Organisation actively engaged in Information Age
Research has been done on the organization named AMA GROUP LIMITED in order to complete the assignment. AMA GROUP LIMITED is has been listed as a company of the Australian Stock Exchange. The region where the organization is associated with performing its all operations is the retail sector. The main goal of the organization includes the providing after care for the vehicles. The organization is also associated with the production of vehicle accessories. The different sections of the organization mainly involves various kind so shops like the shop for repairing of smashes, workshops for various automotive parts as well as for the various electrical components required by vehicles. Besides all this there exists bull bars in order to protect the vehicle along with different kind of workshops which are responsible for proving service to the vehicles mainly regarding the braking and transmission (amagroupltd.com, 2018).
The main components of this section mainly involves the analysis that has been conducted over the privacy and the security policies which are related to the companies’ official website. In the section of the report the major regions which has been addressed includes the security of the data along with the governance of the data. The addressing of this has been done by the usage of the nine major principles of the Australian data Governance draft code of practice. The section below provides a brief discussion about the relation of the nine main principles with the security and the privacy of the data that exists in the AMA GROUP LIMITED.
- No harm rule: This principle is mainly associated with showing the fact that there is a need of including the whole reporting entity which would be initially resulting in the usage of all the best endeavours which are generally required in order to make sure that the disclosure of the information is done without having any intension causing harm to the individual whose information has been disclosed. The same thing is also considered regarding the collection and usage of the personal information or the PI. In order to make sure that the usage of the data is not being done unethically, the reporting entity is working along with the integrity (Tivey et al.2017). Besides this there is also a need of making sure that there is no occurrence of any kind of data leakage to the third parties. The exploitation of the collected data should not be done. With respect to the organization AMA GROUP LIMITED few steps have been adopted in order to ensure the fact that all the areas are confined by the diverse kind of obligations related to privacy as well as the confidentiality for the purpose of protecting the PI. Besides this some of the non-personally identifiable information are collected the visitors expressively but despite of this the information is not limited to the version or the type of browsing or the pages that are viewed or the operating system and many more (Bennett and Raab 2017). The information that are collected is associated with serving the gauging trends, the traffic related to the visitors and also for the purpose of delivering of the contents which are personalized.
- Honesty and the transparency: This principle is generally required for the purpose of acting by adaptation of the honesty while collection and disclosure of any data. Besides this it is also to be ensured by AMA GROUP LIMITED that the collection and disclosure of the data is done in accordance to the policies related to the privacy along with the notification statements related to privacy. Any kind of enquiry related to the personal information is to be made by making use of the mechanisms which are easy and can be clearly accessible by the individuals. Besides this certain efforts are to be made by AMA GROUP LIMITED for the purpose of raising awareness along with promotion and encouraging the adaptation of codes while disclosure of any type of personal information from the third parties. The data is collected by AMA GROUP LIMITED for the purpose of changing the policies. This change in policy is mainly done by adhering to the practices which are generally kept updated. The accessing of the customer information is generally done in order to anticipate the use on a timely basis which may not be disclosed in privacy notice. The customer support feature that the organization AMA GROUP LIMITED is having generally requires the customer to submit the PII or the personally identifiable information (Balsand Tate 2017). This type of information might not be limited to any kind of password or some type of unique username along with providing of any type of sensitive information in order to recover a password which is lost. The company is also associated with hiring other companies in order to offer services on behalf of the organization and besides this the appointed companies are provided the access to the PI that are required by them in order to deliver the services.
- Fairness: This is something which is used during the collection or disclosure of PI. This is generally done by taking into account the different kind of factors that mainly includes the reasonable expectations that the communities are having about the ways in which the PI is being used and the risks associated with it which would cause harm to the subject individual (Prinsloo2017). This is also responsible for the determining of the time that is required in order to retain a PI. Along with this the collection of the PI is to be done form the subjected individual to conduct the various business processes. Besides this the right of accessing any kind of PI by AMA GROUP LIMITED is subjected to any kind of expectations that are permitted by the law related to privacy. So it is possible to state the fact that fairness is not being used by AMA GROUP LIMITED because the PI of the customers can be used unexpectedly and the disclosure is not done in relation to the privacy so it is very essential for AMA GROUP LIMITED to adopt fairness along with mentioning the things in the notification statement for the privacy.
- Choice: AMA GROUP LIMITED should ensure that fact that there exists certain mechanisms which are properly developed and are associated with providing certain choices related to the usage and the collection of the PI. But despite of this the principles related to PI that is currently aligned by the organization have not be associated with incorporating the facts which are listed in the principles related to the code of practice. The re identification of external data is not to be done unless and until there is a requirement by law. The external data mainly refers to the sensitive information and it is not to be re-identified without any kind of consent of the owner of the information (Nerantzidis2015).
- Accuracy and Access: According to this principle it is required by the entity associated with reporting to take certain steps, which would be ensuring the fact that the data which is being shared are not misleading and are accurate. Besides this the adaptation along with the development of the industry standards are to be encouraged which would be helping in the effective implementation of the codes. The use of the PI by AMA GROUP LIMITED is mainly intended to collect the information personally and also to deliver personalized contents to the customers when they are present at the site. Along with this it is also to be ensured by the organization that they are associated with providing certain choices in order to use and to collect the PI which would be easy to understand and would be accessed very easily by the subjected individuals.
- Safety, security and de identification- according to this principle AMA GROUP LIMITED should be associated with organizing and designing the various securities that are mainly according to industry standards that are recognized and are suitable for addressing any harms that might be occurring due to the breach of security (Abdallahand Ismail 2017). Along with this a specified individual is to be nominated who having the responsibility of data security that is hold by it. The sets of data that are collected and stored is to be treated as personal information unless and until the organization identifies the de-identification techniques and appropriate security measures. Besides this, it is also to be ensured that process of de identification is kept robust by updating and testing the techniques on a regular basis by taking reference from the recognized standards of industry.
- Accountability- This principle is associated with guiding the organization to maintain as well as create certain register categories of personal information and such information which would be involving the disclosure of information to third parties along with the ways by which the personal information is collected, used and disclosed. With respect to the disclosure of customer information to third parties, certain reasonable steps have been taken by AMA GROUP LIMITED in order to ensure the fact that they are bounded by the privacy obligations and confidentiality regarding the personal information (Mamic2017).
- Stewardship- When the security and the privacy policies of AMA GROUP LIMITED are reviewed it has been seen that there does not exist any kind of stewardship principle. So there is an essential requirement of implementation of the principle that is require by AMA GROUP LIMITED in order to appoint the officers who are relevant in order to create the compliance by making use of this particular code. Additionally there is also a requirement of appropriate internal process which is to be developed and implemented would be helping a lot in ensuring and supporting the compliance related to the code. Along with this is also to be made sure that proper training is provided related to the handling practices.
- Enforcement- This principles is related to the compliance with this respective code that must be enforced by organization on a timely basis. The guideline that are issued by this code is to be implemented in an appropriate way. Besides this the enforcement of the codes is to be done properly as agreed by the organization (HarronGoldstein and Dibben 2015).
Task 2
Task 2.1
Exploratory data analysis (EDA) has been done over the data related to diabetes. Rapid Minor studio has been used for the purpose of doing this analysis. This is generally required in order have an understanding about the way by which the data gets fitted into the software along with understanding the way by which the process that is to be built. The first step of the process includes the importing of data in the rapid minor. This is generally done for the purpose of saving the data in the local storage. Once the importing is completed, the datasets are dragged into the layout section. This is mainly done for the purpose of getting connected to the output. The last step includes the clicking of the run button which would lead to returning of the datasets. This is done by the rapid minor associated by the basic statics and this hs been shown below:
Privacy and Security of data in AMA Group Limited
The analysis has been done in order to clean the raw data sets and in this case the datasets related to the diabetes has been used. The diabetes dataset consists of 8 independent variables along with a dependent variable. However it has been seen that all the variables are not always important and according to the analysis that has been conducted contains 5-6 variables. This 5-6 variables are very much useful in the process of predicting the variables which are dependent. The analysis has been associated with predicting symptoms related to diabetes.
In this analysis process the analyst has been associate with conducting a three step analyses. For the purpose of identifying the top 5 variables that are adequate. The identification of this variables are to be done in order to predict if the patient is having any kind of diabetes symptoms. Different kind of research works have been done for the purpose of determining the age, BMI, blood pressure, glucose level in body, insulin amount, and many more. All this are to be determined because this components acts as the key aspects that are mainly responsible for the purpose of determining the fact if there exists any kind of chances related to diabetes or not. The analyst has been trying to identify the variables by making use of the plotting scatter diagrams this is considered as the first step. The figure that has been provided in the appendix section helps in describing the scattered plots.
The plottting scatter diagrams [show in the appendix section] is not associated with providing of any kind of clear indication related to diabetes and for this reason so the analyst has conducting a correlation study that has been depicted in the figure provided below. The study has been clearly indicating the fact that there exists 8 independent variable which are mainly assoicated with the outcome variable (Dixon 2016). But the result has also been acting as a very helpful fact which is responsible for showing the fact that the thickness of the skin as well as the blood pressure has been very much helpful in indicating the negligible positive that is having a relation with the dependent variable. Due to this reason the two variables has been excluded from the list and there remains 6 variables in order to conduct the further analysis.
The correlation analysis provides the analyst with 6 variables which are totally independent which initially helps in conducting the further research. The effectiveness is to be ensured by making performing the chi square test which can be considered as the last step of the EDA. The figure below depicts the weights of each variable that is provided by the test. This analysis along with excluding the two variables is also associated with excluding one another variable that is pregnancy (Burdon Siganto and Coles-Kemp 2016). From this the analyst becomes capable of identifying the five major variable that helps in indicating the diabetes level.
Decision Tree model and its process
Once the identification of the key variables is completed then the next step would be including the understating of the way that can be used by the analyst for the purpose of predicting the chances related to diabetes. The analyst is a part of the process and due to this reason the analyst is responsible for building the decision tree. The building of the decision tree would be requiring some modification in the existing set of data which is also done by making use of the different kind of operators that mainly involves the “Numerical to nominal”, “Set role”, and many more. Lastly the application of the “Decision tree” operator in the process, the analyst has been capable of building the decision tree.
The decision tree helps in indicating the fact that the glucose level is the starting point that would be helping in concluding to the fact that is there exists any type of chances related to diabetes or not. According to the decision tree if it is seen that the level of glucose is above 166.5 or equal to it, then it can be concluded that there exists chances of diabetes in a patient. Contrarily if it is seen that the score is below 166.5 then there is a need of conducting further analyses over the rest of the variables. From the decision tree it can also be seen that is the level is below 154.5 then it there exists no chance of diabetes (Brett et al. 2017). By this way it becomes easy for the analyst to predict the chances of diabetes by making use of the decision tree.
The analyst is the part of the process ad for this reason the analyst performs the logistic regression, and this has been shown in the figure provided below. Besides this the analyst has used the weka extension in rapid miner in order to perform the logistic regression analysis. In a similar way the incorporation of the operators have been done which has also been shown in the figure provided below. The figure which shows the results depicts the coefficients as well as the odd ratios. The odd ratio are mainly responsible for comparing the occurrence of the outcome in the presence of particular exposure with the outcome in the absence of the exposure. So it can be concluded that if any of the value is greater than 1 then it would be responsible for with indicating the direct association, and if the value is less than 1 then it would be showing the indirect relationship (Boubaker and Nguyen 2014). From this it can be stated that the insulin level is having a direct relation with any kind of chances related to diabetes.
Comparison of Decision Tree and Logistic Regression models
The two processes that has been discussed in the above section of the report is associated with providing insights that are sufficient in order to predict the chances of diabetes. This is mainly done by using the five independent variables that has been selected. The analyst has also conducted a comparison between the performance of bth the models. In order to conduct the comparison the analyst has been associated with reviewing the decision tree and the logistic regression models. The analyst have also incorporated few additional operators that includes the Cross Validation Operator; Apply Model Operator and Performance (Binominal Classification) Operator in the final data mining process models. Several performance matrices have been considered by the analyst and this matrices mainly includes the Accuracy, Miscalculation Rate, True Positive Rate, False Positive Rate, Area under Roc Chart (AUC), Precision, Recall, Lift, Sensitivity, F Measure.
The three figures that has been shown below is associated with depicting the processes which are built for this analysis:
The figures that has been given above depicts the confusion matrices and also the Area under Roc Chart (AUC) for both models. The table that has been provided below shows the the table comparison between both the models and conclusion in order to determine which model is better in terms of those performance matrices.
The table provided above depicts the comparison analysis and this is mainly based upon the selected performances matrices. As per the logistic regression a better prediction has been provided regarding the decision tree analysis.
The graph which is shown below depicts the impact of aircraft strikes on the wildlife over time for Idaho. In most of the cases it has been seen that there exists no impact on the aircraft, which means that the running of the journey of an aircraft exists without any existence of issues. The graph also depicts the existence of a significant amount of precautionary landing which has mainly occurred due to reason like the wildlife strikes.
In the figure provided below depicts the various phases of the flight in accordance to the time of the day along with depicting the time when wildlife strikes the aircrafts. From the graph it can be concluded that in the approach phase, at the day time the wildlife strikes were taking at a high rate and this was followed by strikes at the night time. After the approach phase, the most strikes occurs during the time of landing and take-off during day time.
Analysis based on Diabetes Symptom Data
The figure that has been provided below shows screen capture from the Tableau View and this screen capture shows the comparison between the wildlife species in order to detect the frequency of aircraft strike along with the chances which are related to the occurrence of damage. According to this, a medium size unknown bird has caused most frequent strikes. The total damage is around $69,54,217.
The table that has been provided below depicts the Tableau GeoMap View which is associated with showing the flights along with displaying the number of wildlife strikes and the total monetary cost that is required by each origin state during various time periods. The table that has been provided below show that the maximum number of strikes occur in California
In order to designing the dashboard there exists the need of understanding of the data that is essential for the visualising process. Along with this the variables which needs to be shown in terms of graph are another key aspect which is needed while working on dash boarding. It has seen that a dash board become point less and this simply happens because of selecting the graphical view of any particular aspect. For this case, while designing the AWS dashboard, the analyst has been associated with choosing each graph view with care in order to make sure that all the aspects that were asked in different section can be presented properly and the viewer can easily comprehend the message that this dash boarding is providing.
References
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