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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4 out of 5 stars
By Mary A. Goodwin on 17-07-18

It is clearly interesting.

Big data analytics was extensively explained in this audio book. It’s clearly interesting how large amounts of data can be used to uncover hidden patterns and correlations.

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5 out of 5 stars
By Erica M. Mickelsen on 08-07-18

The content is highly useful!

Subject matter is adequately explored and has been presented completely without too much confusion. The content is highly useful for someone trying to grasp the scope and purpose of analytics.

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