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

Identifying Data Breaches: With the availability of data streams ever-
increasing, it creates another problem when it comes to fraudulent practices.
Although comprehensive yet subtle, the impacts of data breaches can
negatively affect accounting, payroll, retail, and other company systems.
Data hackers are becoming more sneaky and devious in their attacks on
data systems. Data analytics will allow a company to see a possible data
breach and prevent further data compromises which might completely
cripple the business. Tools for data analytics can help a company to develop
and implement data tests that will detect early signs of fraudulent activity.

---

Sometimes standard fraud testing is not possible for certain circumstances,
and tailored tests may be a necessity for detecting fraud in specific systems.
In the past, it was common for companies to wait to investigate possible
fraudulent activity and implement breach safeguards until the financial
impacts became too large to ignore. With the amount of data available today
this is no longer a wise – or necessary – method to prevent data breaches.
The speed at which data is dispersed throughout the world can mean a
breach could happen from one point to the next, crippling a company from
the inside out on a worldwide scale. Data analytics testing can prevent data
destruction by revealing certain characteristics or parameters that may
indicate fraud has entered the system. Regular testing can give companies
the insight they need to protect the data they are entrusted to keep secure.