ITECH7407- Data Analytics Assignment Help

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 mining 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).

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. 

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 

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Introduction

Data analytics is the process of collecting and converting unstructured data from different sources and places and it is made available to the entire analyst and finally data is delivered to organization business. There is large volume of data which is processed. Research institutions and private companies will use terabytes of data about social media business and other functions which came in to sea of data which arises as big data. Big data analytics has a lifecycle which follows a model called Crisp methodology. There are 6 phase in the life cycle listed as shown like Business understanding, Data Understanding, Data Preparation, Modeling, Evaluation & Deployment in which all the process are done in SAP prediction tool and results are predicted based on the attributes in the dataset.

Initial phase deals with the understanding of objectives and knowledge which is converted in to problem definition. The second phase is data understanding which deals with data collection and the quality can be examined to discover some of the insights of data. Third step is the data preparation step which depicts the final dataset which is put in some visualization tool to extract the result. This performs attribute selection, and cleaning of data to remove the noise. In this phase various modeling techniques are applied over the data to get the optimal results. After the modeling process it is evaluated whether it meets all the business objectives. Based on everything it is deployed. A big data analytics consist of following process which is carried out to perform some prediction results. (Katerina Lepenioti, D. A, 2018)

- Business Problem Definition
- Research
- Human Resources Assessment
- Data Acquisition
- Data Munging
- Data Storage
- Exploratory Data Analysis
- Data Preparation for Modeling and Assessment
- Modeling

Business problem definition explains the business strategy and its functions. Once the problem is find, we need to do relevant research mechanisms for doing the business analysis. Data acquisition and data munging process is taken place to predict the accurate results and to provide a proper solution to the enterprise applications. Data analysis takes place to provide the feature result and some predictions in the dataset which is selected.

Data set

Dataset is chosen is related to the pollution control and causes .The main aspect behind this task is to select the dataset which consist of minimum 10,000 rows. With that the predictions are done using SAP software. It predicts the polluted area and it causes. Pollution is one of the main hazards which are causing some dangers to the humans and animals. Here we will analyze the main causes of pollution and its effects over the humans and animals. Data is selected based on that the predictions are done. Pollution mainly causes some lung diseases in animals and humans. Children under the age group of 1-12 yrs can easily affected by some primary diseases due to pollution causes. Many infections like cold, asthma are some of the diseases which are affected and relevant remedies should be taken to control the pollution and the caused diseases in the affected areas. (Metzger, P. L, 2015).

SAP tool and its features

Sap is one of the software which best suits for enterprise applications for doing the business predictions and application related processes.CRM is one of the example of SAP application which do end-end customer related process.SAP project life cycle is shown below in which initial evaluation based on the business is done and project preparation is done by the managers to cover all the requirements to design the blue print. After the blue print is designed business solution is designed and implemented. After the implementation process testing is done and the solution is made live to the client and in the future further support and maintenance service should be given. Once the application is made live client check all the requirements of the system and gives the feedback related to developed solution. Sap tool provides many business and enterprise related solutions with the real time data analytics.

It supports various features to work with the dataset and shows some relative prediction to the real time data in business applications. There are so many responsibilities for the admin like application server monitoring, system log analysis, database maintenance, database backup schedule and restore. We need to maintain the sap license. User should be capable of creating, copying, and deletion process, job scheduling, job monitoring, job deletion etc.Only admin is given all the rights in which all the user can have some access rights to day-day activities.

Overview of SAP prediction analysis

The predictions related to SAP is shown with the concept of segmentation. The manager wants to group the data in to several groups to make the prediction. Algorithm is used iteratively to group the dataset to make the predictions. These group mechanisms are used to cluster the dataset in to groups and with that the exploration of data and anomaly identification can be done with the prediction tool. This example shows the business case turnover of the company which predicts the analysis and prediction of various attributes and their factors. The predictions are base on some attributes which is selected data set.SAP tools is applicable to both small scale and large scale industries. Based on the application need it can be used by the user needs. There are several algorithms which is applicable for SAP prediction analysis which is applied to increase the turnaround time of the system. The below example explains the margin and turnover details of the company with the help of k-means algorithm.

The prediction here taken for analyzing the pollution causes in the areas and its hazards is shown with some eminent prediction which shown as graphs and tables. Here the data can be find out and it goes for the data cleaning process which helps to clear the noise and outliers in the data set which may be further used for prediction. The analysis can be done with any one of the visualizations. There are n numbers of tools available for visualization techniques. They are R, Rapid miner, Shark, SAS, SAP, and Mongo DB etc...Which are currently used in the real time applications like enterprise and research activity. In some cases there is in built tools available which shows the result of data analytics with a predefined manner. (Poornima Selvaraj, P. M., 2018).

Creating the predictive model of selected dataset and its analysis

The built in tool export the dataset and performs some analytical process which is used for prediction of future based results. One example shows the company enterprise applications which show the margin and turnover of the company which predicts the annual sales return process of the company

Likewise all the dataset can be imported to the visualization tool. The dataset selected is related to pollution and hazardous effects to animals and humans. It depicts the land with the toxins present in the land level and sea level to causes pollution. One of the pollution caused often is noise pollution which is caused by vehicles due to fuel used. The fuel used should be in good condition and also the vehicle engine should be s4 level to avoid the minimal pollution level. The graph shows the level of pollution in different manner which predicts the future result of the selected data set. The Data set consist of many attributes like ozone level,Diesel,Toxins,pesticides present in the land to show the land surface is affected by pollution.

Also there is an important attribute which shows the data level analytics and its experimental results in the real time data. The drinking water level should be in cleanup condition. Because it may causes some air borne related diseases which easily affects child under the category of 1-12 yrs because the immunity power may be less in those category of kids. So the pollution may be causing major damage to water by mixing unwanted materials in the water which mix in it and makes the water dirty. The above graph shows different type of pollution in land surface with the ph value affecting the total area. The proper remedies should be taken and again the analysis is performed to find the calamities of the system. It may be from different sources it should be analyzed and predicted with some prediction tool

Other types of pollution include water, air, noise and soil which all causes toxins to humans and animals...Especially plastics play a major role in pollution because it can't be recycled in an easy manner. Only the usage should be banned in all the places to reduce the pollution. When the plastic is burnt it causes a major effect to the land surface by showing the air related infection to humans and animals. (Vresk, T. a, 2016)

The above prediction shows the state wise details of the affected areas. First the Andhra Pradesh is shown with the number of predictions that can be made on pollution. However year by year the pollution causes are increasing in each state. Secondly Orissa plays a major role in the pollution contents because almost all the areas are with many numbers of vehicles which is moving from state to state. Followed by Uttarakhand, Kerala and Jammu Kashmir show the predictions of each country which is analyzed in prediction tool to depict the results. Many government organizations are taking steps to avoid the pollution and its hazards. The toxin gases present may affect the entire earth surface which result in damage of earth and its surface. The toxins can easily cause severe damages to liver and heart in most humans especially age old people. Proper care should be taken in order to avoid all this. (Liu X, 2016)

Justification of Dash board

The above prediction explains the pollution causes related to diesel and petrol and their calamities in the water based solvents. If the fuel is mixed with more crude oil it makes air pollution which causes lung diseases to humans. The drinking water may produce some bacteria which are unseen to the human eye when it is polluted more, so it should be avoided to take care that the drinking water should be protected in all the areas both in land surface and underground water. Mainly in the sea water plastics is mixed up to produce the pollution and its hazards. So the use of plastics and its products to be completely banned by the government and necessary steps should be taken to avoid these hazards. (MikeW, 2013).

The plants growing in the land should be cultivated naturally to avoid the soil pollution and it causes where the data taken for examination of water should be pure and it should not be modified by adding the chemical substance. Especially the plants which produce the vegetables and fruits should be cultivated without the chemical substance and its growth should not be spoiled by the chemical substance. It should come naturally to the people to avoid the health related problems to avoid in many cases. The underwater surface and the land should be protected with the natural manures and without the pesticides we should yield the fruits and vegetables. The prediction shown below explains the cleanup sites and their results in the affected area.

It clearly shows the pollutants in the ground water surface and threats happened due to the hazardous wastes in the water. When the underground water is polluted automatically the entire water surface can be affected easily by the hazardous substance in the water. It examines the important water bodies in the surface and predicts the maximum waste present in the water and the pollutants in the water should be removed. The ground water threats should be identified in all the places and necessary mechanisms should be taken to remove the impurities in the ground water level surface. The water level impurities can only be reduce when the waste are disposed properly. The waste can also be hazardous waste which causes more effects to the human bodies. So all types of pollution related problems should be rectified. It shows the percentage of area affected in all the places including the hazardous substance present in the earth surface. Proper analysis should be taken based on the attributes to rectify the problems.

The pollution burden is depicted in the column level prediction using SAP. In all the water surface solid waste plays a major cause for the pollution as it is showing the effects of pollution and its disadvantages. The pollution protection rules should be framed by the government to reduce the categories of pollution and its causes. The important water bodies should be protected for the avoidance of scarcity of water sources. Nowadays there are more scarcity in the water due to pollution causes water is polluted and it is wasted in some areas. The pollutants may cause problems to pregnant women by giving low birth weight child. The above prediction clearly depicts the scenario in all types of pollution causes.

Water may be sourced through different laces in order to get the necessary flows in and out of the states in almost all the places. The prediction based on this can be depicted in the visualization tool and shown the flow of pollution in each and every state of country. As country wise prediction can also be done with the help of data analytics which play a major role in this era of world. It shows the effect of low birth child due to some causes of pollution. Due to pollution it predicts the number of persons affected with cardio vascular diseases and it causes in the humans especially to age above 40 yrs. Because they are easily affected by diseases due to their less immune power and low energy. Due to some criteria all the factors in the attributes must be analyzed to show the results in different manner.

The pollutants may be solvable small substance which can be dissolved in water easily and make hazards to the human life. Polluted air causes so many bacteria in around the world, when the same air is inhaled by the people it causes some lung diseases which are not cured easily. The solvents in the water may be collapsed if the bacterial growth is more in and around the places of earth. Rain water may also be polluted if it is not harvested properly in a neat place. Due to water pollution Malaria, Dengue fever arises due to the dirtiness of water. Sometimes this fever even causes death if it is not treated properly. Nowadays medicines are available to cure these kinds of diseases but still it should be prevented. The water level may not be reduced due to the pollution causes and its affects but water may be get polluted due to the pollution causes. The water surface is get polluted by the chemicals and some waste disposals mix up in the water and causes health hazards. Several diseases are caused by pollution namely cardio vascular diseases and asthma which clearly depicted in the analysis .(Maggie Sparkman, M. B, 2018).

Recommendation to CEO

The dashboard depicts various types of pollution and its health hazards clearly in the SAP visualization tool. It mainly focuses on the polluted areas and its cause to humans and animals in different areas. Sap tools play an important role in predicting the experimental results in each cases of pollution in mainly underwater and sea level surface. In the business system certain recommendations is given to CEO to improve the system and control measures should be followed to reduce the pollution. Dashboard is mainly used to create the result based on the attributes in the dataset.

Cover letter

All the major factors in the data set are analyzed to predict the future result. Each and every analysis is done based on the pollution causes to humans and animals in the earth. Most all the living species is easily affected by the sources of pollution where the dashboard clearly predicts the result in a well disciplined manner. Pollution mainly causes respiratory related diseases in all the age group. Even the transport has to be reduced in order to avoid the pollution. Dataset used for prediction is with above 10000 rows which clearly depict the result in some cases of prediction. It is strongly recommended that the dashboard clearly predicts all the results in good manner. It also shows how the dataset is grouped to make the clusters and a selected algorithm is implemented to know the results of the dataset. For a problem a proper data should be selected in order to get the relevant prediction based on the visualization techniques.Certains recommendations are given to improve the system and dashboard with improvised results to the system.

Conclusion

The above predictions done using clearly show how it influences the real time data in enterprise and business applications. It creates a major impact on the technology and its crisis. Business intelligence techniques and algorithms are applied to predict the results. The data analytics process plays vital role in increasing the data and its prediction by showing the accurate results. The tool can provide in built results with some of the visualization attributes. The tool predicts the pollution related attributes and show it through the visualization. Also the diseases occurred through pollution to humans and animals can be predicted. Nowadays big data is a sea of data with almost all the techniques built in to support the features. It also gives the pitfalls in the analysis and remedy to overcome the pollution. Pollution control board should take necessary steps to control the pollution and causes of diseases.SAP is mainly used for large scale enterprise business applications and research purposes where the prediction can be made with the selected dataset and its attributes. Several predictions are shown for the pollution affected places in terms of different attributes. It is recommended that pollution based analysis can be done in SAP analytical tool which gives better prediction results compared to others. Sap provides an efficient and operational level solution to all the fields in the current industry

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