Project report: big data in Aged care organizations
The report explore about the usage of big data in Aged care. Big data is a technology in which huge amount of data is stored which is used in for Aged care or organizations. Big data can be used for different analysis done over data, decision making and to make some of the strategically moves in any organization or Aged care. Also the technique of big data can be defined by various V’s i.e. Variety, Volume and Velocity.
Project objective & Project scope
The objective of this report is to compare different literature reviews published or discussed by different authors on the topic big data which will lead to explanation of uses of big data in Aged care. Also the issue for adopting this technology will be described in this project.All the benefits as well as the drawbacks of the technology in organizations or Aged care will be described. The scope of this project is high as the big data is one of the growing technologies in computing world hence any company trying to adopt the technology will be helped by this project and also the companies who are already into the same will be helped for better growth.(Eatough, Shockley and Yu, 2016).
Many suggestions have been done for the topic of big data in business organizations. Some of them provide positive impacts where as some of them bring in negative aspects of the big data to the organizations or Aged care. Big data can be described as large or huge amount of data which can be in structured or unstructured form. It helps many organizations and Aged cares by providing deep analysis of situations with data for decision making purposes. Many organizations and Aged care uses big data for building a strong relationship through which they aim at maintaining the good relationship is managed. They use to collect data when they register a person of their organization is added to the organization and they also use to ask for phone numbers and other information about the person. All these data can be used in different manner by the organization and work as a key factor for any organization in processes.
In future it is estimated that big data may bring increase in profit for the organizations and Aged cares. As this technology is new for IT sector hence organizations does face some issues and challenges from this technology. One of the biggest issues can be handling and managing the large amount of data. It may not be possible for every organization to handle this data. Complexity of the technology is another issue to be conquered by the organizations or Aged cares. Time investment for the organizations is high on the analysis of data due to increase of data at a fast pace. All these problems of big data don’t stop the growing use of the technology in many business organizations as it provides high number of opportunities. It also helps in forming some good relations through better services and their relationship management. Being a new technology the issue may be seen to be resolved in future and be the future of Information Technology sector.(Weatherly and Derenne,2014).
4.0 Research Questions and justification
The research questions bring out the applicable factors and aspects related to the big data technology uses in organizations or Aged care. The questions will also bring out the suitable motivation for the research over the topic and also find the way to do the research for proper results and outcome(Sinha, 2016).
4.1 Primary question
Ques. 1 – How is big data useful for the Aged care?
4.2 Secondary question
Ques. 1 – What are the various adoption hurdles for the Aged care?
Ques. 2 – What are the privacy factors of using big data for some precious data of the Aged care?
Ques. 3 – What are different problems related to the technology?
5.0 Research design and methodology
5.1 Qualitative research
Qualitative research points at the detailed study of the topic in form of word, pictures and objects rather than numeral data. The research consumes more time and is specific type of research type. In this the performance of individual is really important as it brings out the experience of the topic which helps in effective research and better result. (Schillewaert and Meulemeester, 2005)
5.1.1Steps for process of Qualitative research
Qualitative research will be done in some steps or phases which are:
- Defining the Research questions
- Identifying the theory that drives the inquiry.
- Selecting appropriate qualitative research tool for research.
- Analyzing and interpretation of the data.
- Conclusion for the reports and research.
5.1.2 Approaches to Reliability and Validity
Validity in qualitative research means “appropriateness” of the tools, processes, and data and reliability refers to exact count ability of the processes and the results. In qualitative research can be various approaches to reliability and validity (Haldar and Vidyasankar, 2007). The approach used in this qualitative research is Triangulation approach. In triangulation approach uses cross checking method for data to analyze the validity and reliability of the research. It uses different sources of information which can be stake holders, researchers, community members or other family members used to increase the validity of study. Also member checking approach is used in the approach of validity of the data. In this the interpretations and conclusions are tested by the members through which the data will be collected originally (Ossip, 1986).
Sampling refers to the selection of individuals, units, and/or settings to be studied. Qualitative studies often use purposeful or criterion-based sampling such as quota sampling or convenience sampling or snow ball sampling. All these are non-probability sampling techniques which meansnot every person will have chance to be part of sampling but only few of them will be part of sampling. In this research snowball or chain sampling will be used. Snowball sampling or chain sampling involves Identifying cases of interest from people who know people about the cases that are information-rich i.e. who would be a good interview participant. In this researchers use their own circle in sampling for the research and only population with appropriate knowledge will be contacted (Holmes and Mergen, 2017).
5.1.4 Sample size
The sample size that must be used in this qualitative research is 100. The reason for using this is that not many people with knowledge of topic of research can be approached in short span of time and also a concise sample size brings in more accurate outcome or result for the research. This will also save some trouble for the researchers (O'Malley, 2012).
5.1.5 Data Collection method
The data collection method that will be used in the research is observation. Observation in qualitative research generally involves spending an amount of time in the setting. Field notes are taken throughout the observations and are focused on what is seen with respect to the topic. Many researchers also record notes to assist in determining what the observed events mean and to provide help for answering the research questions during data analysis (McKinnish, 2005).
5.1.6 Variable specification
The research on uses of big data in Aged care has many variables in which some of them are dependent and some of them are independent. The data collected brings in benefit for the organization hence the growth of the organization is dependent on the level of data collected. Also the organization is a dependent variable in the research (O'Malley, 2012).
The quantitative research emphasize on the numeric data by analyzing through mathematic models, theories and hypothesis. The researcher analyzes the data with the help of statistics.
5.2.1Steps for process of Quantitative research
The quantitative research has different steps to process. The steps are:
- Selection of designing the research according to the topic.
- Review of literature and evaluation.
- Collection of data is the next step.
- After collection of data analysis and interpreting of data is done.
- Evaluation of data is done in the last step.
5.2.2 Research Instrument
The research instrument in the research is used to measure the effectiveness of research. The research here uses observation forms and questionnaire in the quantitative research. These instruments will be used as they are very much reliable than other instruments.
5.2.3 Quantitative Data Analysis Process
The data analysis process is started by cleaning the data and removing the unwanted data from the collected data for research so that the research will be effective. Next step in the process will be assigning the codes and symbols to the data to categorize the data which limits the data. Also data is to be transferred in the form of tables and figures. At the end of data analysis process the interpretation is done from the data. And discussions will be done for the research (Blundell and Walker, 1984).
5.2.4 Sampling and sample size
In the sampling process of quantitative research the sample used is comparatively larger than that of qualitative research. Researchers focus on the specific techniques that will yield highly representative samples such as convenience sampling, quota sampling, purpose sampling, snowball sampling, random sampling and probability sampling. In this research convenience sampling is done so that larger group can be sampled for the research process. Sample size that is to be taken under is 200.
5.2.5 Interviewing and Questionary design
The process of questionnaire design as few steps to be undertaken. The initial step is to consult the stakeholders for the topic and then the drafting of questionnaires is done i.e. questions are made, formatting is set, analysis of data collected is done, etc. and the final step is done by testing the results at the field and revise it for the final survey done in the organizations. The questionnaires and interviews are done in the organizations working in the technology of big data and using it in Aged cares.
5.2.6 Reliability and Validity of data
The reliability and validity of data is checked in order to have proper and effective outcomes or results from the research. Both of them are linked to each other and is done side by side in the research of the topic.
The research will be having some flaws and limitations due to the reason that the research will be having some time bound in which the effective research must be done. Also being a new technology the population in the sampling for the research will not have appropriate knowledge. Also the research may not be up to the mark.
The above Gantt chart describes the overall time schedule for research over the topics. The tasks such as objective and scope, literature reviewing, questionnaires, research methodology, etc. are carried out in some time which is displayed in the Gantt chart in weeks.
After discussing all the literatures for the topic of uses of big data in business organizations it can be concluded that the technology of big data is useful in much sense for the organizations as it brings in many opportunities. Also being a new trend in computing world not full benefit is being taken out but with the time it will be done by removing all the hurdles.