ZL Tech

  Understanding the value and gravity of migrating unstructured data from legacy systems to the cloud and exploring some best practices Let's face it; no one wants to lose valuable consumer data for various reasons, including improved marketing, consumer insights, better consumer handling, supply chain visibility, and so on. But many CEOs are having trouble keeping their data in legacy systems while shifting to a 21st-century work environment. So much so that 56% of enterprises want to store more data in the cloud, but questions of where & when remains one of the top priorities. You see, unstructured legacy data from mainframe databases, reports, files, and software assets are still in use today – usually for legal reasons or to keep track of old accounting data, but it poses a financial danger to companies who continue to support these systems. When it comes to data management, unstructured analytics is already one of the most significant issues for most businesses. This is ...

Understanding the importance of legacy database migration as companies desperately race to migrate to new technologies The battle over whether to maintain the data or lose as much as possible is still ongoing in many firms. But regardless of the management's decision, the data must be available in an accessible and usable format. However, the introduction of new technologies and the abandonment of old ones has resulted in a pool of legacy systems that can no longer hold the data in modern-day usable formats and urgently require an upgrade or a next-generation successor. What is a legacy system? A legacy system is a computing software or hardware that has been around for a long time and is still used today. While these systems may still meet the requirements for which they were designed, they are frequently based on outdated technology. And with the global datasphere anticipated to rise to 175 zettabytes by 2025 , older systems may find it challenging to keep up with the modern-day ...

  Understanding the correct mindset needed for a successful on-premises to a cloud-based solution migration Let's face it: data migration is happening everywhere, partially because of firms having to accommodate employees who were forced to work from home due to the pandemic, but it's happening at a breakneck pace . However, many companies face similar challenges  and cite the same tech initiative priorities to achieve their aim of greater business agility and efficiency owing to their haste in migrating enterprise data from on-premises to managed cloud solutions . In truth, despite the best intentions, having a handle on growing volumes of data from various sources remains a fresh and confusing concept for many businesses, and missed opportunities are nevertheless widespread. One of the biggest concerns is that many executives believe that the success of cloud migration is only based on technology resulting in a rise in cloud infrastructure spending . However, although techn...

  Discussing the must-have features in an eDiscovery tool for effective handling of DSAR  With new privacy standards sprouting up every day, the demands of data subject access requests (DSARs) are rising rapidly enough to overburden the personnel responsible for them. Furthermore, responding to an increasing number of DSARs without suitable automation might have a significant financial impact on a business. As a result, companies need collaborative, intuitive, feature-rich, and comprehensive eDiscovery software to respond quickly and effectively while keeping costs under control. Collaboration Due to the turnaround time of 30 days, DSAR places much strain on the teams responsible for gathering the correct data, organizing it, and preparing it for the response per the regulations. As a result, good real-time coordination across all teams involved is vital to staying on track, meeting deadlines, and minimizing oversights or duplication of work. Multiple users from distinct depa...