Information Technology And Strategy Samples †MyAssignmenthelp.com

Question: Discuss about the Information Technology And Strategy. Answer: Data Strategy The main point of emphasis when relating to the concept of the data processing is to collect, present and justify the use of the data. This can directly help in improving the standard of the working of the organisation and better service to the patients. The data can be very important part of the overall working of the organisation. Digital Strategy The strategy which is involved in the concept of the digital strategy mainly states the improvement and the factor related to the health care of the patients, doctor and the health care professional through the digital transformation. Proposed Strategy relating to data and digital strategy Big data and analytics have majorly climbed the top of the sector which are related to the business. Together the concept promises to transform the way any organisation do business and their approach towards reaching the goal. Some of the points that should be covered in the concept are: Choose the data which is right: The concept of the data and modelling have changed considerable in few years. The volume of data which is generated is growing up in a huge amount. the control of the data is very much needed in order to achieve standards in which the data is secured and are received when needed. Building up of model: The concept of data is very much important and competitive advantage. Most importantly the most effective approach is to build a model which mainly starts not with the data only but also identifying an opportunity which is related to the business and determining the model that can directly improve the performance. Transform the companys capability: the main problem which arise in the concept of the transformation is the mismatch between the concept of the organizations existing culture and the capability and the capabilities and the emerging tactics. In order to comprehend the aspect, the big data requires thoughtful change of the organisations and three action area of the action that can get the goal of the organisation (Wang, Zhang and Dudley 2016). Importance of proposed Strategy Cost saving: some of the tools like Hadoop and the cloud based analytics can bring about major advantages when encountering huge amount of data. Time reduction: the high speed of the tools for example Hadoop and the memory analytics can easily identify new data which helps business analysing data immediately and make quick decision which is based upon learning Control reputation online: big data tools can directly implement sentiment analysis. Therefore, the business body can get feedback from the customer which can help in improving the business standard (Schmitt et al. 2016). 3Vs Volume: the concept can observe and track the data from the various source of the data. In this way the tracking concept of the data is very much applicable and can be easily achieved. Velocity: the data stream is very much high and must be dealt according to time. This mainly includes the transaction of the business, social media and the information from the aspect of machine to machine or the data sensor. Variety: the data can come in many formats numeric in the traditional data base. The support format of the data can be audio, video, email and stock ticker data (Horrocks et al. 2017). References Groves, P., Kayyali, B., Knott, D. and Kuiken, S.V., 2016. The'big data'revolution in healthcare: Accelerating value and innovation. Horrocks, S., Wilkinson, T., Schnier, C., Ly, A., Woodfield, R., Rannikme, K., Quinn, T.J. and Sudlow, C.L., 2017. Accuracy of routinely-collected healthcare data for identifying motor neurone disease cases: A systematic review. PloS one, 12(2), p.e0172639. Schmitt, J., Arnold, K., Druschke, D., Swart, E., Grhlert, X., Maywald, U., Fuchs, A., Werblow, A., Schemken, M., Reichert, J. and Rdiger, M., 2016. Early comprehensive care of preterm infantseffects on quality of life, childhood development, and healthcare utilization: study protocol for a cohort study linking administrative healthcare data with patient reported primary data. BMC pediatrics, 16(1), p.104. Wang, F., Zhang, P. and Dudley, J., 2016, August. Healthcare Data Mining with Matrix Models. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 2137-2138). ACM.