Describe the use of business intelligence (BI) in a rea
- Read Chapters 9 and 10 in your textbook : Principles of Information Systems
- Using the discussion link below, respond to the following prompts and questions:
- Describe the use of business intelligence (BI) in a real-world situation that you have experienced, or research BI used within a Fortune 1000 organization. What tools are used for reporting and decision making? Why would managers and senior leadership want to have BI delivered as a set of dashboards?
- How should BI be used to make decisions in an organization?
- Conduct research using the internet, and discuss trends in artificial intelligence (AI) and robotics.
- Your initial post should be at least 300 words and supported with credible outside references.
4. Review the posts attached and reply in 150 words individually.
5. Include citations to at least one credible information source in your replies.
(a)Business Intelligence and its Tools
Business Intelligence (BI) helps the organizations to provide better strategic decisions for further development of the business services by representing the present and actual data with its business context (Ain et al., 2019). For instance, Fortune 1000 organization are known to be one of the largest American organizations to enhance the process of Big Data technology towards the consumer’s services. Fortune 1000 has provided 1000 largest companies to authorize the business services in the USA for building better revenues towards the development of economic growth.
The strategic tools of the BI help an organization to build the growth of the productivity or services under specific integrating capabilities which are listed as follows –
SAP Objective Business: This tool refers to BI software by providing strategic reports, business analyses, and collective data visualization.
Data Pine: It is one of the essential tools of the BI platform that authorizes the composite process of data analytics for strategic decision-making in an organization.
Micro Strategy: It signifies an enterprise BI tool that provides a high-speed dashboard of business services and data analytics. This business tool can identify data analytics trends and implement new productivity of the business services (Ain et al., 2019).
SAS Business Intelligence: This BI tool facilitates advanced anticipative data analytics that implements an excellent business service platform.
While overviewing the BI studies, leaders and managers have essential roles in providing strategic decision-makings to provide better business outcomes in an organization. The organizational leaders help establish an associative approach towards the BI services managed efficiently (Cheng, Zhong & Cao, 2020). At the same time, BI managers authorize the administrative team to focus on providing strategic decision-making of specific planned projects by supplying the data of business reports and implementing the qualitative analysis of the business services (Cheng, Zhong & Cao, 2020).
(b)Use of BI to make decisions in an organization
Business Intelligence (BI) helps extract the essential facts of the business reports from a vast amount of unstructured flow of data analytics. In the solution of the unstructured business method, BI helps the organization provide workable information that helps make wise strategic decisions of the business services (Cheng, Zhong & Cao, 2020). However, certain aspects of BI help the organization make better data-driven decisions under specific conditions, such as identifying strategies to make a profit, analyzing customer behavior, tracking the performance of the services, taking measurable steps against the business issues, and optimizing the operational services. BI arms the organization with helpful data resources to achieve its business goals and targets by implementing strategic decision-making of the business services (Cheng, Zhong & Cao, 2020).
(c)Trends in the Artificial Intelligence and Robotics
Artificial Intelligence is an intellectual scope for the business services in an organization to make various essential trends in society. The focus of AI operation helps improve the efficiency of the technological measures for its positive outcomes (Takeuchi & Yamamoto, 2020). Some trends of AI have provided the organization to improve its operational services and structural designs for its sound business outcomes. For example, cloud computing can result in an excellent AI trend for business services that helps to store relevant information in a particular database application.
In the robotic trends, the software bots can constantly detect alternates in the work environment by utilizing robust sensors and taking measurable actions against the threats (Batth, Nayyar & Nagpal, 2018). For instance, cyber-security considers one of the most powerful software robotic trends in business services for delivering specific actions against illegal cyber-threats (spyware and viruses).
References
Ain, N., Vaia, G., DeLone, W. H., & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success–A systematic literature review. Decision Support Systems, 125, 113113. https://www.sciencedirect.com/science/article/pii/S0167923619301423
Batth, R. S., Nayyar, A., & Nagpal, A. (2018, August). Internet of robotic things: driving intelligent robotics of future-concept, architecture, applications and technologies. In 2018 4th International Conference on Computing Sciences (ICCS) (pp. 151-160). IEEE. https://ieeexplore.ieee.org/abstract/document/8611051/
Cheng, C., Zhong, H., & Cao, L. (2020). Facilitating speed of internationalization: The roles of business intelligence and organizational agility. Journal of Business Research, 110, 95-103. https://www.sciencedirect.com/science/article/pii/S0148296320300035
Takeuchi, H., & Yamamoto, S. (2020). Business analysis method for constructing business–AI alignment model. Procedia Computer Science, 176, 1312-1321. https://www.sciencedirect.com/science/article/pii/S1877050920320408
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Business Intelligence was used by my previous company using Microsoft’s SQL Server Suite mainly SSIS (SQL Server Integration Services) for ETL jobs and SSRS (SQL Server Reporting Services). The client was a client-vendor relationship management company where they acted like the middlemen between a client and a potential vendor. Because of that, they hosted the data for more than 100 companies. The BI development teams’ job was source the data from all the companies, create SSIS packages, and store it in the database. The reporting team used SSRS to build reports accordingly. The business would make a decision on something, the message would e handed to the development team, who would then work on the ETL process and relay the results to the business. Some of the clients did collaborate on reporting wherein if they liked the report created for one organization, they would ask for the creation of a report with the same features for themselves.
BI should be looked as an option rather than a necessity. It depends on the size, kind and speed of data that is incoming. If any one of them is high, traditional BI tools are ill equipped to deal with them. Organizations must always adapt newer technologies into their operations, but the presence of external factors could cause the to implement BI which still works great for traditional databases. It is important to note that Bi would provide data about the things we ask for. So, if the quality of the requirement is high, the chance of a quality result will be high. It is the people involved in the process that have the highest impact but integration with the technology and processes make it better.
AI will play a vital role in implementation of internet of things. It will increasingly be monitoring and refining business processes which will cause many jobs right now to be extinct and taken over by AI. It is important to always upgrade your skills or lag. More and more personalization will take place in real-time as the technological gets closer to home and the speed of executive increases. Finally, AI will become increasingly useful as data becomes more accurate and readily available although the implementation of this feature will take time due to security concerns.
References
Azma, F., & Mostafapour, M. A. (2012). Business intelligence as a key strategy for development organizations. Procedia Technology, 1, 102-106.
Bayer, H., Aksogan, M., Celik, E., & Kondiloglu, A. (2017). Big data mining and business intelligence trends. Journal of Asian Business Strategy, 7(1), 23.
Simon, H. A., Bibel, W., Bundy, A., Berliner, H., Feigenbaum, E. A., Buchanan, B. G., … & Waltz, D. (2000). AI's greatest trends and controversies. IEEE Intelligent Systems and Their Applications, 15(1), 8-17.
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