Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life

Conclusion
By now, you have realized the importance of a secure system for storing
and managing data.  In order to manage your data effectively, your
organization might need to involve people skilled in analyzing and
interpreting the information that you are bringing.  However, with more
effective data management, it will be easier to analyze the data.  As
competition increases, predictive analytics will also gain more importance.
I have talked about several case studies with large organizations that are
using their data to expand and improve their operations.  This book’s
information will hopefully provide you with some new insight into the field
of predictive analytics.
Using big data analysis, which has been covered extensively in multiple
chapters of this book, you should be able to see how industries ranging
from gaming to agriculture will be able to increase their revenue, improve
and maintain customer satisfaction, and increase their final product yield.  I
also discussed the potential dangers and pitfalls of big data.  This included
the dangers of privacy intrusion and the possibility of failure in business
intelligence projects. 
These dangers are only a part of the equation, however, they have a major
role to play in the big data game.  If you want to get involved, then you’ll
need to pay close attention to these parts of the equation.  While big data is
certainly the future of business, if the dangers and pitfalls are not
considered now, then it might be too late to include them in later
considerations.
 
 
 
 

---