A framework for implementing a scalable business intelligence system

It is closely related to other components of the BI system, i.e. ETL systems, OLAP and reporting tools, all of which access the data warehouse to perform their functions. For example, in a speed camera system, if a car with registration number XYZ passes the speed camera at 145 km/h, the speed camera would report one fact ie. the speed of the car at that moment.

CURRENT LITERATURE

BI IMPLEMENTATION SUCCESS OUTCOME

The study does not provide a method to evaluate the effectiveness of the implemented BI system. A framework for implementing a scalable business intelligence system 21 However, the study looks at the BI system's scalability in terms of expanding data requirements and system utilization.

NEED FOR THE STUDY

The research also looked at the techniques used to determine if the BI system was successful. In addition, the research will create a framework and use it to implement a scalable BI system.

DISSERTATION OVERVIEW

2 METHODOLOGY

PREAMBLE

PROPOSED FRAMEWORK

Consequently, it is essential to first establish a broad vision for the BI system and analyze the organization's readiness. A framework for implementing a scalable business intelligence system 29 The most important component of a BI system is the data warehouse. A Framework for Implementing a Scalable Business Intelligence System 39 The data warehouse's primary access interface is also the BI portal.

A Framework for Implementing a Scalable Business Intelligence System 41 The final step involves tasks required to keep the BI system running smoothly. One of the goals of this task is to produce status reports about the BI system's components, such as the data warehouse and data sources.

Figure 2-2 depicts the steps involved in creating a data warehouse.

VERIFICATION OF THE FRAMEWORK

VALIDATION OF THE FRAMEWORK

These four questions provide information about the different respondents to show the variety of users using the BI system. Does the BI system allow you to create reports that appear to be exactly what you need? Do you find that the data provided by the BI system is presented in a usable format?

As a result, a target of 3.5 of favorable user ratings will be needed to ensure that the BI system addresses the three key factors. The validation framework will demonstrate that the BI system addresses the system utilization aspect (which is another success component of the BI system) by analyzing this data.

SUMMARY

Framework for implementing a scalable business intelligence system 47 The first step is to define the requirements and assess readiness for the introduction of a BI system. Once end users can create reports, the next step is to enable them to collaborate and share reports. We achieve this by implementing a BI portal with built-in analytics that allows many people to view data from any location and on any device.

Finally, next steps include testing and deploying the system, as well as providing user support and maintenance to ensure that the BI system remains operational and effective. The purpose of the validation method is to find out whether the proposed framework addresses the research problem of this study.

IMPLEMENTATION

3 IMPLEMENTATION AND RESULTS

CASE STUDY

IMPLEMENTATION OF BI SYSTEM

MongoDB performs real-time data analysis in the most efficient way, making it ideal for Big Data. Another advantage of MongoDB's scalability is that it can run across numerous servers, load balancing and/or data replication to keep the system operational in the event of hardware failure. When a file is in any of the mailbox folders, the ETL tool is launched and the specified files in the mailbox folders are processed.

A Framework for Implementing a Scalable Business Intelligence System 53 The tag name in the file is used by the ETL tool to identify the incoming data. As indicated in Figure 2-7, PowerBI and the other two platforms are all industry leaders, but the other product platform is considered a competitor in the market, bringing innovation.

Figure 3-1 High level model for XYZ Consulting’s data warehouse

COSTS PER ANNUM

Specifies the client database from which data will be retrieved when the report is run. After entering the appropriate parameters, the user clicks the Upload button to upload the data to the report. The user must then select the workspace in which the report will be published.

This allows the user to change the report's owner and set up an automated data refresh schedule. The clients can access the report after the user selects the clients to link to the view.

EXECUTION TIME

To evaluate the speed of the calendar query, a one-year calendar divided into one-minute intervals was produced. Users requested a few tweaks to the templates, such as adding more columns to the template's calendar tables, as well as including the fiscal year for the custom billing dates. The menu also allows the user to specify calendar settings such as the start month of the fiscal year, the billing calendar, the calendar range, a start date, and an end date.

A framework for implementing a scalable business intelligence system 67 Several training sessions were held after the deployment of the BI system. Monitoring systems have also been added to monitor the memory and CPU usage of the PowerBI gateway, overseeing the refreshing of the reports with data.

RESULTS AND VALIDATION

66% of respondents say they use the BI system for both creating and viewing BI reports. According to the answers in the Table, respondents believe that the BI system provides accurate information. The remaining 33.33% claim that the BI system only provides them with the precise information they need half the time.

There is most likely data that the user expects but does not get out of the BI system. Unfortunately, only 41.66% of respondents said the BI system allows them to develop exactly the reports they need.

USER SATISFACTION WITH INFORMATION QUALITY

Overall, the results show that the implemented BI system provides accurate and relevant information to the user and thus handles the success factor of information quality very well. Thus, for this study, system reliability and turnaround time will be investigated in relation to the implemented BI system. This is a critical aspect as report refreshes ensure that the report always has the most up-to-date and accurate data.

On the other hand, it is an important factor to consider how long it takes for the report to refresh when new data becomes available. The PowerBI service was used to collect data on the average report refresh time, the number of failed and successful refreshes, and the uncompressed data size.

Table 3-3 provides a summary of the data collected.

REPORT REFRESHES

Users of the BI system were also asked to rate their satisfaction with the system's quality, specifically the ease of use and timeliness. A framework for implementing a scalable business intelligence system 77 Q10 Provide the BI system with up-to-date information. A 3 implies that the BI system is good but still requires improvement, and anything less than 3 indicates that the user is completely dissatisfied.

75% of respondents believe that the BI system is user-friendly, but only 66.67% believe that it is really easy to use. Furthermore, Table 3-4 reveals that 75% of the respondents believe that the BI system provides information just in time, while the other 25% believe that this is not the case.

Figure 3-19 Impact of report size on report refresh

USER SATISFACTION WITH SYSTEM QUALITY

Based on the results, the implemented BI system thus clearly addresses the system quality success factor, especially in terms of reliability, timeliness and ease of use. As one of the most popular measures used to assess the success of most information systems, the goal of this validation is to guarantee that the BI system is being used. This will first be done by aggregating the number of reports generated over the months by different project teams using the implemented BI system.

To determine the number of BI reports created, the PowerBI API was used to query the total number of imports (report creations) made for each workspace where each project. This may be because when the BI system was released in May 2020, not many people were familiar with it.

THE NUMBER OF REPORTS CREATED

The total amount of data generated monthly by BI reports is given on the left y-axis, and the accumulated amount of data generated by the BI system is given on the right y-axis. As shown in the graph, reports generated in 2020 required a large amount of data, typically in the 100MB to 200MB range. Overall, the data shows that a wide range of users use the BI system to generate different types of reports.

Furthermore, a large amount of data is used, with the current amount of data used hovering around 2.5 Gigabytes (GB). The increasing number of reports also shows that the system has been well adopted by the organization.

THE SIZE OF DATA USED BY REPORTS

A Framework for Implementing a Scalable Business Intelligence System 81 User satisfaction will be the final measure used to assess the success of the BI system. The user only needs to rate how satisfied they are with the BI system and whether they believe the BI system is successful. Two of the respondents rated the BI system as a 3, indicating that they believe it can still be improved.

This is a good indication that the BI system is liked by a wide range of users. Based on the findings of the EUCS survey, it can be seen that the BI system achieved the research goal of user satisfaction.

Table 3-5 summarises the responses of users to the last two questions.

DISCUSSION OF RESULTS

The high user satisfaction can also mean that users are more likely to use the BI system when they need data-driven insights that can improve the organization's output and deliverables. This will also increase the value of data that the organization uses to take initiatives at the various mines. Overall, the BI system is a useful tool for users, and as a result, more users have adopted the system for data analysis and report generation.

OVERALL USER SATISFACTION

As a result, the BI system does not limit the user in terms of the type or size of the report that they can create. A framework for implementing a scalable business intelligence system 84 The success of the BI system also has a positive impact on the organization. To begin with, a wide range of users have adopted the BI system and are actively using it on various projects.

Because the BI system is scalable to a larger audience, the organization can expand the offering to its customer base. This chapter also showed that the implemented BI system was successful in achieving the research objectives.

CONCLUSION

4 CONCLUSION

SUMMARY

A survey was distributed to BI system users to validate that the BI system addresses system quality, information quality, and user satisfaction. Finally, to analyze overall user satisfaction with the BI system, users were asked to rate the success of the system as well as their overall satisfaction. Furthermore, the BI system met all the success criteria, including system and information quality, as well as system usability and user satisfaction.

The BI system also benefited some users in obtaining data insights related to their work. As shown in Table 4-1, the BI system met the objectives of the study and, as a result, addressed the problem statement of this study.

LIMITATIONS

RECOMMENDATIONS FOR FUTURE WORK

5 REFERENCES

Jureta, "User experience in business intelligence - a quality construct and model for the design of supporting BI dashboards." Van Belle, “Critical Success Factors for Business Intelligence in the South African Financial Services Sector,” SA J. Omar, “Towards a Business Intelligence Model for Interoperability Challenges in the Ego System: Transparency, Extensibility and Genericity,” 2019 Int.

Baars, "Cloud-Based Business Intelligence and Analytics Applications - Business Value and Feasibility," Pacific Asia Conf. Bogdanović, “A Hybrid Approach to Building a Multidimensional Business Intelligence System for Electricity Network Operators,” Util.