Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. Healthcare Business Intelligence & Analytics – A Dose of Wellness, - As the Healthcare industry moves to the next level of offerings, data captured coupled with business intelligence & data analytics provides innovative solutions for this very dynamic industry relying heavily on contemporary techniques like mobile technologies, the Cloud and the IoT. Innovations in data management allow for unstructured clinical notes to be organized into compelling structures. Based on the mode of delivery, the market is classified into on-premise models, web-hosted models, and cloud-based models. Big data analysis in healthcare has the power to assist in new therapy and innovative drug discoveries. Moreover, the report gives insights into the factors that affect the global as well as regional performance of the market in the short run and in the long run. The pharmaceutical and life science industry is experiencing problems such as decreasing productivity, low achievement rate in R&D and increasing regulatory challenges, Global Diabetes Market Report: 2015 Edition - New Report by Koncept Analytics, - The report “Global Diabetes Market” provides an in-depth analysis of the global diabetes market. The clinical decision support systems incorporate predictive analytics to support medical decision making at … This market was valued at $602.4million in 2013, and is expected to grow at a CAGR of 28.4% from 2014 to 2019. With big data, big answers and meaningful analytics … Operational Efficiency Through Predictive Analytics: Let’s focus on one key area and dive a little bit deeper: enabling healthcare providers to “do more with less.” This is a critical need for hospitals to remain viable because of a number of forces: An aging population is increasing the … Provide future-proof detection techniques Guard against habitual offenders Ensure that pre-paid service is truly risk free Launch profitable IP-based services Network optimization Network management is possibly be the most complex operation in a telecom company, the size of the investment decisions and the cost of a failure in terms of customer perception. This unit, Introduction to Health Care Data Analytics,Lecture A, has the following objectives: Give a basic overview of data analytics in health care. Conclusions Customer Data Predictive Analytics with Data Mining: Predictive Model, Why Predictive Modelling Nearly every business in markets will eventually need to do predictive modeling to remain ahead of the curve. At the first stage, segmentation helps reach out to prospects with higher predicted conversion rates, thereby increasing the campaign SUCCeSS rate as well as the ROI. The Global Healthcare Analytics Market accounted for $5.5 billion in 2014 and is expected to grow at a CAGR of 24.82% to reach $32.4 billion by 2022. Predictive analytics Uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. Predictive DATA Analytics Process Predictive Analytics TIME Reporting/ Analysis What happened Why that happened . Customer segmentation Customers are segmented both at the pre-subscription and subscription phases. 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