For this assessment task, you will create a two-minute video and written proposal about the impact of a particular technology on an industry or field.
The purpose of this assignment is for you to develop your big-picture thinking, and to explore various impacts of the ever-changing IT industry.
The following course learning outcomes are assessed by completing this assessment:
The Digital Revolution is not limited to the past – we should expect changes to continue for the foreseeable future. The aim of this assessment is for you to explore how IT might change a particular industry in the future, based on current trends and upcoming technologies.
It can be stated here that the sector which is related to the real estate can be considered to be an attractive option for the investment sector which is safe directly for the common people. one of the most important factor which can be related to the concept of the real estate investment is that it does not directly change value. On the other had not can be stated that the according to recent prices of the real estate the price cannot keep rising all the time. One of the sector which can be stated in the sector of implementation of data mining in is directly related to the concept of the data which would be stored in the concept. It can be stated that the implementation of the data mining process into the concept of the real estate would be very much beneficial in the sector of the securing of all the necessary data which are conceived into the system.
The main focus point of the report is to take into consideration different aspect which are related to the aspect of involvement of data mining into the prospective of the real estate.
The potential impact which the concept of the data mining would be having on the sector of the real estate are stated below:
The main sector of regulation which can be included into the sector is the security of the data which would be prevailing in the system. This is due to the factor that there are different legal documents which are attached to the concept of the real estate which are very much crucial for the working of the overall process
There are different forms of law which directly govern the aspect of all the functionality which is related to the operation which is prevailing into the system. These laws majorly state how the overall interaction with the system would be governed and how it can be managed within the working of the overall organization.
Impact on market
The main impact that the implementation of the data mining which would be having in the sector of the alteration of the different execution process which would reform the market place as well as interaction with the normal people and the audience.
The main sector of ethics which can be related to the concept can be stated in the process of the auction. It should be very much ethical in the sector so that the process is executed in a proper manner without any form of discrepancy related to the overall value and the budget is not seen in the sector of the operation which is related to the concept.
The main concept which is related to the disruption aspect is the interaction of the data which would be present in the concept of the data mining with the real estate. In majorly of the cases it can be seen that fault may be included into the working which can directly result in the sector of the disclosure of the data which can alter the overall interaction process which is related to the concept. In this context it can be stated that the security of the data is very much important in the concept of the operation which is included into the aspect.
Figure 1: Process Model Diagram of Data mining implementation in Real Estate
(Source: Created by [Name of the Student])
In the above diagram it can be seen that the concept of the security of the data which would be given in a data in the sector of the real estate is very much low level. This aspect can majorly include different sectors of unethical factors involved into the concept of the storing of the data. The ethical aspect in the concept of the storing of the data is not seen due to the factor that there is no control mechanism involved into the concept.
In the diagram which is given below the implementation of data mining is added into the control which directly adds a security mechanism in the overall process which would be directly enhancing the system which is linked to the process. The involvement of the security aspect can be beneficial in the implementation and the saving of the data which is stored into the working of the real estate due to the factor that there can be different types of factor of risk which can be included into the working which should be checked and controlled so that the overall system is secured from intruders. In the diagram which is given below it can be stated that the aspect of monitoring is included into the process which would be directly safeguarding the data which would be involved into the systems
Figure 2: Process Model Diagram of Data mining implementation in Real Estate
(Source: Created by [Name of the Student])
The report can be ended on a note that the sector of the data mining implementation in the real estate can be stated to be very much important and is playing a very vital role. On the other hand, it can be stated that there are different sectors of issues which could be seen in the process which in the near future can be stared to be getting mitigated and it would be error free implementation of the concept and highly adopted concept.
The process which is related to the aspect of the involvement of data mining in real estate according to me is very much important. I have majorly in recent times come across different concept of implementation which majorly focus on different technological aspect being involved into different domain but this implementation can be stated to be very important to me. I can have stated here that in the concept of the real estate there are different types of data generated which can be very much crucial for the organization which is directly dealing with the data so the engagement of the concept of the data mining into the aspect can be stated to be very much important which would be directly safeguarding the data and keeping a precaution measure into the concept of the operation which is related to the concept. The security of data in any of the public domain oriented sector for the me is very much important due to the factor that if there are any problem seen in the sector it can directly lead to different types of problem which can eventually disrupt the normal functionality which is related to the concept of the operation. I have majorly come across different implementation derails of the concept of the data mining and how it can directly benefit the sector of the implementation when it would be included into the working of a technological aspect. There are major field of advantage and disadvantage seen in the implementation sector of the aspect which according to me is very much important due to the factor that it directly gets involved into the internal working of the concept. I can say at the end that the concept would be playing a more vital role in the near future which would be helping the technology to be adopted in more access areas.
Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314-347.
Larose, D. T., & Larose, C. D. (2014). Discovering knowledge in data: an introduction to data mining. John Wiley & Sons.
Li, D., Wang, S., & Li, D. (2015). Spatial data mining. Springer Berlin Heidelberg.
Nelson, R., & Staggers, N. (2016). Health Informatics-E-Book: An Interprofessional Approach. Elsevier Health Sciences.
Shekhar, S., Jiang, Z., Ali, R. Y., Eftelioglu, E., Tang, X., Gunturi, V., & Zhou, X. (2015). Spatiotemporal data mining: a computational perspective. ISPRS International Journal of Geo-Information, 4(4), 2306-2338.
Shmueli, G., Bruce, P. C., Patel, N. R., Yahav, I., & Lichtendahl Jr, K. C. (2017). Data mining for business analytics: concepts, techniques, and applications in R. John Wiley & Sons.
Shmueli, G., Patel, N. R., & Bruce, P. C. (2016). Data mining for business analytics: Concepts, techniques, and applications with XLMiner. John Wiley & Sons.
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