This report projects on the business analytics project, for generating innovative analytics solutions. The project will help the students to present their innovation and creativity in applying SAP Business Object or Predictive Analytics, for designing useful visualization solutions and to present the predictive models for various sorts of analytic issues. Environmental issues is the discussed topic in this report, by using the business Intelligence tool like, Dashboad. The important task of this report is to apply any of the analytical tools for developing innovative analytics visualization solutions and predictive models based on environment. For instance, water reduction, energy consumption, climate change, greenhouse gas emission, carbon footprint, pollution dashboard and so on.
The objective of this research is to have hands on experiences of using SAP Analytics tools for exploring, extracting and analyzing the data of the enterprise. Appropriate models will be drawn. Two different types of analysis such as Descriptive analysis and Prescriptive analysis will be conducted in this report. The prototype of the business intelligence will be designed for the application design. The key performance indicators will be analyzed using the Dashboard, which will be created using an appropriate tool. Depending on the BI analysis and gained insights with the help of data set, logical recommendations will be made to improvise the environment. Justification for the BI reporting solution/dashboard will be provided.
This case study is related to environmental issues. The environmental issues can be energy consumption, climate change, greenhouse gas emission, carbon footprint, pollution dashboard, and so on. In this report the business Intelligence tool like, Dashboad is used for the help. The purpose is to improve visualization related to analytics and to predict the data set depending on the environment. In this mainly water reduction is concentrated.
The senior executive is interrogated for making arrangements for the meeting with the board of association. Before, the commencement of this meeting, the senior executive is supposed to provide the prescriptive and descriptive analysis reports. The meeting will talk on the accessibility of database information and what monitoring and quick solutions can be supported for the encountered environmental issue. Therefore, the proposed system must be capable of finding the issues which are important to be noticed by the board members. Further, it needs analysis to act on the administration part for improvements in the environment. Therefore, this report will help the company’s senior executive for their meeting.
During 2000 to 2016, the United States of America’s energy consumption has increased. The year 2016 saw huge energy consumption, and has also resulted in high consumption of natural gas and petroleum. Moreover, the industry sectors has increased its electric power demands. (“U.S. energy consumption rose slightly in 2016 despite a significant decline in coal use”, 2017).
Figure: Energy consumption in the United States of America
The coal consumption has become low with 9% and has increased the renewable energies like petroleum, nuclear fuel and natural gas. The highlight is that the United States is largest energy consumer in the world.
Though electricity is clean and is safe comparatively with other forms of energy, the environment is affected due to the electricity generation and transmission. However, every single electric power plants has environmental impact, especially the certain power plants have higher impact. In the United States of America, the government has passed certain laws which see to it that the impacts of electricity generation and transmission are governed, to secure the environment. The Clean Air Act regulates the emission of air pollutant emissions from several power plants. Additionally, the U.S. Environmental Protection Agency (EPA) is present for administrating the same act i.e., Clean Air Act. This act is standardized base in the emissions for the power plants via, several programs like Acid Rain Program. The reduction of air pollutant emission has decreased to a larger extent due to the stress on Clean Air Act, in the United States of America.
The impact of power plants on the landscape is observed, where it determines that all the power plants contain physical footprint (i.e., power plant’s location). Certain power plants are relatively small because they are placed wither inside, on, or next to the existing building, which makes the footprint small. Certain power plants which burn solid fuels may have areas for storing the combustion ash. The power plants have large structure, which alters the visual landscape i.e., as much as the structure is larger, there are high possibilities that the power plant could have high impact on the visual landscape. (“Electricity and the Environment – Energy Explained, Your Guide To Understanding Energy – Energy Information Administration”, 2018).
The Business Intelligence reporting solution or the dashboards are selected, because it can help to map any data set and helps the users with the generation of reports, as per their needs. The simple thing about this solution is the reports can be generated with few mouse clicks. Even it is possible to go in-depth of the data for detailed examination of the report. BI reporting is an effective solution which is flexible and easy to use for differentiating with various dimensions of data that has to be analyzed in different forms like, tabular, chart, pivot, reports comparison and so on. It also provides several effective filters which could be applied for the analysis. Moreover, the reports of BI can even be automatically shared and emailed as Excel, CSV or PDF attachments. Additionally, the body of the email can even have embedded HTML. Thus, a group of users have report sharing facility (“Business Intelligence Reporting & Dashboards”, 2018).
For the business Intelligence reporting solution the prescriptive and the descriptive analytics are selected and are discussed in the below sections.
The Prescriptive Analytics utilizes optimization and simulation algorithms for advising on the possible results and answers. This analysis supports to find the answer of what has to be done next. Prescriptive Analytics provides advice for the possible outcomes. It helps to prescribe various possible actions, which acts as a guidance for the solution. Therefore, this type of analytics just provides good and effective advice. Prescriptive analytics tries to quantify the impact of the future decisions for advising on the possible outcomes, even before making any decisions. It generally not just predicts what would happen, however it also ensure to determine why it would happen and provides suggestions in terms of effective actions that can be implemented to resolve the problem. This type of analytics can be used anytime required for providing helpful advice for the users, for their problems (“Descriptive, Predictive, and Prescriptive Analytics Explained”, 2018).
The Business Intelligence dashboard modifies the traditional business intelligence reports and represents it in the form of predictive performance metric (“Business Intelligence Dashboard Examples”, 2018). For business intelligence dashboard reporting, the predictive performance reporting system is a method which follows process based tracking system as follows:
The below analysis represents the analysis of environmental issues which are determined, for the current year 2018.
The explanation of the dashboard is as follows:
The Descriptive Analytics helps to see the insight into the past. It is a statistic analysis which describes or summarize the raw data and helps it to easily interpret the data, in an understandable form. This type of data mainly describes the past, using the present data. In this analysis, past denotes a year or even one minute ago time period. The descriptive analytics are beneficial as it assists in learning important details from the past behaviors and comprehend how the behavior could influence the future effects or consequences. Wide range of statistics comes under descriptive analysis like, basic arithmetic sums, percent changes, averages and so on. The underlying data is applied with basic mathematics to know the count and aggregate of the filtered column of data. Basically, for calculating practical calculations, various statistics are available. The descriptive statistics benefits to represent the total stock in the inventory, average amount spent on each customer every year and for representing the changes in the sale. Generally, descriptive analytics reports deliver historical insights based on the organization’s financials condition, production, its operations, inventory, sales and customers (“Descriptive, Predictive, and Prescriptive Analytics Explained”, 2018).
The below analysis represents the analysis of environmental issues which are determined, in the year 2016.
The main indicators for analyzing the report in the dashboard are as follows:
The dashboard summarizes the business information in a simple view using various database sources, For instance, financial spreadsheets, HR statistics and operational performance.
Allow your management teams to monitor real time information and KPI’s easily, accessible from any location using a web browser. Set up target and performance based triggers to receive email alerts when your business is working to target or underperforming. The Dashboard reporting enables your team to drill down using dynamic charts. Providing rule based and divergent data exploration. This means the user can compare data from various divisions or separate entities of your business, in an understandable format, no more trawling through spreadsheets and reports in multiple formats, Choose graphs, charts or tables to suit your business needs and pull in the data from many sources.
The below mentioned image depicts the created dashboard.
Business Intelligence reporting solution is an information management tool. It is utilized for tracking the metrics, KPIs, and other important data points that are appropriate for the business or for any particular process. The data visualization in the dashboard simplifies the complicated data sets (“Business Intelligence Dashboard”, 2018).
The proposed business intelligence application system must be designed depending on the requirements of environmental issues, which as discussed in this report. The constraints must be validated with the issues and expenses of the environmental issues in a single year. The report must be generated on a yearly basis. The proposed business intelligence application design must investigate the performance of the environment improvement. This application should assist the Board members in evaluating the required budget. With the help of the dashboard it is easy to retrieve the required data and relate it with expenses. It can further provide accurate information on the exact environmental issues which need immediate solution. Additionally, the administrators can monitor the data. The application must help in providing help in decision making.
The Design of the prototype looks like a dashboard, which is utilized for developing solution for environmental issues. Basically, the dashboard is a graphical structure producing tool, which is utilized for data management and data visualization. The primary purpose to use the dashboard is tracking, showing and analyzing the complete performance of the specific process or an organization. The performance can be viewed based on daily, weekly, monthly, quarterly or on yearly basis. It contains the key performance indicators which are related to the organization’s key requirements.
The dashboard is explained in briefly, as follows:
The relevant laws and regulations imposed for the organizations, for consuming energy are reviewed.
It is observed that in the United States of America, electricity is generated with the help of various resources like natural gas, nuclear power and coal. Wind and solar energy are the fastest growing sources which are renewable in nature. Large part of the United States has its electricity generated at the centralized power plants. Though it is less but the production of electricity is increased through distributed generation.
The environmental issues can be decreased by increasing performance in the following areas:
Ensure to save the energy, which is the most important suggestion. It can be achieved introducing economical processes which can decrease the electricity bill amount, then by changing the behavior of the workers and by victimization many economical instrumentation.
This can also cut down much of the cost from the electricity bill and also help to conserve energy.
Invest on energy saving machines which are environmental friendly.
According to Business Intelligence analysis and the gained insights from the data set, for improving the environment it is recommended to:
Conclusion
As per the data visualization approach, an appropriately suitable decision support is selected. The objective of the analysis is met. This analysis helps to experience the usage of SAP Analytics tools with respect to data. Necessary application design model is found. Descriptive analysis and Prescriptive analysis are conducted. The prototype of the business intelligence is designed. Justification for the BI reporting solution/dashboard is provided. The key performance indicators are analyzed using the Dashboard. The dashboard is developed successfully and is explained. Based on the Business Intelligence analysis and gained insights from the data set, logical recommendations are suggested for improvising the environmental issues.
References
About the U.S. Electricity System and its Impact on the Environment. (2018). Retrieved from https://www.epa.gov/energy/about-us-electricity-system-and-its-impact-environment
Business Intelligence – Dashboard Reporting Solutions. (2018). Retrieved from https://www.cleardatagroup.co.uk/document-management/business-intelligence-dashboard-reporting/
Business Intelligence Dashboard. (2018). Retrieved from https://www.klipfolio.com/resources/articles/what-is-business-intelligence-dashboard
Business Intelligence Dashboard Examples. (2018). Retrieved from https://www.smartersolutions.com/business-intelligence-dashboard-examples.html
Business Intelligence Reporting & Dashboards. (2018). Retrieved from https://www.enhancedretailsolutions.com/business-intelligence-reporting/
Descriptive, Predictive, and Prescriptive Analytics Explained. (2018). Retrieved from https://halobi.com/blog/descriptive-predictive-and-prescriptive-analytics-explained/
Dutton, J. (2018). Energy Production and Consumption in the United States | EBF 301: Global Finance for the Earth, Energy, and Materials Industries. Retrieved from https://www.e-education.psu.edu/ebf301/node/457
Electricity and the Environment – Energy Explained, Your Guide To Understanding Energy – Energy Information Administration. (2018). Retrieved from https://www.eia.gov/energyexplained/index.php?page=electricity_environment
U.S. energy consumption rose slightly in 2016 despite a significant decline in coal use. (2017). Retrieved from https://www.eia.gov/todayinenergy/detail.php?id=30652
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