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ITECH7407 - Real Time Analytic - Data Analytics Assignment - Federation University, Australia
This is a business analytics project aimed at generating innovative analytics solutions for a Company. The objective is to analyze the given datasets from a relevant firm's perspective in terms of implications and strategies which the chosen company could adopt to improve its functions, resources and processes efficiently and effectively.
Task 1- Background information - Write a description of the selected dataset and project, and its importance for your chosen company. Information must be appropriately referenced.
Task 2 - Perform Data Mining on data view - Upload the selected dataset on SAP Predictive Analysis. For your dataset, perform the relevant data analysis tasks on data uploaded using data mining techniques such as classification/association/time series/clustering and identify the BI reporting solution and/or dashboards you need to develop for the operational manager of the chosen company.
Task 3 - Research - Justify why you chose those BI reporting solution/dashboards/data min ing technique in Task 3 and why those data sets attributes are present and laid out in the fashion you proposed (feel free to include all other relevant justifications).
Solution - Introduction
The business analytics is the study of data through the various statistical analyses of various operation analyses, various predictive model, and application of optimization process and communication of the various customers, business partners. It requires the various quantitative operations for evidence based data for the decision making in business fields. The analysis of the answer provide by the business intelligence. The business intelligence is first step of the organization to make the data driven process and get the accurate data. It is answer what happened in the business with various situations. The business analytics includes reporting, automatic monitoring process with the alerting system and creation of the dash board. This will be created for the purpose of the statistical and quantitative analysis, predictive process, data mining and various techniques (Crockett, 2013).
For this process we take the data set from the public domain for the various predictive analyses. The data set is based on the marital status of the country which is used to handle the information. For the prediction process here used the tool is SAP. Using the various techniques in the prediction of the data set produce the result.
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The data set consider for the process is based on the distribution of men and women by current marital status, according to age factor analysis. The United Nations, Department of Economic and Social Affairs Population Division, Fertility and Family Planning Section areproducing the data result according to the marital status of men and women. This may change to various results according to the organization (A. Metzger, 2012).
The organization is used the data set into the SAP tool and predict the various prediction result according to the need of the organization with various analysis. This result support to analyse the future prediction related to the marital status which is help to the organization to take decision.
The analytics reports bring the smart decision making process for the organization. It is also support to bring the insights for the organizations. It helps to user to analyse the how much the mission statement is achieved by the organization level.
It provides the clear insights through the various virtualization representations of the organization needs according to the various processes. It helps to update the result dynamically because today the marketing environment is changed dynamically in the business scenario. The visualization representations are may be present in the various formats like chart, graph, map, bubble and other representation also. Analysis the efficiency of the process with various analytic reports is according to the difficult (A. Metzger, 2012).
Benefits of the using the SAP tool
The benefits of the SAP tool using the prediction process are very easy. The SAP is supporting for the automatic analysis of the various data set. Ithas the following features in the various dimensions.
- It is easy to support integrate of the various data sources and also that is provide various prediction using the tool in the various ways (B.Nedelcu, 2013).
- It provides the advanced modelling capabilities of the various analyses this will be managed by the all user.
- The cloud offers various modelling for analysing the future of the organization related to the data set chose is martial information of the population.
- It supports the live data connection that is provide the data connection between the various domain related to the organization process.
- Integrating the various digital board rooms using the different virtualization representation of analysis.
- It supporting the various report structure related to the organizations.
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Predictive analysis using the SAP Tool
The main objective of this process is analysing the data set using the SAP predictive analyses with various result of the organization. The predictive process will be different according to the selection of techniques.
First the data set is uploaded into the SAP tool then it is apply the various methods available in the tool. The options are available in the SAP tool is modelling
It shows the data set uploaded into the SAP predictive analysis with various predictions. Then next process is analysing the data with manipulation. Before applying the data set we have to analyse the originality of the data. The originality will define the accuracy of the result set done by the prediction process in the SAP tool (Ivan, 2015). The measurement is generated using the report generated according to the different analysis. This may change depends on the value chose.
The automated analysis in the prediction tool is done with the modular creation. The modular process contains the classification or regression model with various predictions. The result of the model is applied to the next process. The next process is considered with the clustering model that is used to generate the group of data related to the organization needs. After clustering process if we need any time series analysis process that is applied to the data set for predicting related to year or any other timing process.
Finally it is associated with various modelsand then it predicts the result of the marital status of men and women. It is help to analysis the current status of non-married people that is provide the support for the government to give various schemes to the people.
This prediction is support to the business analytic process with limitation of the organization issues. The organization is used the data set into the SAP tool and predict the various prediction result according to the need of the organization with various analysis. This result support to analyse the future prediction related to the marital status which is help to the organization to take decision. Now a day the organization decision plays the important role of the outcome of the organizations.
The dashboard is created using the SAP tool that may be analysed with the various analysis of the data set. The prediction depends on the attributes involve in the data set related to the difficult analysis (MikeW, 2013).
The above analysis shows the information of the various values according to the married factors. The ratio of the male people who is having the single status is 91% in the age of 15 - 19. The ratio of the male people who is having the married status is 8% in the age of 15 - 19. The ratio of the male people who is having the widow status is 0% in the age of 15 - 19. The ratio of the female people who is having the single status is 50% in the age of 15 - 19. The ratio of the female people who is having the married status is 51% in the age of 15 - 19. The ratio of the female people who is having the widowed and divorced status is 91% in the age of 15 - 19.
The above table shows the dashboard analysis of the table with the value men and women who is not currently married in the particular year. The year may vary according to the selections. The year with various aged group is analysed with different predictions.
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The following visualization representation shows the comparison prediction result of the Status of Afghanistan country with three types of aged group. The age group of the people is analysis with different kind of the measurement along with various analyses of data. This may execute with the various analysis and prediction of SAP tool.
From the diagram we can analyse that the year 1973 what is the status of the men and women with various category along with age comparison. The ratio of men people who are in the single status with the age group of 15 - 19 is 92%. The ratio of men people who are in the Married status with the age group of 20 - 24 is 30%. The ratio of men people who are in the widowed status with the age group of 25 - 29 is 1%. The men people do not have the divorced status.
The ratio of men people who are in the single status with the age group of 20 - 24 is 68%. Then the ratio of men people who are in the single status with the age group of 25 - 29 is 39%. Again we compare with the other aged group of the people that is the ratio of men people who are in the married status with the age group of 15 - 19 is 9% The ratio of men people who are in the married status with the age group of 25 - 29 is 59%. The ratio of men people who are in the widow status with the age group of 15 - 19 is 1%. Like that the men status prediction is done by the tool analysis.
Now we consider with the women stats of the various aged group. The percentage of women who are in the age group of 15 -19 with single and married status is 50%. The percentage of women who are in the age group of 15 -19 with widow and divorce status is 1%. Now consider other age group that is the percentage of women who are in the age group of 20 -24 with single status is 12%. The percentage of women who are in the age group of 20 -24 with married status is 88%. The percentage of women who are in the age group of 20 -24 with widowed status is 1%. Now consider other age group that is the percentage of women who are in the age group of 25 -29 with single status is 5%. The percentage of women who are in the age group of 20 -24 with married status is 92%. The percentage of women who are in the age group of 20 -24 with widow status is 3%. Like that various group of the people analysis with various status (Pokorádi, 2012).
Justification of the dash board
This is dash board creation is strongly justified that it is fully supported for the organization for the prediction of future analysis related to the people status. Using the result the organization sector can easily predict the current people status and also analyse the various stage of people in the history of years and identified the cultural change. This cultural change how affect to the organization sector in the various ways that will be analysed. This may change according to the data selected for the processes.
Now consider another prediction process using the dashboard with various analysis of the process related to the sector analysis.
The above graph shows the difference between the various factors involve in the cultural analysis related to the marital status. This may change according to the factors selected. The analysis of the process in the prediction methodology is supported the organization in various ways. Form the analysis find out the result is the middle aged group of people is mostly married and some of the ratio of people the got married in the young age. This may change according to the various prediction statuses. Analysis done through the tool is various way of the virtual representation along with the future prediction.
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Task 4 - Recommendations for CEO - The CEO of the chosen company would like to improve their operations. Based on your BI analysis and the insights gained from your "Dataset" in the lights of analysis performed in previous tasks, make some logical recommendations to the CEO, and justify why/how your proposal could assist in achieving operational/strategic objectives with the help of appropriate references from peer-reviewed sources.
Recommendation to the CEO - This dash board is strongly recommended to the various organization related to the cultural analysis with marital status. It is support to predicate the future of the organization in the various processes. The future prediction support to the different possible way of the outcomes will happen that will be analysed. This is provides the dynamic changes on the organization decision making process. From the above analysis we predict the current scenario of the people with various statuses along with number of improvements. The organization can utilize the dashboard and improve the status of organization in the various levels.
It shows that the percentage of risk factor is presented in the various categories that is married, widowed, divorced with never married and living with partner like that. The process of analysis with various categories is considered to the various factors.
The various numbers represent the married, divorce, widow and unmarried people status. In this scenario the representation using the various analysis will be find out the different measurement. This may be difficult with different analysis. Now we consider with the age group is 40 to 44. This most of the aged people got married so the single status is very less. That indicates that the single status of the aged people like the age 40 - 44 having the percentage of 8%, the age 45 - 49 having the percentage of 3%, the age 50 - 54 having the percentage of 2% and other aged people is 1%. Like that above analysis provides the support of the various measurements.
Now consider with the married status the aged people are mostly married so the married status is high in the following age factor. The percentage of people who is under the age category 40 - 44 with married status is 87%. It will vary according to the age factor analysis. The percentage of people who is under the age category 45 - 49 with married status is 88%. Other set of person that is the percentage of people who is under the age category 50 - 54 with married status is 87%. The percentage of people who is under the age category 55 - 59 with married status is 88%. The above 59 age group of people percentage will reduce because it will go with the category of widow. The percentage of people who is under the age category 60 - 64 with married status is 70%. The above 65 years also will reduce the percentage of the people who is in the category of married.
All this measurement is done with the men category the same thing will done in the women category with the various year wise analysis related to the different factors.
The map representation is one of the advantage of the SAP tool to show the various country involve in the analysis with map presentation.
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The various country show the information of their status in the various category this may processed under the SAP tool analysis. The process of analysis with measured value is showed differently. The country Afghanistan has the majority of people who is under the category of married status compare with Algeria. The country Austria compare with Bahrain the Bahrain has the majority of people who is under the category of married status. The country Belgium compare with Brazil the Brazil has the majority of people who is under the category of unmarried status. The country China compare with Colombia the china has the majority of people who is under the category of married status. The country Island compare with Guyana the Guyana has the majority of people who is under the category of widowed status. The country France compare with Gabon the France has the majority of people who is under the category of married status.
Like that various countries are compared with their status of the people with different aged group of people. This prediction results provide the various support of the organization that need to measure the culture with people living status (SAP, 2014).
Task 5 - Cover letter - Write a cover letter to the CEO of the chosen firm with the important data insights and recommendations to achieve operational/strategic objectives.
Cover letter - The business analytics is process of predicts the result in the various dimension related to the different key elements. The key elements are chose by the organization for the various purpose of decision making process in future. The decision making is not the easy one because the statistic report is business is dynamically changed. So using the historical data we can predict the some assumption related to the incident happened. Depends on the incident result the prediction will carry over the progress. The measurement of the incident is based on the quantitative analysis of the data set (Metzger, 2015).
The data set play the important role of the prediction. Before applying the data set into the field thoroughly analysed and removed the outliers of the data set process. This may change the result accuracy related to the data originality. The analysing of the data originality is risk process. This may recover from the existing historical data.
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All the processes are concentrating with the organization improvement along with necessity information. This prediction is used to analyse the cultural change of people related to the living status. The organization who is having the production related to the culture can utilize this dash board effectively.
This analysis made with SAP tool and applying the automatic analysis strategy involve in the SAP tool. The dash board created in this tool for providing support to the organization.
Now a day the business analytics is the emerging field in the industry sectors. The analysis may do using the various tools that may change according to the prediction techniques. It requires the various quantitative operations for evidence based data for the decision making in business fields. The analysis of the answer provide by the business intelligence. It provides the supported for the organization for the prediction of future analysis related to the people status. Using the result the organization sector can easily predict the current people status and also analyse the various stage of people in the history of years and identified the cultural change. This cultural change how affect to the organization sector in the various ways that will be analysed. The decision making is not the easy one because the statistic report is business is dynamically changed. So using the historical data we can predict the some assumption related to the incident happened. Depends on the incident result the prediction will carry over the progress.
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