EMR (electronic Medical Record) adoption, big data and other trends are helping a lot in the generation of data in the healthcare industry. But data is not what drives the healthcare industry- managing this data does. In healthcare, data analytics is done in use cases. Multiple use cases are created according to the need like one while patient got admitted in some department, a use case gets created. To provide best services to patients timely, immediate access to patient’s data without the barrier of time or location. Read the full article here: http://www.computerworld.com/article/3038315/data-analytics/accelerate-time-to-value-with-healthcare-discovery-analytics.html

Cloud Analytics is one application that is growing very fast and will accelerate in the coming decade. According to Ashutosh Kulkarni (Sr. Vice President and General Manager, Informatica Cloud), scalability, affordable price, simplicity to offer domain specific and user-specific capabilities make cloud analytics unbeatable. The scalability of Hadoop, and the emergence of highly elastic cloud analytic services like AWS, EMR and Redshift, Microsoft Azure, and Salesforce Wave Analytics, has helped in moving IT infrastructure to the cloud and cloud integration Platform-as-a-service (iPaaS) is designed to support the scalability, reliability and security of cloud analytics. Read more at: http://www.computerworld.com/article/2924846/data-analytics/the-future-of-cloud-analytics-is-now.html