Data Analytics for Beginners:

You will be exposed to the big picture of business intelligence data analytics and its competitive advantages
You will learn what are the different types of data analytics
You will what is data mining in detail and how can it work for you
You will have a practical introduction on the four important steps in data analytics and explore the data analytics patterns
BONUS #1: Three Case Studies on how companies implemented BI and data analytics to spur new growth in their business.
BONUS #2: A new exciting frontier for data analytics
And much more...

©2017 Victor Finch (P)2017 Victor Finch
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Customer Reviews

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By Flor on 12-16-17

Highly recommended!!!

This is a definitive data analytics guide that suits novice learners. Though some may think data is a nuance, I beg to disagree. Just by improving predictions alone can make a huge differences in businesses and others.

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By J.F. on 12-16-17


Extracting data and analyuzing pattens is made easier with this competitive data analytics audiobook. It explains thoroughly all the fundamentals and has included necessary suggestions to make data analytics successful.

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