Business Intelligence

Two manuscripts in one book:
Business Intelligence: An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing
Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine Learning
In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively.
In this book, you will be introduced to the concept of business intelligence. Business intelligence is closely connected to data, and so as part of our journey, we are going to see how modern companies are using big data, together with artificial intelligence, machine learning, and pattern recognition in order to build systems of data-driven decision making.
After we get a handle on what business intelligence is, we will learn how it ties together with the next computer revolution (happening right before our eyes). We will discuss the use of artificial intelligence, machine learning, and pattern recognition to retrieve insights from the large amounts of data that companies are routinely collecting, storing, and using.
We will also explore the roles that social media and internet marketing are playing in the growth of business intelligence, and how companies like Facebook are helping other companies act on data in powerful ways.
Some of the topics covered in part 1 of this book include:
An Introduction to BI, Big Data, AI, and More
An Overview of Business Intelligence
BI and AI
BI and Big Data
BI And Machine Learning
Data Science
Cybersecurity
BI and Data Mining
BI and Social Media
BI and Internet Marketing
And much much more!
Some of the topics covered in part 2 of this book include:
The basics of predictive analysis.
How to predict events that are going to happen in the future with big data and data mining.
How to predict events that are going to happen in the future with the help of data analysis and statistics.
A look at machine learning and how this process can help make predictions.
How to avoid prediction traps, avoid bias, and make the best decisions with this analysis.
Some of the top reasons to implement this kind of analysis in your business.
The steps you can take to create your own predictive analysis model.
And much, much more!

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