System integration in e-commerce: How can it change business?
The system(s) integration in an online store, is the process of connecting different systems and platforms in order to enable efficient automated interaction, optimize operations, processes and improve users' shopping experience.
InfoSec Best Practices
Information security - InfoSec - covers all business-related tools and processes to protect data and information, from network and infrastructure security to testing and auditing.
Data breach: The importance of data security
With the increase in cyber attacks on businesses regardless of their size or business area, it is critical to ensure that appropriate and up-to-date security measures are in place for the protection of personal and confidential data.
Ransomware: How to avoid attacks on businesses
Ransomware attacks are a constantly evolving threat, causing significant damage and expense to different businesses.
Phishing: What is it and how to prevent it?
Phishing attacks can be particularly dangerous if no action is taken and not handled properly, and can cause significant losses to an employee and/or the entire business.
How to avoid data leakage in business?
The leakage of data and information from companies can result from a failure or a set of failures that happen individually or in isolation due to the lack of an information security policy, human failures such as accidents or reckless behavior, vulnerability of systems or lack of backups.
Cloud Computing: Business scalability
Naturally, different businesses will not have the same kind of IT needs, which makes cloud storage an effective solution when it comes to business scalability.
Benefits of DevOps culture for business
The biggest and most impactful benefit of the DevOps culture is the frequent improvement and high quality of software development. This means not only better performance for the business, but also for their teams.
Big Data: The value of data in business
Nowadays, huge amounts of data are generated all the time, which makes a clear and efficient traditional analysis difficult. Therefore, data analysis is performed by predictive models, statistical algorithms, and high-performance analytical systems that have the ability to collect, store, process, analyze and discover patterns in the collected data.