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Implementing Ecological Issues on Business Intelligence Dashboard

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Added on Ā 2023/04/04

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AI Summary
This project focuses on implementing ecological issues on a business intelligence (BI) dashboard for data analytics. It explores the impact of carbon dioxide on the environment and the solutions provided by SAP analytics. The project covers descriptive and prescriptive analysis, as well as a prototype of a dashboard. It also discusses the design of a mobile application for environmental issues.

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Data Warehouse and
Business Analytics

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Executive Summary
The main goal of this project is to implement the ecological issues on business
intelligence (BI) of the data analytics dashboard. The creating and analysing
dashboard application they can used for the two stages of the methodology that are
includes the Prescriptive and Descriptive analysis. The analysing on the business
intelligence they mainly focus on the ecological issues on the SAP business object
they can identified the climate change of the carbon emission and prediction analysis
of the idea or efficiency of SAP trading capacity is the ability to define sketch from
valuable reactions on the efficient issues. The main process of the business
intelligence they can implementing the market execution of the data analyticsā€™ on the
business level to be investigated.
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Table of Contents
1. Introduction................................................................................................................................3
2. Identified Environmental Issue as a Problem....................................................................3
3. Carbon dioxideā€™s Effect on the Environment.....................................................................4
4. SAP Analytics and Business Intelligence Solutions........................................................5
4.1 Descriptive Analysis........................................................................................................5
Dashboard..................................................................................................................................5
SAP Analysis.............................................................................................................................7
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4.2 Prescriptive Analysis.......................................................................................................8
Dashboard..................................................................................................................................8
SAP Analysis.............................................................................................................................9
4.3 Prototype of a Dashboard.............................................................................................11
5. Mobile Applicationā€™s Design................................................................................................12
6. Project Justifications.............................................................................................................14
7. Conclusion...............................................................................................................................15
References.......................................................................................................................................16
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1. Introduction
A business intelligence (BI) dashboard is used to perform business examination
to help find the environmental issues. Analysis-acquired intelligence should be
distributed to the right people in the correct analysis, if the analytical performance is
the main functionality factor. The future vector of the PI will be designed by its
newcomer. In their personal and professional life, Internet users have adopted
interactive computing policies and have come to demand more customer-friendly BI-
tools. Business intelligence and it provides insight, an enterprise service on the
business intelligence. The ecological issues on the predictive analysis they can use
for the valuable knowledge on the efficient issues. The data analytics on the
biological issues on the dashboard they can specified the recreation planning games
insights the issues of the model. The perspective analysis of the ecological issues
they can follows the different kinds of climate change on the carbon emission that
are denoted as, Loss of biodiversity, Deforestation, pollution and waste disposal on
the environment affects, on the natural issues. The biodiversity of the analysing
environment climate change on the global warming of the natural issues. In this
report the human effects on the environment resulting in environmental issues has to
be investigated by using the Business intelligence dashboard application.
2. Identified Environmental Issue as a Problem
The business intelligence of the environmental issues which is used for
analysis and reduce the green gas on carbon dioxide emission of the global warming
on the world earth climate change environment (Bag, n.d.). The global warming on
the environmental issues of greenhouse gas is a gas that emits the radioactive
energy within the heat infrared. Greenhouse gases have a greenhouse effect.
Primary greenhouse gases in Earth's atmosphere include steam, carbon dioxide,
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methane, nitrous oxide and ozone. Many people believe that global warming and
climate change are similar, but scientists describe the complex changes that affect
our planet's weather and climate settings are preferred to use "climate change".
Climate change is not only the rising average temperatures, but also of extreme
weather events, between wildlife and habitats, between the rising seas and other
impacts. Heat in the atmosphere on the carbon emission on the climate change
environment of the business intelligence dashboard on the environmental issues on
the global warming system.
Environmental issues are harmful effects of human activities in a biological
environment. Environmental protection is a practice that protects the natural
environment in private, organizational or governmental levels for the benefit of
environmental and human beings. Nowadays the analysis on the climate change
environment issues they can specified the lot of problem on the human activities.
The identified the environmental issues that are includes volcano erupts due to the
acid rain, causing rotting plants and sulphur dioxide and ocean sprays that create
fire, chocolate toxoid and lighting nitrogen dioxide (Anoshin, n.d.). The population of
the current environmental issues they can follows the two stages that are include the
air population and water population. The air population on the environmental issue
they can denoted as the, oil spills, and ocean dumping. After that analysis on the
climate change on the natural issue they can identify rapidly occurring results of
human activities that cause global warming, greenhouse effect, urban heat, and coal
hazards and harmful hazards. The identified the climate change is not only the
weather condition is depends on the larger and harmful effects on the environmental
issues. The affecting the current natural issues they can analysis and identified on
the population growth, noise population, air population, land population, on the
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Safety measures for safety and protection of environmentally valuable natural areas,
genetically modified foods and global warming for the protection of destructive
organisms.
3. Carbon dioxideā€™s Effect on the Environment
The impact of the carbon dioxide they can analysis of the environmental issue
they can follows the three ways that is denoted as the society, natural system on the
global warming, they can contribute on the climate change identified on the carbon
emission system (Bakhshaliyeva, n.d.). The impact range of the climate change on
the world, it can bring positive effects such as long growing seasons and moderate
winters. The analysis on the business intelligence they can use for the atmosphere
on the both natural and ecological issues on the human activities. The impacts on
the carbon emission on the environmental issues identified the three different stages
that are include the Global warming on the temperature or atmosphere, and ocean
acidification, and carbon fertilization on the vitality of the social environment
(Blackstone & Christian, 2010).
4. Analytics and Business Intelligence Solutions
4.1 Descriptive Analysis
Descriptive analytics provides a usual form by using business intelligence and
data analytics, necessary facts and statistics in an understandable form seek to
provide a picture or "abstract view" (Baesens, n.d.). It uses two key techniques to
report the previous important event, namely data collection and data mining. It
provides the last data in an easy digestive form for the benefit of climate change of
the environment issues on the dashboard business viewers. Descriptive analysis of
the teams, population and assets throughout the area to capture improved
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intelligence for operational efficiency. In today's business environment, McKinsey
said Data Analytics had three major obstacles to the lack of corporate strategy, lack
of contact management, and lack of accessibility. Another report is that supply chain
mapping (SCM), manufacturing plant sensors and GPS vehicle surveillance, of the
business intelligence and identified the business environmental on the historical data
on the prevalent information on the effective clarification on the acknowledge they
can focus on the carbon dioxide emission on environment issues on the dashboard
application that can implements on the future benefit (Chabert, Forster, Tessier &
Vezzosi, n.d.).
Dashboard
The BI dashboard application can analyze the data on three different ways that are
include the environmental issues, ecological issues and natural issues on the dash
board application. The analytics on the key maker on the environmental issues they
can dependents on the graphical and benchmark of the current atmosphere on the
dashboard application (Chabert, Forster, Tessier & Vezzosi, n.d.).
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The presenting the business intelligence dashboard they can specified and
identities the state wise market data analysis of the environmental issue, In America,
to analysis the climate change of the carbon dioxide analysis on the bench mark they
can denoted as 35,600, and total environmental analysis is 2, 812, 5675. Many
months ago 7 to 8 hours were 7.45%, and 6 to 10 hours of strength use 20.12%.
From 7 to 8 hours, the existing properties range from 8.25% and 6 to 10 hours
100%. Average monthly temperature is 59.89 0F (Pyne, Rao and Rao, 2016).
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SAP Analysis
In 2012 to 2016, to be analysing on the SAP business object on the carbon emission
they can used for the excel databank and identified the carbon emission on 2013
and 2016 let as denoted the 545 & 380 kilotons (DuttaRoy, n.d.).
4.2 Prescriptive Analysis
The prescriptive analysis of the environmental climate change Models used to
manage, organize, and guide the regulatory guidelines or structures for how software
development works should be conducted (Czernicki, 2010). Prescriptive Forecast
analysis is the branch of advanced analysis, used to make predictions about
unknown future events. Computational analysis uses several techniques from data
mining, statistics, modelling, machine learning, and business intelligence to analyze
current data to predict the future (Miller, 2015). The prescriptive analysis on the
environmental changes of the dashboard application they can follows the outside
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environmental of the business intelligence data analysis of natural issues
environment (Pope, 2017).
Dashboard
The BI of the dashboard that used to see farsighted exaction metric. The
business information knowledge of the dashboard which has used for the reporting
execution system. The specified the structure of the dependability and the track of
information is conveying in the reaction. In such case, there must be an event of
ready-made controls, where the insightful reaction will be provided (Daithankar &
Pandit, 2014).
Figure: Organizational energy Consumption
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Prescriptive analysis helps to execute the environmental issues of the
dashboard they can follows the four levels of the consumption that are includes the
craft trade service, industry, private sector, and traffic sector and find the total
consumption of the environment issue is 48.00B. In Jan 2016 to Dec 2016 they can
defined the future environmental issues on the energy power cut and aver duration
of the sales sector they can denoted as $ 47.97B of the energy sources on the
natural environment (Inmon, 2011).
SAP Analysis
SAP Predictive Analytics is business knowledge programming from SAP that
is intended to empower associations to break down enormous informational
collections and foresee future results and practices (Abbott, 2014). For instance,
SAP Predictive Analytics can help comprehend huge information and the Internet of
Things by create Predictive investigation models to recognize unanticipated
chances, better get clients, and reveal concealed dangers (Walker, 2013). Prior to
building a Predictive model, in any case, examiners must change information into an
arrangement that the systematic motors can process. Generally this was finished by
creating contents and calculations physically and after that applying these to the
information (Barua, n.d.). This was frequently actually troublesome, routine and
mistake inclined. Thus, prescient analytics was performed essentially by very
specific information researchers. Like contending items from IBM, Oracle, SAS and
others, SAP Predictive Analytics is intended to robotize the procedure and make it
simpler for business clients and information experts to make Predictive models.
The most important clarifications which cause the increase of carbon dioxide
emission from vehicles is introduced with the help of SAP Business Object
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programming. The following graph is done using Excel examination with the SAP
objects (Chabert et al., n.d.).
BI Dashboard modifies the standard business bits of knowledge and programs
into rational functional matriculation cache. If a user clicks on a yearly section in the
exported dashboard first pie chart, the line will be copied to the target area that
corresponds to that cell in the source data. When modifying the changes in the target
location, the second pie chart is variant to replace the individual product sales for the
updated year. By using SAP dashboards, you can easily design dashboards with
many interactive charts, tables, and structural elements. Once the design is finished,
the complete interactive dashboard can be shared with others in many forms. The
Business Learning Dashboard Declaration uses significant performance functionality
with the system. Because this can handle information without a doubt-this
remarkable structure is the protection of the means of responding on the
environment issue on the dashboard application.
4.3 Prototype of a Dashboard
A design pattern of a dashboard is presented in this section. The dashboard
attributes are used to create reactions to problems. The dashboard is more likely to
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refer to the graphics framework with the legitimate gadget. This narrative is used to
manage data and to understand more data. The main focus of the use of a
dashboard includes monitoring, showing, and separating general executions of a
particular method in any guide.
The bar outline is seemed to break down the data (Janney.J & Roslin, 2018).
ā€¢ The option to test data is to be completed in the form of date, state, city
and country.
ā€¢ The site area is found, showing the type, name, address, country, and
domain (square feet).
ā€¢ Dashboard speaks of bio-use.
ā€¢ It illustrates the map showing the benchmarks, the energy usage of the
previous and present month, including the temperature.
ā€¢ In a dashboard, there exists a table.
ā€¢ The areaā€™s atmosphere is given.
ā€¢ Life usage is spoken up to kilowatt hours (Kw).
ā€¢ Key markers can be selected.
ā€¢ Environmental conditions could always be viewed in a dashboard.
ā€¢ Allocating the time with a dashboard in real time.
ā€¢ It is available for the non-stop information of a selected site with the of
Web Plan
ā€¢ Provides necessary information to the respective gadgets, for example,
flexible or job.
5. Mobile Applicationā€™s Design
A mobile application is created on environmental climate change and
emission of carbon dioxide to the data analytics application on the QR code
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dashboard of the business intelligence of the market level business of climate
change application that can shown in below (Rohini & Suseendran, 2016).
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QR code is attached here.
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6. Project Justifications
A possible approach to decrease the environmental issues are discussed in this
project proposal. To decreases the environmental issues by follows the below
process such as (Kimball, Ross, Thornthwaite, Mundy & Becker, 2011),
ļ‚· Utilizing carbon dioxide holding plants along with the mechanical
assembly.
ļ‚· Maximize the impacts of vitality wastage.
ļ‚· Take the devices like adventure on checking the vitality adequacy of the
machines used in the business or organization.
ļ‚· Utilise the vitality intensity efficiently.
ļ‚· Use authentic projects for decreasing the overall release of carbon dioxide
from different sources.
The business intelligence is provide the plan which can use the data mining
technique to analysis the environmental data to provide the expected outcomes
where the environmental data is considered later, and the basic improvements could
be take place (Das, 2014). It is used to provide a best solution for the environmental
issues and in the dashboard it increases the value of data via, the data portrayal
decision. A dashboard is used to provide an effective decision making to arrange the
complex environment to understanding the environmental data and it also provide
the visualization of the environmental data which is used to provide the effective
decision making for an environmental issues. The Implementation of dashboard is
used to improve the organization business to examine new business process for an
organization (GARCIA MARQUEZ, 2016). The enhancing dashboard is also used to
helps in streamlining the essential initiative process of an environmental issues in the
organization. This dashboard is used to check and manage the organization
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application by using the BI. The dashboard is important and innovative plan which is
used for isolating from the rest of the individuals who lose.
A developed dashboard is used to displays its competence in light of its
perspectives to evaluate the effects of the environmental issues by using the
provided environmental data. In a dashboard, ETO could be modified as per the
needs to modify Tran theoretical Model. During the improvement period that are
utilized for a change from a specific organization. A dashboard is also used to
provide reliable part of an organization, which is necessary to be overseen routinely.
The scorecard refers to viewing single or multiple parts of the data pool. It is a place
for a dashboard to get the necessary details (Isson and Harriott, 2013).
It is used to have success in looking at the ability between the organization,
people and times. Similarly, a scorecard and a dashboard contributes to display the
necessary information at a required point. Consequently, such a part of a dashboard
can cut through the data reams to pass on just great data highlights, which are used
to provide the effective outcomes for decreasing the environmental issues on the
organization. The dashboard tool is backs in perceiving what is going on and where
the advantages should be occupied joins the thrust dashboard and scorecard. It
provides useful realizing that allows the customers to serve effectively and it
recognizes and repeats the recommended systems. Dashboards have more value
as they even contributes to build an extraordinary form to collect effects that confirm
the advantages of WIA specifying and increases helpful actions (Nabavi and Olson,
2019).
The created dashboard is related to the various sort of data. Especially, a
dashboard provides a minute data show with a graphical representation and
visualization, which issued to provide the easy to understanding of the provided data
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and it make the expected decision to decreases the environmental issues on the
organization. This methodology of a dashboard chooses the objectives and the
agent could check the accomplishments and disappointment. Any modifications
could be done to upgrade the result in the future.
7. Conclusion
This report has focussed on assessing the effectiveness of business
intelligence in the global environmental process across three different fields and
compares comparative analysis to use different functions across all three fields. The
study confirmed that there is a difference between dashboard performance and
applications across different fields. Results of measurement data suggest there is no
significant difference between the dashboard performances. The information is
average response and marker and authorized. The Gujarat Interview Replies
indicate that users who have tested the results in the limited access and response
rate of the data port are not happy. Also, using data filtering efficiency function was a
statistically significant difference. Information of the business intelligence used the
function more as compared to perceiving the essential execution markers. The use
of functionality compared to the essential execution of business intelligence. The
administration's environmental dashboard varies. In conclusion, this review has
helped identify the difference between the three different and more identifier extra
features that the dashboard must include improving its various performance and
performance. In addition, the joint trading process has created an impact on CO2 of
the business intelligence market analysis on the climate change environment will be
completed.
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References
Abbott, D. (2014). Applied predictive analytics. Indianapolis: Wiley & Sons.
Baesens, B. (n.d.). Fraud analytics using descriptive, predictive, and social network
techniques.
Bag, D. (n.d.). Business analytics.
Bakhshaliyeva, N. (n.d.). SAP Predictive Analytics.
Barua, A. (n.d.). First Steps in SAP Predictive Analytics.
Blackstone, W., & Christian, E. (2010). Commentaries on the laws of England.
[Charleston, South Carolina]: Forgotten Books.
Chabert, A., Forster, A., Tessier, L. and Vezzosi, P. (n.d.). SAP predictive analytics.
Chabert, A., Forster, A., Tessier, L., & Vezzosi, P. SAP predictive analytics.
Czernicki, B. (2010). Silverlight 4 Business Intelligence Software. New York: Apress
L.P.
Daithankar, J., & Pandit, T. (2014). Transportation management with SAP TM 9..
[New York]: Apress.
Das, S. (2014). Computational business analytics. Boca Raton, Fla.: Chapman &
Hall/CRC.
DuttaRoy, S. (n.d.). SAP Business Analytics.
GARCIA MARQUEZ, F. (2016). ADVANCED BUSINESS ANALYTICS. [Place of
publication not identified]: SPRINGER INTERNATIONAL PU.
Inmon, W. (2011). Building the data warehouse. Indianapolis: Wiley.
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Isson, J. and Harriott, J. (2013). Advanced business analytics. Hoboken, N.J.: John
Wiley & Sons.
Janney.J, B., & Roslin, S. (2018). Classification of melanoma from Dermoscopic data
using machine learning techniques. Multimedia Tools And Applications. doi:
10.1007/s11042-018-6927-z
Kimball, R., Ross, M., Thornthwaite, W., Mundy, J., & Becker, B. (2011). The Data
Warehouse Lifecycle Toolkit. Hoboken: John Wiley & Sons.
Miller, T. (2015). Modeling techniques in predictive analytics. Upper Saddle River,
NJ: Pearson Education.
Nabavi, M. and Olson, D. (2019). Introduction to business analytics. New York:
Business Expert Press.
Pope, D. (2017). Big Data Analytics with SAS. Birmingham: Packt Publishing.
Pyne, S., Rao, B. and Rao, S. (2016). Big Data Analytics. New Delhi: Springer India.
Rohini, K., & Suseendran, G. (2016). Aggregated K Means Clustering and Decision
Tree Algorithm for Spirometry Data. Indian Journal Of Science And
Technology, 9(44). doi: 10.17485/ijst/2016/v9i44/103107
Walker, M. (2013). Software development on the SAP HANA platform. Birmingham:
Packt Pub.
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