InfoCepts

  Real-time analytics can deliver operational, financial, and clinical improvements to healthcare providers and organizations worldwide. Post the COVID pandemic, organizations are looking to improve patient engagements quickly with real-time decision making, modernize electronic health records system, and accelerate the process of saving lives by digitizing critical business processes. Most recent forecasts indicate that health-related analytics, its applications, and the overall market will grow to $28 billion by 2025--and it's easy to see why. Data and analytics combined with modern innovations in AI and ML can help organizations focus on improving patient care, build smart clinical solutions with real-time actionable insights, and better safeguard patient records.   Here we share six pragmatic applications of real-time analytics in the healthcare industry: 1 . Forecasting patient load and utilization pattern Similar tohow analytics is being widely used in the transport indus

  Banks and other financial services companies generate a lot of data daily. Applying analytics and data science in functional areas such as sales, marketring, finance, risk, compliance, fraudand NPA monitoring, can help ensure operational excellence and allow management to make critical decisions where timing is crucial. Partnering with the right  data analytics companies   enables banks to advance, accelerate, and automate their data-driven decisions. Here are some examples of how data analytics can be good for banking.   Streamline and modernize the data and analytics landscape   Financial services companies are plagued often with challenges caused by interconnected issues in their data and analytics landscape, worsened by a lack of in-house expertise. This results in compromised data quality, scalability, user experience, and trustworthiness.   See how InfoCepts  provided a data and analytics solution that improved data quality, transformed data governance, and revamped delivery ex