Having the proper analytics to further enhance your existing or new business is critical for pinpointing problems and achieving successes.

Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science, and Predictive Analytics for Beginners is targeted towards business owners or for anyone interested in wanting an in-depth learning experience with data analytics. Furthermore, for those who want to improve the sales and revenue for their business, but needs a guide regarding Data Analytics, then this book is perfect for you

This book delineates the types of data analytics best for business owners, how to analyze the business, and how to calculate the statistical data.

In addition, this book will thoroughly discus the following topics:

• Why your business should be using data analytics
• Issues with using big data
• Effective data management
• Examples of data management in the real-world
• The different kinds of data analytics and their definitions
• How data management, data mining, data integration and data warehousing work together
• A step-by-step guide for conducting data analysis for your business
• An organizational guide to data analytics
• Tools for data visualization (with links)
• Using social media analytics

I want to make sure this book will provide high value to you and give you new insights that you may have not known before. What makes this book different than other data analytic books is that it is a truly comprehensive guide to help your business prosper and find new ways of looking at your business model from a totally different perspective.

Although this book does not include all information regarding Data Analytics, it does contain useful information that will help you create statistical tables from which you can base your data analysis. I highly recommend this book to anyone looking to start a business or already has one and wants to further improve how they analyze theirs sales, expenses, logistics, and everything in between.

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