- Comprehensive Evaluation And Implementation Proposal For Business Intelligence Systems: A Comparative Analysis Of Power BI
- Task 1 (Introduction to Business Intelligence Systems and Power BI)
- Task 2 (The Role and Benefits of Power BI in Business Intelligence)
- Task 3: Report (Strategic Implementation and Impact of Power BI on Business Planning)
- Task 4 (Hands-On Business Intelligence Analysis Using Power BI: Insights and Visualizations)
Comprehensive Evaluation And Implementation Proposal For Business Intelligence Systems: A Comparative Analysis Of Power BI
Task 1 (Introduction to Business Intelligence Systems and Power BI)
SLIDE 1: Title
SLIDE 2: Features of Business Intelligence Systems
- Data Visualization: Interactive charts, graphs, and dashboards.
- Data Integration: Connectivity with diverse data sources.
- Advanced Analytics: Predictive and prescriptive analytics capabilities.
- Reporting: Customizable and real-time reporting.
Speaker note: BI Solutions employ complex features to help turn raw data into more applicable knowledge. Among its features, one has to mention data visualization enhanced with the possibility to interact with the data, including both charts and dashboards (Bharadiya, 2023). Complementing the various other types of data, it can be integrated effectively for analysis purposes. It gives complex evaluation with predictive and prescriptive capability and renders tailor made report to disseminate proper and relevant info.
SLIDE 3: Data, Information, and Knowledge
- Data: Raw facts and figures without context.
- Information: Data organized and processed to provide meaning.
- Knowledge: Information combined with understanding and experience for decision-making.
Speaker note: For accurate business intelligence to be achieved one must be able to make distinction between data, information and knowledge. Data is the raw material that has not been processed through analysis or in other ways modified in its preparation for use. Information is data that is shaped in a particular form and put within a particular context. The key definition of knowledge here, privileges understanding as an application of information together with experience towards gaining useful insights that can be implemented (Aws, et al 2021). Actually, Power BI brings benefits through translating the data and providing various options of graphical and interactive analysis as to create and spread knowledge.
SLIDE 4: Power BI Overview
- Interactive Dashboards: Real-time visualizations.
- Data Integration: Connects with multiple data sources.
- User-Friendly Interface: Accessible for all users.
- Advanced Analytics: Features like visualizations and data centric.
Speaker note: The strong feature of Power BI is the data visualization by means of interactive dashboards. It works harmoniously with multiple data feeds and offers rather profound integration. The operational interface is also easy to use, so applying it does not require a tech-savvy user and can be useful for the different teams (Niño et al 2020). The implementation of visualization tools and data centric approach improves the system for providing more profound data.
SLIDE 5: Hosting and Storing Methods
- On-Premises: Power BI Report Server for local deployment.
- Cloud-Based: Power BI Service for online access and collaboration.
- Hybrid: Combination of on-premises and cloud solutions.
Speaker note: It is for this reason that Power BI provides a number of different modes of deployment. For those who are more particular with their data storage and security and who have their data inside their own organization, there’s the Power BI Report Server which is an on-premises hosting. Power BI Service is a cloud-based solution which helps to scale up, provides remote access and collaboration. This way, it is possible to have the benefits of both on-premises and cloud environments using a blend of the two settings.
SLIDE 6: Common Problems in Data Handling
- Data Entry Errors: Mistakes during data input.
- Human Errors: Incorrect data interpretation or manipulation.
- Bugs and Security Breaches: Technical issues and unauthorized access.
Speaker note: Difficulties associated with data include input error which occurs during data entry Technostress and human error that occurs when working on the data or modifying it (Nithya and Kiruthika 2021). Malwares and security vulnerabilities can also harm data quality and security (Richardson et al 2020). To address these issues, Power BI comes with features such as data validation, access control, and frequent upgrades and relieves the issues.
SLIDE 7: Technologies in Power BI
- Data Modeling: Tools like Power BI for transformation and calculation.
- Integration: Connects with data sources such as Excel.
- Visualization: Advanced charting options and interactive dashboards.
Speaker note: Power BI uses advanced technologies for BI. Technologies of Data Modeling like Power Query help in data translation and calculation. it is integrated with a large number of data sources such as Excel and so on which enhances it’s flexibility (Jaradat et al 2024). Visualization features have a broad array of interactive charts and dashboards to attend to disparate analytical requirements.
SLIDE 8: Conclusion
- Summary: Recap of Power BI features and benefits.
- Next Steps: Evaluate BI needs, consider deployment options, and initiate a pilot project.
- Training and Support: Plan for user training and ongoing support to ensure successful adoption.
- Measure Success: Define key performance indicators (KPIs) and success metrics to assess the impact of the BI system.
Speaker note: Power BI is a data visualization, data integration and business intelligence tool that is very smart and effective. The following are conducing the further steps which include quantifying the specific BI requirements in the organization, choosing the best option to deploy and possibly to begin with a trial or pilot to test the competency of power BI in an organizational environment.
SLIDE 9: Reference List
- Bharadiya, J.P., 2023. A comparative study of business intelligence and artificial intelligence with big data analytics. American Journal of Artificial Intelligence, 7(1), p.24.
- Aws, A.L., Ping, T.A. and Al-Okaily, M., 2021. Towards business intelligence success measurement in an organization: a conceptual study. Journal of System and Management Sciences, 11(2), pp.155-170.
- Niño, H.A.C., Niño, J.P.C. and Ortega, R.M., 2020. Business intelligence governance framework in a university: Universidad de la costa case study. International Journal of Information Management, 50, pp.405-412.
- Nithya, N. and Kiruthika, R., 2021. Impact of Business Intelligence Adoption on performance of banks: a conceptual framework. Journal of Ambient Intelligence and Humanized Computing, 12(2), pp.3139-3150.
- Jaradat, Z., Al-Dmour, A., Alshurafat, H., Al-Hazaima, H. and Al Shbail, M.O., 2024. Factors influencing business intelligence adoption: evidence from Jordan. Journal of Decision Systems, 33(2), pp.242-262.
- Richardson, J., Sallam, R., Schlegel, K., Kronz, A. and Sun, J., 2020. Magic quadrant for analytics and business intelligence platforms. Gartner ID G00386610.
SLIDE 10: Thank you
Are you looking to improve your organization's decision-making and data management? Our in-depth analysis of Power BI highlights its powerful features, such as interactive dashboards, data integration, and real-time reporting. With its ability to turn complex data into actionable insights, Power BI is the ideal tool for streamlining decision-making, boosting operational efficiency, and enhancing strategic planning. If you want to harness the full potential of business intelligence to propel your organization forward, our expert assignment help can guide you through mastering Power BI and other BI tools. Reach out today for comprehensive assistance!
Task 2 (The Role and Benefits of Power BI in Business Intelligence)
Introduction
The choice to implement Business Intelligence (BI) system is crucial for improving the profits of data analysis and decision making inside an organization. When the company reaches a period of constant growth and acquires new contracts, it becomes more and more important to implement a BI system. With reference to this proposal, there are elements on Bi with emphasis on its role, purpose, the benefits of Business Intelligence and conceivable solutions. It has also addressed several areas of security to ensure the protection of stored information. The aim is to explain how BI solution like Power BI can help in reducing the complexities of reporting processes, help in coming up with intelligent insights, and contributing to decision making processes. The lessons learned in applying Power BI in the company provide significant benefits as the key competitive factors for growth of the organization and its analytical capabilities.
Discussion
Use of Business Intelligence Information in Organizations
Business Intelligence systems are very important in helping organizations convert otherwise unavailable or useless data into valuable decision-making data. These systems are built to assess data from many sources, comprising of sales figures , financial records and customer contacts to identify patterns , trends and outliers that are pertinent (Agarwal, et al 2022). BI system generated information acts as essential insights to enhance the decision-making strategy throughout the firm. For instance, the sales groups can use BI to identify the emerging customer trends, whereas the finance groups can utilize it to track the various budget trends. As well, in performance assessment, BI systems are beneficial in the definition of the most crucial measurement parameters, the KPIs in the process of assessing the effectiveness of the operations in an organization and identify areas of improvement (Zebari et al 2020). BI systems are also highly valuable in strategic planning because the former analyze historical data and financially model probable future trends, allowing the firms to plan for expansions or other actionable strategies. Power BI shows how BI systems may be effectively used. It offers the functionalities which involve identifying a number of data sources and providing resourceful analytics and visualization which enables enterprises to harness the data. The kind of visual elements used in Power BI such as the interactive dashboards and reports foster near real-time data analysis, a discipline very useful for decision-making and organizational strategies.
Purpose of Business Intelligence Systems for Organizations
The primary conceptual purpose for Business Intelligence systems is in the improvement of organizational decisions both in terms of quality and speed. These systems collect diverse data into a single location, and as such they provide a single window through which one can view the information in the organization (Altaf et al 2022). This centralization makes it easier to analyze large data, such as data mining and trend analysis that is useful when dealing with complicated data. BI system tools help in developing the specialty reports quickly and facilitate a method of exhibiting and interpreting data (Kumar, et al 2020). Power BI supports these purposes by providing an entire palette of tools for modeling, real-time reporting, and analytical processing. They help firms in responding quickly to the changes in the market which in turn helps in the making of sound decisions that can bring enhanced success of the company. The benefits of Power BI that are oriented on the user interface and on the analytics are most compelling when aligned with the goals of BI systems, and therefore Power BI is valuable for enterprises that would like to enhance their analytic and reporting lines.
Figure 1: Purpose of Business Intelligence Systems for Organizations
(Source: self-created in MS WORD)
Benefits of Using Business Intelligence Software for Organizations
The application of BI software yields several advantages to firms simplification of all. Among those, the one that stands out for us is an increase in the efficiency of decision-making because BI systems provide accurate and timely information about corporate activities and performance (Lebrouhi et al 2021). This clarity enhances the capacity of the decision-makers to respond to believable information. Moreover, BI systems improve the operation efficiency, since gathering and reporting of the data is in large measure automated and requires less manual work and time to provide information. Another substantive advantage consists in enhancement of data quality. BI technologies have features for validating and cleaning data that are used in the BI process to make sure that the data is accurate and standardized. This assures more accurate results and conclusions are made. Furthermore, business use of BI data gives a team a competitive edge by identifying market shifts, customer demand and frailties within the company’s operations. Through the use of the interactive tools, simplicity of the Power BI and the robust analytics, these are augmented thus solving the two aspects of data management and analysis to help the firms gain competitive advantage.
Range of Business Intelligence Solutions Available
A wide variety of Business Intelligence tools exists today, and they can have one or another set of pluses and minuses. Among the features of Power BI it is noteworthy the effectiveness of the dashboards, data connections and the format and interface. It is particularly famous for its capability to scale and carry out analysis on real time data processing. Another well-known BI solution is Tableau which can also boast of its superb data visualization features and great usability. It is also used for its superior visual tools and simple interface. SAP BusinessObjects presents a platform of BI solutions well suited for enterprises consisting of superior reporting and data management (Khan et al 2020). Qlik Sense enables the users to explore the data from multiple views using the associative data indexing and engaging application dashboards. The nature of the BI solution to be adopted depends on the demand and need. Power BI is most suitable to those in search of a low-cost BI system that they can easily maintain and expand and that comes with integration and visualization capabilities.
Figure 2: Types of Business Intelligence Tools
(Source: https://www.sagesoftware.co.in/business-intelligence-software-bi/)
Conclusion
Business Intelligence as an element of management BI solution, like Power BI, is a strategic step that can considerably enhance the company’s capability to analyze data and make decisions. Due to BI information, firms are able to enhance the decision-making capability, enhance reporting and achieve a set of insights that relates to the strategic/operation decision making. They are greater data quality, efficiency, and competitive advantage because the BI software makes the process of reporting to be easier. As mentioned earlier, there is a plethora of BI solutions, choosing the right one to maximize the mentioned benefits is crucial. Among reasons that explain why Power BI is a good choice is its interactivity, simplicity, and versatility in analytics. A proper planning of the implementation phase and concern regarding factors like security will play an important role in achieving the laid down objectives and in providing secure access to particular information.
Reference List
Journals
- Agarwal, U., Rishiwal, V., Tanwar, S., Chaudhary, R., Sharma, G., Bokoro, P.N. and Sharma, R., 2022. Blockchain technology for secure supply chain management: A comprehensive review. Ieee Access, 10, pp.85493-85517.
- Zebari, R., Abdulazeez, A., Zeebaree, D., Zebari, D. and Saeed, J., 2020. A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction. Journal of Applied Science and Technology Trends, 1(1), pp.56-70.
- Altaf, M.W., Arif, M.T., Islam, S.N. and Haque, M.E., 2022. Microgrid protection challenges and mitigation approaches–A comprehensive review. IEEE Access, 10, pp.38895-38922.
- Kumar, S., Saket, R.K., Dheer, D.K., Holm‐Nielsen, J.B. and Sanjeevikumar, P., 2020. Reliability enhancement of electrical power system including impacts of renewable energy sources: a comprehensive review. IET Generation, Transmission & Distribution, 14(10), pp.1799-1815.
- Lebrouhi, B.E., Khattari, Y., Lamrani, B., Maaroufi, M., Zeraouli, Y. and Kousksou, T., 2021. Key challenges for a large-scale development of battery electric vehicles: A comprehensive review. Journal of Energy Storage, 44, p.103273.
- Khan, M.A., Saqib, S., Alyas, T., Rehman, A.U., Saeed, Y., Zeb, A., Zareei, M. and Mohamed, E.M., 2020. Effective demand forecasting model using business intelligence empowered with machine learning. IEEE access, 8, pp.116013-116023.
Task 3: Report (Strategic Implementation and Impact of Power BI on Business Planning)
Introduction
The utilization of Business Intelligence (BI) solutions such as Power BI is important for any organization that is growing rapidly and experiencing difficulties in the field of data analysis. BI is characterized with tools and technological platforms that remodel raw data into valuable information to assist organizations in making right decisions and reduce complexity. This report describes how a Business Intelligence Solution can have a strategic impact in an organization, by describing the BI system organization process, analyzing its role in business planning and illustrating it’s importance towards both strategic and skillful planning.
Discussion
1. The Adoption of Business Intelligence System
Figure 3: Business Intelligence
(Source: https://miro.medium.com)
A proper implementation of the Business Intelligence system consists of a number of procedural steps that have to be considered and followed. The first stage is the Assessment and Planning in which the business organization evaluates its current state of data and defines specific requirements in order to set its focus on the BI implementation process. The stakeholder engagement is important in this scenario so as to raise the needs and define the objectives of the system. The Data Integration and Preparation stage is vital, which shows the Extraction, Transformation, and Loading (ETL) of data from varied sources (Tariq et al., 2023). These steps helps in gathering the information that is normalized and then loaded into the BI system hence providing an better foundation to carry out analysis. In the preparation of data, the focus stays on System Configuration and Customization. This stage involves customizing an organization’s specific dashboards, reports and analytics tools to match the organizations processes and reporting needs. The customization means that the requirement of an organization is met since the BI system has to suit the organization. The next phase is Deployment and Testing where the system is deployed and tested severally to ensure it performs well and integrates well with existing system. It also involves training of the users to be certain that personnel in the organization can use the BI tools. The monitoring and support are important to resolve any problems that may arise as well as to maintain high performance of the system. The constant follow up and sustainability is required for adapting towards dynamic requirements as well as for making sure that the system remains relevant and sustainable.
2. Facilitating Better Business Planning
Figure 4: Purpose of Business Intelligence
(Source: https://rainmakercloud.com)
Business Intelligence facilitates in corporate planning by offering detailed analysis and ways of predicting corporate outcomes. Business intelligence solutions, such as Power BI, integrate information from various sources to present an adequate picture that finds ways of enhancing the capacity of forecasting and strategic planning to produce better results. Trends and patterns are beneficial to organizations and may help improve the quality of the decisions being made by the organizations. While using Power BI, the complex analytical tools enable an analysis of previous data of sales to create future patterns to assist with inventory and even financial planning. Another advantage of real-time reporting and visualization is that decision-makers get the most up-to-date information it needs to make immediate decisions (Mahmood et al.2022). Data visualization of fundamental metrics through Power BI’s bold and clickable dashboards help with short-term corporate planning and enable firms to act fast regarding shifting market conditions. BI systems help in analyzing a scenario where several business scenarios are modeled and future results of significant actions evaluated for Businesses to have multiple methods of completing an action and then make a decision based on the analysis given by the BI tools. Power BI what-if analysis tools are capable of providing a view of the impact in a business decision before it is affected. In other scenarios its enhanced cooperation regarding the BI systems data and integrated working capabilities facilitate sharing of information and coordination among organizational departments.
3. Enabling the Strategic and Tactical Business Decisions
Figure 5: Benefits of Using Business Intelligence
(Source: https://marvel-b1-cdn.bc0a.com)
The advanced characteristics of Business Intelligence, it provides support for decision-making at the strategical and even more operational level. BI systems provide the managers with effective data and analysis which are necessary for making decisions. Power BI consolidates and analyzes complex data, enabling a broad-strategic approach to areas such as market penetration, creation of new products, or setting of investment goals. Analyzing the past and detecting patterns, business intelligence helps firms to comprehend the market and place, which in its turn helps to align business intelligence with strategic goals and planning (Ansari et al., 2020). This knowledge assists the formation of achievable objectives and permits business to run comfortably and notice development successfully. Using Power BI, mainline operational operations are automated and raw data is transformed to stunning dashboards and reports that exclude human intervention, yet provide ONC access to key operational parameters. This leads to enhanced operational decision making processes as well as improvement in routine decisions made within the organizations. BI systems also track KPIs and other operational data, through which performance can be evaluated, and the problem areas that are addressed before it becomes a major problem. Power BI’s performance management, helps in assessment of how well operations are being executed and this leads to better management of the daily operations.
4. Power BI Implementation
Figure 6: Business Intelligence Solutions
(Source: https://biz-excellence.com)
Power BI demonstrates how BI technologies support Businesses Intelligence, decision-making, and planning functions in organizations. Some of these are live data integration that gives the tool important applications at the strategic levels. Large improvements in data analysis abilities and better decision making as well as enhanced capabilities on strategic projects may be experienced by organizations that employ the services of Power BI (Hasib et al., 2021). Real-time-information and broad analysis capacity provides organizations with the opportunity to adapt and correct to changing circumstances, improve the system’s functionality, and contribute towards the strategic development.
Conclusion
Power BI is essentially a better platform that provides a logical improvement of the organization’s Business Intelligence potential. Before a solution can be deployed and supported to enhance database integration, there are procedures to be followed for implementation to be effective. BI systems enhance the company planning because of the information delivery, real time reporting, new scenarios and interpersonal communication. It also provides strategic and operational decisions by providing the details of data and trends of potential performance. By implementing a BI system, there is the likelihood that the performance of several organizations will be improved through better decision-making, efficient planning of activities, and a better position in the market.
Reference List
Journals
- Tariq, U., Ahmed, I., Bashir, A.K. and Shaukat, K., 2023. A critical cybersecurity analysis and future research directions for the internet of things: a comprehensive review. Sensors, 23(8), p.4117.
- Mahmood, M.R., Matin, M.A., Sarigiannidis, P. and Goudos, S.K., 2022. A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era. IEEE Access, 10, pp.87535-87562.
- Ansari, S., Chandel, A. and Tariq, M., 2020. A comprehensive review on power converters control and control strategies of AC/DC microgrid. IEEE Access, 9, pp.17998-18015.
- Hasib, S.A., Islam, S., Chakrabortty, R.K., Ryan, M.J., Saha, D.K., Ahamed, M.H., Moyeen, S.I., Das, S.K., Ali, M.F., Islam, M.R. and Tasneem, Z., 2021. A comprehensive review of available battery datasets, RUL prediction approaches, and advanced battery management. Ieee Access, 9, pp.86166-86193.
- Chen, H., Li, C., Mafarja, M., Heidari, A.A., Chen, Y. and Cai, Z., 2023. Slime mould algorithm: a comprehensive review of recent variants and applications. International Journal of Systems Science, 54(1), pp.204-235.
- Younan, M., Houssein, E.H., Elhoseny, M. and Ali, A.A., 2020. Challenges and recommended technologies for the industrial internet of things: A comprehensive review. Measurement, 151, p.107198.
Task 4 (Hands-On Business Intelligence Analysis Using Power BI: Insights and Visualizations)
Introduction
In this section, it provides more detailed information regarding the business intelligence with relevance to Power BI along with highlighting its possibilities to enhance data and decision making. Many of the fundamentals of Power BI to enhance and areas of significant analysis will be performed and will be illustrated. This section will consist of a better Business Intelligence System analysis which is basically performed in the software of Power BI. With the specific use of a business dataset the analyzing of the data will be done. Several specific graphs and its importance will be highlighted.
Business Intelligence System Analysis in Power BI
Delivery Location Latitude in Power BI
Figure 7: Delivery Location Latitude
(Source: Self-Created in Power BI)
It states the effectiveness of the system in presenting intelligence data through the graph known as Delivery Location Latitude in Power BI. The graph based on Power BI’s data modeling features like Power Query and DAX is helpful to represent the delivery sites only on the basis of latitude to study geographical distribution (Chen et al., 2023). Some of the data preparation steps included cleaning and harmonizing of the geospatial data so as to get the right and consistent data. Some specific places were excluded or given special consideration during the review and the filter features were refined to do so. This data collection produced a live business report with visualizations and dynamic dashboards that offered insights into delivery characteristics and assisted in decision-making.
Delivery Person By Age in Power BI
Figure 8: Delivery Person By Age
(Source: Self-Created in Power BI)
The analysis of Delivery Person By Age graph in Power BI will show effective working of Power BI systems in case of modeling and analyzing demographics. This capability of Power BI like Power Query and DAX have been used in developing this visualization to segment the delivery people by its age group to analyze the workforce distribution (Younan et al., 2020). The data preparation stage involved data cleansing and formatting to ensure that only ‘correct’ aged data was used. Specific search filters were used with reference to age and assessment of some sectors was done. The resulting business report is purposefully distinct and includes features such as the use of dynamic dashboards and real-time visualizations allowing for the proper significance of the age distribution of delivery personnel and the subsequent practical help in the labor planning.
Restaurant Latitude in Power BI
Figure 9: Restaurant Latitude
(Source: Self-Created in Power BI)
The Restaurant Latitude graph shows the ability of the system to work with geographic information. This graph leverages Power BI data modeling tools like Power Query and DAX to plot the restaurant positions by latitude, and therefore it can be seen that the geographical spread of restaurants is well elaborated. Preprocessing involved cleaning and formatting of latitude data so as to ensure correct position determination. These were special search filters to filter and evaluate geographical areas (Srivastava et al., 2021). One of the customers may use the customized business report, which is displayed in the form of interactive dashboards, and consider the spatial pattern of restaurant sites and develop a geographic strategy. This work affords dependable immediate evidence to assist in management planning and control.
Order Time in Power BI
Figure 10: Order Time
(Source: Self-Created in Power BI)
Power BI displays the Order Time report in the format of a graph where timings of orders are altered over periods of time. Using the Power BI data modeling tools Power Query & DAX present further insights of the peak order timings and frequency (Conboy et al., 2020). Precautionary measures were taken regarding the data by means of cleaning and aggregating the time that orders were placed. There were such gaps of search criteria to sort and estimate orders during specific time intervals. As a part of the individual business analysis and presenting it in the form of linked diagrams on the report’s working panels, the graph helps to identify the points of maximum load and adapt staffing and stocks in order to enhance line operation and development.
Road Traffic and Vehicle Type in Power BI
Figure 11: Road Traffic and Vehicle Type
(Source: Self-Created in Power BI)
Road Traffic and Vehicle Type graph in Power BI provides information regarding the traffic circumstance with different types of vehicles. This research does not use only highly effective data modeling tools of Power BI including Power Query for cleaning and DAX for calculations. The graph was prepared by parameters of traffic and the availability of vehicles on roads by categorizing it, which will give an appropriate view of the traffic. This work is a visualization that is implemented within a specific business report as well as an interactive dashboard. The visualization helps in studying car movement and distribution, it is much helpful in traffic control and infrastructure (Sadeghian et al., 2022). This comprehensiveness enhances strategic decision making because it provides ideas regarding some trends that may otherwise would not have been seen.
Order and Type of Order in Power BI
Figure 12: Order and Type of Order
(Source: Self-Created in Power BI)
The Order and Type of Order graph in Power BI provides a complete view of many types of orders and its occurrences. Using Power BI’s data modeling features such as Power Query for getting and adapting the data and DAX for vital computations, this graph organizes orders into categories. This feature provides a specific analysis and an interactive dashboard and helps to monitor order tendencies and preferences to enhance inventory stock and potential sales strategies (Bihari et al., 2021). This strategy encourages the use of analysis and likely distribution of orders based on metrics collected.
Visualization of All the Variables and Values in Power BI
Figure 13: Visualization of All the Variables and Values in Dashboard
(Source: Self-Created in Power BI)
The graph named “Visualization of All Variables and Values” in power BI shows a complete Dashboard of variables and its specific values at one place which helps to identify various metrics which are crucial in today’s environment. This visualization uses many data sources, but all the data sources are integrated using Power BI rapid modeling tools including Power Query and DAX. The graph uses dynamic filters to allow the users to analyze the information based on specific aspects this makes the analysis more flexible (Khalid et al., 2021). This active tracking chart displays all the parameters and values, so that within a few moments, users are able to find issues with trends, connections and outliers. It is used where one gets an all-round view of multiple data points that facilitates the analysis of data and the decision-making process.
Conclusion
Power BI as a tool of Business Intelligence provides value for data analysis and decision making implementation. Utilization of sophisticated features such as the interactive dashboard, real-time data integration or comprehensive data modeling organizations may enhance strategic and operational planning. Power BI combines the data preparation, Data visualization and reporting tools that enables to have the right information and make right decisions. Some of the features are, It supports multiple deployment models and is easy to use for all members of the team. It is seen that Power BI does not only helps in the administration of the data, but it also helps the enterprises to make decisions, improve performance and remain unique in the market.
Reference List
Journals
- Srivastava, P., Shukla, A. and Bansal, A., 2021. A comprehensive review on soil classification using deep learning and computer vision techniques. Multimedia Tools and Applications, 80(10), pp.14887-14914.
- Conboy, K., Mikalef, P., Dennehy, D. and Krogstie, J., 2020. Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda. European Journal of Operational Research, 281(3), pp.656-672.
- Sadeghian, O., Oshnoei, A., Mohammadi-Ivatloo, B., Vahidinasab, V. and Anvari-Moghaddam, A., 2022. A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges. Journal of Energy Storage, 54, p.105241.
- Bihari, S.P., Sadhu, P.K., Sarita, K., Khan, B., Arya, L.D., Saket, R.K. and Kothari, D.P., 2021. A comprehensive review of microgrid control mechanism and impact assessment for hybrid renewable energy integration. IEEE access, 9, pp.88942-88958.
- Khalid, M.R., Khan, I.A., Hameed, S., Asghar, M.S.J. and Ro, J.S., 2021. A comprehensive review on structural topologies, power levels, energy storage systems, and standards for electric vehicle charging stations and their impacts on grid. IEEE access, 9, pp.128069-128094.
- Nuseir, M.T., Aljumah, A. and Alshurideh, M.T., 2021. How the business intelligence in the new startup performance in UAE during COVID-19: The mediating role of innovativeness. In The effect of coronavirus disease (covid-19) on business intelligence (pp. 63-79). Cham: Springer International Publishing.