Data management

analyze an organization’s raw data. Companies use BI and several related activities, including data mining, online analytical processing, querying and reporting to improve decision making, cut costs, identify new business opportunities and identify inefficient business processes that are ripe for re-engineering. 2) What is Visual Analytics, dashboards, data warehouse, data dictionary, meta data, ETL, schema, attributes, hierarchy, cube, OLAP, “drill down”, data mining, data mapping. The…

effectiveness and patients total care experience. For this reason, institutions are using Business Intelligence (BI) and analytics to aid with measuring process, outcome and patient fulfillment. Organizations are aware that accurate and reliable data is and will continue to be an integral part of the BI solution. However, a survey by Teksystems conducted in 2014, stated that roughly 58 percent of physician practices…

Data mining is an interdisciplinary field of the computer engineering which includes gathering, preparing, putting away and investigating information with a specific end goal to find (and concentrate) new data from it. There are various advantages of data mining, yet to comprehend them completely, we need to have some fundamental information of what information mining really is and what end goal we need to achieve by applying certain techniques on a data set. It is the computational procedure of…

Table of Contents Executive Summary 3 Facts about Alzheimer’s: 3 Usage of Data analytics in the healthcare sector 3 Internal Processes 4 1. Clinical Trials 4 2. Systems Biology 4 3. Simulation of processes: 4 4. Better disease prediction: 4 5. Risk and compliance management: 4 External Processes 4 1. Real-time health tracking 4 2. Electronic health records and Electronic medical records 4 3. Cross-selling applications 5 4. Credit services to medical practitioners 5 Internal Process – Clinical…

the data utilized in healthcare organizations or businesses are the foundation of the success, especially dealing with health information. Studies in recent years on data quality show where the state of data quality measured poorly. It found that the storage of records up to 20 percent was significantly affected (Johns, 2015). Findings also indicated that up to 80 percent of the records regarding consent of physician-patient encounter was did not add up (Johns, 2015). Data quality management in…

Big data has transformed into an important element in establishing growth for any business. The term is used to describe a crucial and massive volume of data to be processed by any software technique. It can also be referred to as a hi-tech tool used to handle large amounts of data. Big data is imperative to a business as it produces a more accurate analysis due to the large amounts of data. Consequently, users can make better decisions that can be helpful in reducing risks and greater…

A traditional traffic model for circuit switched data as well as packet data is the Poisson process in which the number of incoming packets per time is according to Poisson distribution. It is one of the most widely used and oldest traffic models. In this model the length of each packet is based on exponential distribution and the number of simultaneously ongoing packets is according to Erlang distribution [16]. The Poisson process is characterized as a renewal process. In a Poisson process the…

2.1 The Proposed Work The objective of proposed research is to study and analyze the presence of suspicious network traffic behavior of every categorization attack instance along with normal network traffic pattern collected from modified KDDCUP99 intrusion dataset, as appeared in the form of modified dataset sizes deployed in experimental work. The methodology is enhanced with the hybrid approach, i.e. determining the evolutionary computation technique combine with supervised machine learning…

machines to wearable devices – using built-in sensors to gather data and take action on that data across a network” [1]. The theory of the IoT is simple, but the rewards and benefits are incredible; according to Gartner, revenue resulting from IoT products and services is expected to exceed $300 billion in 2020, and that estimate is assumed to be on the safe-end [2]. Consumers are likely to invest their money into intelligent products with data sensing capabilities that enhance life – such as a…

Another operations management technique widely used in the business world in linear programming. What is linear programming? Linear programming is a commonly used mathematical technique designed to help operations managers plan and make the decisions necessary to allocate resources (Quantitative Module B: Linear Programming). In addition, Linear Programming (“LP”) is one of the few operations management techniques that will guarantee an optimal answer, providing that all of the assumptions are…