Everyone in today’s world is turning digital to stay up with society and technology. However, there have been incidents of data breaches at various businesses that have resulted in significant losses. Cyber security monitoring is now a major concern for every company,...
In today’s interconnected world, having information security awareness concerning breaches is a significant necessity for businesses and individuals alike. Safeguarding sensitive data is necessary for maintaining trust, protecting financial assets, and maintaining the...
The Sarbanes-Oxley Act (SOX), introduced in 2002 following corporate scandals like Enron and WorldCom, aims to improve corporate governance and enhance financial transparency. It enforces stringent regulations on financial reporting and internal controls to prevent...
The entire virtual world is a form of data that is continuously being processed. This processing is supplied to the user as part of a cycle known as the data processing cycle. The availability and processing of data are key to the growth of several sectors such as...
The shift to remote work has redefined business operations, introducing unique challenges to corporate governance, particularly in maintaining SOX compliance. Ensuring financial transparency and consistent internal controls in a decentralized work environment but...
What is Data Loss Prevention? Data Loss Prevention (DLP) is a critical aspect of cybersecurity that aims to protect sensitive data from unauthorized access, disclosure, or loss. In the context of digital banking, DLP solutions play a vital role in safeguarding...
What is Cyber Security? Cybersecurity is your defense system, protecting it from hackers and online threats. It's about safeguarding data from unauthorized access, theft, or destruction. Breaches can be disastrous, causing financial loss and reputational damage. From...
What is Predictive Data Analytics? Predictive data analytics is the real deal for businesses. It's not just about analyzing past data but also about using historical trends and insights to forecast future outcomes. Imagine predicting customer churn before they leave...
What is a Data Analytics Framework? A data analytics framework is a structured method for analyzing data, offering a roadmap to extract valuable insights. It provides a systematic process, incorporating best practices and recommendations for tools and techniques...
What is Big data analytics? Big data refers to a large complex set of structured, semi-structured, and unstructured data. Uncovering these large complex data sets using systematic processes and analysis is called Big data analytics. This process generally involves...