This report is aimed at looking at the benefits, security, data collection methods and management of large data. According to Ward, J.S. and Barker, A., 2013, big data is datasets that are perceived to be beyond the management, storage, reflection and analysis by typical database software tools. As well, it can be argued as being gathering of information from customary and advanced sources inside and outside your organization that speaks to a hotspot for continuous disclosure and investigation. Companies doing their market research, they normally collect data with reference to their subject of interest. Depending on the size of their targeted market, they will have to choose out of the data collection methods the appropriate ones to use. In data collection process, they can decide to incorporate various methods to come up with data size of their interest and that which they find cost effective too.
Large data are collected in variety of ways varying from the use of registries, questionnaires, interviews, direct observations and reports. Registration is applied in the collection of registration types of data, questionnaires are used where respondents are to fill the blank spaces by themselves with or without supervision of researchers. Inquiries can be organized with the aim of obtaining information through interviews.
Benefits, uses and challenges of big data
Benefits of big data
Big data are normally sophisticated with meaningful information that is in most case beneficial and touchy on various issues concerning the operation, productivity, customer relation etc of a business. For the successful business management, the entire process revolves around answering questions and big data becomes beneficial in helping to handle the arising questions Sagiroglu, S. and Sinanc, D., 2013. Additionally, since the data covers a variety of business aspects, it boosts the confidence and the accuracy of the results obtained from the analysis of such data which are reliable and help the management in making informed decisions. Moreover, younger generations are getting absorbed in the various business departments and get jobs since the older generations are not well versed with technology since it is incorporated in every activity carried out in companies, big businesses and in the management of large data.
Uses of big data
Large data are used by businesses to give the prediction of the needs of the customers before the customers ask for them. This help customers have their needs catered for and also saves time on their side since they will not waste time moving to places and even waiting for a particular product since they have all been stock in their nearby shops from the companies and the wholesalers. These data will also help the business to predict their future performance basing on the previous data. Furthermore, large data is used to improve customer service interactions. The only trick is obtaining the right data from your customers who from the analysis will help to efficiently solve the emerging problems between the business and the customers McAfee, A. and Brynjolfsson, E., 2012. Through large data, the business will able to identify the pains of their customers and dig deep into the data to find solutions to the problems.
Challenges of big data
In as much as big data is useful and beneficial, there are also challenges associated with it. The first major challenge faced by business is to identify the right data and how best to use the acquired to draw the important information from it, this can be as a result of “spam data” that compromises the quality of data Katal A. et al, 2013. Having access to the data is another problem since so many data points are still not connected today. Companies still suffer from this because they do not have correct display place to manage the data across enterprise Jagadish H.V, et al, 2014. Additionally, security of the obtained big data is another problem.
Ethical and security issues of big data
Ethical issues of big data
The perception and interests of the people in the choice of what to use in representing data comes in as so many people had at times given preference to the charts because of their nature while they might be representing the untrue data. In this case therefore, the representation of data requires critical thinking when handling the data Martin, K.E, 2015. This is one of the ethical qualities that should be employed while handling big data, failure to which false information may be presented from the data. While incorporating the critical thinking in the big data handling, the speed at which data is handled is as well important. Businesses collect big data for the purpose of meeting the needs of their customers and to improve on the quality of their products. Due to that, it is therefore important to bring the rightful information from the data at the shortest time possible to take care of the market needs.
Security issues of big data
Some of the security issues that are in line with big data are the availability of these data. They are used by hundreds of computers and in the process, they end up being stored and as well reproduced in the cluster Inukollu V.N et al, 2014. A good architecture should therefore be found to ensure for full data availability in the system. To avoid the invasion of privacy, data mining privacy and analytics privacy should be preserved. This will ensure for complete processing of data collected from individuals to give a complete picture that is required.
Summary and recommendations
Those business owners opting to use big data should ensure that they adhere to the ethical issues when they are handling the data. This will help them have the true representation of what the data really represent.
The business owners should also identify the correct methods they can use to determine the correct data and how best they can use the available data to draw useful information out of them. This will help them enjoy the benefits of big data since it will be helping them to answer critical questions that arise in the business.
Through the variety of data collection methods, the business owners who wish to work with big data should choose on the methods that will be cost effective for them and that will give them accurate data from the field.
Most importantly, business owners wanting to use big data are supposed to be aware of the data insecurity and do all it needs to protect their data.
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Sagiroglu, S. and Sinanc, D., 2013, May. Big data: A review. In Collaboration Technologies and Systems (CTS), 2013 International Conference on (pp. 42-47). IEEE.
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