University IT and Strategy Report: Data and Digital Strategy

This report delves into the realm of information technology and strategy, specifically examining data and digital strategies within an organizational context. It emphasizes the significance of data processing, highlighting its role in collecting, presenting, and justifying data usage to enhance organizational operations and patient service. The report further explores digital strategy, focusing on improving healthcare for patients, doctors, and healthcare professionals through digital transformation. It proposes a strategy centered on big data and analytics, outlining key steps such as selecting the right data, building effective models, and transforming company capabilities. The report underscores the importance of the proposed strategy by detailing its benefits, including cost savings, time reduction, and online reputation management. Additionally, it discusses the 3Vs of data: volume, velocity, and variety, providing a comprehensive overview of the subject matter.

Running head: INFORMATION TECHNOLOGY AND STRATEGY
INFORMATION TECHNOLOGY AND STRATEGY
Name of the Student
Name of the University
Author Note

2INFORMATION TECHNOLOGY AND STRATEGY
Table of Contents
Data Strategy..............................................................................................................................3
Digital Strategy..........................................................................................................................3
Proposed Strategy relating to data and digital strategy..............................................................3
Importance of proposed Strategy...............................................................................................4
3Vs.............................................................................................................................................4
References..................................................................................................................................5

3INFORMATION TECHNOLOGY AND STRATEGY
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 company’s capability: the main problem which arise in the concept of the
transformation is the mismatch between the concept of the organizations existing culture

4INFORMATION TECHNOLOGY AND STRATEGY
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).

5INFORMATION TECHNOLOGY AND STRATEGY
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., Rannikmäe, 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., Grählert, X., Maywald, U., Fuchs, A.,
Werblow, A., Schemken, M., Reichert, J. and Rüdiger, M., 2016. Early comprehensive care
of preterm infants—effects 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.