ZL Tech

  A look into some of the 'other' benefits of the GDPR compliance software Since its introduction in May 2018, the European Union's (EU) General Data Protection Regulation (GDPR) has been making headlines. This is more so due to the absurdly hefty fines corporations face for violating this legislation. Even vendors and suppliers of GDPR compliance software are focusing on this issue to market their products to businesses. This is because not all organizations can pay fines of up to €20 million, or 4% of their previous fiscal year's global annual revenue . However, if you look closely, the GDPR is designed to help businesses handle personal data more effectively, limit the risk of data breaches, and establish stronger customer relationships. Hence, here are some benefits that your GDPR compliance software may provide in addition to compliance while lowering the risk of being fined. Improve Data Management Yes, GDPR assists you in improving your data management game. As

  Exploring the causes of enterprise data migration and who would need it Almost everyone seems to be talking about data migration these days. This is especially true now that the pandemic has compelled businesses to migrate to cloud networks and storage facilities. But exactly, what is enterprise data migration? Simply put, data migration can be seen as migrating your data from your old phone to a new one. Regardless of how many times you've done it, there's a risk you'll lose some data, such as contacts that haven't been synced or files that aren't supported by the most recent device. And the chances of losing data significantly increase when switching to a different operating system (OS). Enterprise data migration is like transferring your phone's data, only more challenging. This is because it necessitates specialist expertise and deals with sensitive company data. Who Needs Enterprise Data Migration? The most common usage of enterprise data migration serv

  Exploring how to make the most out of your information governance software In the simplest term, information governance is a framework that guides companies in managing their organizational data, but most businesses would agree that information governance is not an easy job. With tasks relating to legal and regulatory compliance, sensitive data management, storing, sharing, archiving, or disposing of data, it is a lot of work for companies of all shapes and sizes. But, if done right, it can act as a bridge to growth for most of us, and understanding information governance is the first step toward finding that bridge. What is Information Governance? Information governance in a digital-first, cloud-based corporate ecosystem extends beyond paper and digital records management. It covers guidelines for the entire lifecycle of the information from its creation and acquisition to archiving and defensible deletion. It also refers to risk assessment, compliance, information security, company

SharePoint Archive A dive into the emergence of telehealth services, its influence on healthcare providers, and the role of HIPAA compliance According to a McKinsey & Company analysis , telehealth utilization has increased by 38% from the pre-COVID-19 baseline. The increased use of telehealth technology such as audio and video conferencing tools, cloud storage, third-party apps, digital charts, and so on has raised eyebrows in the industry for valid reasons. Since the Health Insurance Portability and Accountability Act , commonly known as HIPAA, provides a federal baseline for privacy measures related to protected health information (PHI), the regulation is obviously looked upon in matters like these. HIPAA regulations apply HIPAA regulations apply to four distinct groups in the sector: healthcare providers, health plans, healthcare clearinghouses, and business associates. The first three groups are known as covered entities , and they are obliged to comply with all HIPAA regul

  Exploring the importance of context in the modern information management arena for better results and growth The significance of precise, scalable information management in today's data sprawl is critical. Organizations must adopt a dynamic information management approach to establish the groundwork for the business to obtain greater value from their data, whether for analytical and strategic business goals or to ensure data security and compliance.  However, the traditional information management practices lack context , are noisy, and are unreliable these days. The primary reason is that data is not categorized and labeled consistently in this method. Instead, users need to manually tag, label and categorize the data, which is time-consuming, error-prone, and hinders grasping the links between the data pieces.  For example, without the context, it would become extremely difficult to determine if the term Paris in your data is associated with the capital city of France, a city