ZL Tech

  Exploring the challenges of records management professionals to determine the traits of a robust records management software It's fascinating to note how the emergence of big data has made it even more challenging for records managers to cope with the massive volumes of data generated every day, from categorization to distribution to retention. In fact, according to an IDC study , data professionals burn nearly half of their weekly time – 30% looking for, controlling, and processing data, plus 20% duplicating work. However, this is primarily due to the traditional records management approach, which many companies still follow religiously. Traditional Records Management and Classification Approach Users used to categorize records as they were generated, making the traditional records management and categorization straightforward and uncomplicated. However, this strategy does not scale with the current daily data volume , and the additional weight hampers users who seek to carry ou...

  Discussing the three security measures that can assist jumpstart the information management conversation for a successful remote workforce If your company is like others, your employees work from home, testing your business continuity strategy. And, more than likely, you've had to adapt technology quickly to assist your staff in communicating and collaborating while remaining productive. However, the shift to remote working may have introduced additional difficulties for your company, such as using insecure devices, applications, or even unsecured Wi-Fi. But there are other information management and governance issues such as storing the data in appropriate locations, using the necessary methods to monitor it all, categorizing it effectively, and keeping it out of the wrong hands. Furthermore, every day, hundreds, if not thousands, of distant connections, information exchange, and new data are uploaded to your record-keeping systems, leaving your system vulnerable to assaults. An...

  Exploring how the fast-paced world of data analytics is shaping the future of healthcare Data collection has traditionally been one of the most challenging in the healthcare business due to a lack of adequate data governance systems because for data to be used across various healthcare disciplines, it must be clear, to the point, and appropriately prepared. However, with the emergence of new technologies , it has become possible for healthcare companies to collect data and use it to improve planning, management, and learning and to support fact-based decision-making through analytics. Regulations such as HIPAA, increasing cyber-attacks for patients' Protected Health Information (PHI), and growing demand for data privacy compliance by internet-savvy consumers have also made it near mandatory , resulting in insights used by various industries. Insights on healthcare data analytics in a various industry Healthcare data analytics can reduce treatment costs and forecast disease outbre...

  Comprehending Healthcare Data Analytics and its Role in Combating COVID-19   You don't have to be a medical professional to notice COVID-19's destructive impact on the global healthcare industry. Most people, however, are ignorant of the pandemic's impact on healthcare data analytics. Big data tools, according to HealthITAnalytics , have played an increasingly important role in healthcare decision-making during the pandemic. To the point that everyone from policymakers to academics is using insights obtained from healthcare data analytics and prediction models to manage resources, forecast surges, improve medical services and results, and take preventative measures. But that is not the complete picture. Unfortunately, COVID-19 appears to be " shining a harsh spotlight on health care's biggest issues " – exchanging health data across businesses. You see, there are various hurdles and a noticeable lack of standardization in the way data is obtained and process...