The business intelligence comprises of the set of strategies and the processes which are important for the applications and the data that are used by the enterprises for the collection of the data, along with making sure that the technology is based on the current and the predictive view of the business operations. (Carillo, 2017.). The chosen technology is data warehouse which can be used by the enterprise to support the wide range of the business decisions. The gestational performance is based on improving the business decisions with the use of the information that comes from the multiple sources like the internal and the external forms which are generally supplied by the customers, partners and the third parties. There are strategic patterns which involve the priorities and the goals which are set to evaluate the directions mainly at the broadest level.
The management of the business intelligences based on the trend where the value is obtained from the organization BI effort. It is able to incorporate the actions like the education of the employees for the BI and the evaluation of the benefits with the solutions and development. Here, the management is based on the proper recognition, where the actions are related to:
The success of BI is based on the organization development with the reports that are related to the organization data with the transaction system and the enterprise resource planning. The data should be of higher quality with the different aspects that include the existence whether the organization has the data, validity and the consistency with integrity.
The focus of the different norms and the belief are related to the fact that the behavioral change in the organization is not depending on technology only. It also depends on the people who tend to seek and utilize the opportunities based on the information possible. Here, the employees are also reluctant to share the data which make the BI less effective. Hence, for this, there is a need to check on the information with respect to the organization. (Daneshvar et al., 2016).
Considering the theoretical framework, there is a need to focus on the organizational factors in business intelligence like the organizational strategy, culture, process and structure.
The BI is important for the set of technologies which will help in collecting and analyzing the different data forms to improve the flow of work with the organization decision making process. The combination of the collection, cleaning an integration of the data is from the different sources where the large volumes are set and found to improve the performance and the adaption to the change. (Han et al., 2014). The organizational resources are generally controlled with the management skills and the organizational strategy that enables the firms to utilize and work on the applications with resource based management for the long-term success and to measure the strategic value of the IT resources.
The argument is about how to work over the knowledge sharing culture and the IS success that will lead to the centralization, formalization and setup of the administrative intensity and professionalism. The decision-making authority is set with the emphasis on the centralization and decentralization that regards to the tasks with controlled organization formats to execute the decision and implementation forms. The structure is based on motivating the employees with the decisions prompt to work on the vertical communication, stability in the environmental changes.
For the structural development, BI is working over the decision-making process where the mechanism is used for the encouragement of the desirable form of behavior. Here, the decision-making bodies and the guiding principles are based on working over the IT governance groups with the span of functional areas that lead to the interests and the facilitation of the communication links with better feedback mechanisms.
The organizational process entails the IT, marketing, manicuring and the supply management process which affect the performance of the firm, with the enhancement of the organizational effectiveness. The check is on the knowledge processes and management that aligns the information system to generate the capabilities for determining the organizational effectiveness. The organizational culture does not mainly impact the organizational effectiveness directly but has a major influence on the goals whether structured and unstructured. With this, there is a need to focus on the decision-making bodies which can easily identify the individuals or the groups that are able to make up to the BI decisions. BI steering committee is set to form the aligning sets with the strategic initiatives and the processes that will lead to the growth of the strategic initiatives and processes. (Howson, 2013). The competency is based on helping and developing a standardized set of models, with data warehouse. The BI differs from the project depending upon aiming at the development which provides the staff and the resources to support the BI projects. For this, there have been potential roles which are associated with the BI competency including a manager of the center. (Wahi et al., 2016).
For the proper standards and setup of the BI, there are SaaS developments which are mainly to reduce the capital expenditure and reduce the cost with enhancing the technical capabilities to increase the access of the employees to improve and report about the analytics with minimal IT. The business intelligence has been based on the competitive advantage which allow to correlate mainly from the different company operations like the inventory finance and the production.
Here, the check is on the ERP applications where the standards are important to check on the intelligent tools for the extraction process. Here, there are forms which include the formulation of the technology with the improvement in the organizational and the culture issues. The context of the ERP implementation is mainly found to handle the business systems with the view of the data in the different perspectives. (Kimball et al., 2015). BI works on the planning, business analysis and designing the repository design, to work on the construction of the ETL development, with deployment process. The BI tends to face the technical problems where the organizational changes problems are set with the change in the technical aspects. There is a need to check on the improvement of the OLAP technology along with the interface that is based on the Business Intelligence Portal that will be able to integrate the standards of direct access to the system. With the organizational changing impact, there are different reason for the business to work on improved scope and the results. (Laursen et al., 2016). There are patterns related to the important aspects of the technical and the human resources requirements, where there is a need to handle the data gathering, completing of the report designs and setting the validation process for proper communication. The flexibility and scalability parameters are set with the user-friendly approach where there is a need to check on the real-time applications with the higher degree of control over the data security. The measures are set with the office applications, with end user involvement that is important for the BI solutions. It has been seen that the building of the BI system is mainly through the Data Warehousing, where the users are able to work on the views of the company with the accurate forms and standards. There are considerations based on improving the BI systems with centralized and single view. (Wahi et al., 2016). Here, the consolidation of the techniques is mainly to integrate the data from the technology source like the ERP, CRM and the payroll to work on the analytics and the generated reports which will enable the members of different levels to work over the multiple data system. The organization that use the analytics are able to make the clear decisions with the better quality of the centralized reporting to determine the strength and the weakness.
The acceleration of the decision-making process with the insights that are mined from the larger data sets help in promoting the agility at a lower cost. (Pickering et al., 2015).The BI data warehouse is also capable of handling the big data solutions where the strategy is based on working over the optimization process of the solution with the data and results that are set for a single business group. The EDW process is based on working over the cross-functional view and the integrated version of the interface between the users and the data to help in development of the BI solutions.
The process for optimization is set with the team standardization and collection, storage, processing and distribution of information where there are procedural decisions that are consistent based on enabling the address, business process and values like the architecture and data warehouse opportunities. The customers focus on integrating the data sets through the automated selection tool.
There are different types of the IT processing which are based on running the business, with the business transaction processing, business transaction and checking over the operations with the objective to optimize them. The collaboration system helps in enabling the business users to share the information about the business operations which works on solving the data and performance issues. (Wahi et al., 2016).The emergency of the business intelligence applications is mainly for the user simpler interfaces, improved data analysis and the ability to compare the actual and planned performance. (Lee et al., 2015). For the improvement in the BI, there is a need to check over the consistency of the system based on the reliability and validity of the constructs. The model is set to measure the effectiveness and the organizational strategy based on scaling the different items which are based on supporting the factors related to the organizational effectiveness. The organizational strategy process and the culture have positive effects where the focus is on the structural growth with contingency theories of the organization that indicate different types of situations. The culture could be set through the adaptation process with the specification of performance and effectiveness. Here, there are modules that relate to the largely associated patterns where the strategy, structure and the process is based on evaluating the decentralized structure with the conducive BI systems. (Pickering et al., 2015). The model for the operational business intelligence is based on data, analyzing data and then persisting the results. There is a need to check on the web traffic with the tracking of buying trends, optimizing the prices. The optimization process is important for the business intelligence where the data warehousing is important for the business intelligence. Example, the analysis of the data in flight may also use the historical data to assist the analysis. The data warehousing is important for the BI applications to handle the management as well as tracking of buying trends through optimizing the prices. The companies like Infosys are working over the end-to-end BI and the DW services, where there is a proper maintenance of the system and coverage of the Intelligence road map and the implementation for data quality and data mining. They ensure with the BI strategy development, BI and the DW governance consulting process. Here, the structural strategic auditing is set with cross-platform migration and setting the services in the SaaS model, with SOA enabled framework.
The major impact has been to focus over the managerial implications where the BI systems and the organization strategy is based on working over the organizational BI effectiveness with the display of the different operational performance. The increased standards of the supply chain and the customer service performance indicate the alignment of the organization strategy with the other organizational factors. This is based on working over the structure, strategy and how the organizational demands are met with proper aligning and changing forms with alignment to meet the success for diagnosing the processing levels and the organizational factors for the deficiencies. The study (Serrato et al., 2017). for the BI systems is to track out the system standards with organizational strategy to work over the forms and effectiveness through BI systems. this includes the new thoughts with addressing major impacts of the organization on BI system.
Here, there are different guided analysis and reporting which are based on performing the recurring analysis for the specific data. It is important for the key performance indicators to select, filter and then compare the visualization and analysis of the data through the use of different variety of tools. The applications are set through the:
The Apache Hadoop for the raw unstructured sensor type data is used for the Intel distribution for the strategic predictive analysis which mainly focus on handling the integration with the multi tenancy conditions. the Intel distribution has been significant to work over the support of the security integration and the higher availability standards. (Sangari et al., 2015). There are XDW tools for the BI analysis which need larger volumes of data where the major goal is to focus on the higher performance and the lower costs than the higher end computing power of the EDW. Here, there are sets to define the patterns along with the integration of the support that mainly comes from the transactional data and the streaming with the batch driven solutions. There are functions for the alternative data warehouse for the subject areas which need to handle the sensitive data. The in-memory for the real time analyses is for streaming the data with the applications set for the vendor supplied applications.
There are roles in influencing the buying decisions of the consumers where there are reference groups, immediate family members, relatives, role in the society and status in the society. The social business intelligence generally combines with the aspects and the analytics to check on the convergence of the different trends.
With respect to the organization, the implementation of the solution to process is based on leveraging the forms where the consideration is to move into the data mining and predictive modelling with social web intelligence. Here, the necessary skills are set to work with the tools to manage the challenges with semi-structured data from social media sites into BI environment.
These are for the consumer perspectives where the ethical transgressions are mainly for the e-transactions when compared to the face-to-face transactions where the theory of proximity is set with the closer interpersonal relationship in between the individuals and organization. There are ethical issues related to the business intelligence in the organization is related to the relativism, utilitarianism and the rights. The relativism is the tactic which is for handling the problems related to the different views of the people. (Sherman, 2014). Here, there are positions set to enhance the futility of relativist approach with the opinions that are backed with the reasoned justification.
The utilitarianism is for examining the perspectives of costs and benefits. Here, there are reasoned arguments that are based on weighing the potential positive and negative consequences for the different points of view. The right approach is to check on the consequences with the inherent value of the individual. The approach is to check on the issues with the check on positive rights.
The global perspectives for the customer perspectives relates to the business intelligence is set with delivering the transformational communication, with showing the appreciation for the employee efforts to engage and encourage the people about the different jobs. (Wahi et al., 2016).
The organization need to embrace the customer centricity in the organization with encouraging the ideas with creativity and innovation. There are challenges related to the service designing the delivery that is based on improving the adoption and profitability for the products and the services. The business intelligence solutions are effective for the customer retention and the satisfaction which will help in improving the product launch, advertisement and the pricing efficiency. (Wahi et al., 2016).
From the organizational perspectives, there is a need to check on the portray of the law system of the incentives and the penalties, with seeking the regulatory environment that relates to provide a proper arena for the organizational behavior.
From the consumer perspective, the legal perspectives are related to the e-taxonomy which are based on the legal policy of product development, when it is related to the system modulations and service design and delivery.
Conclusion
BI focus on attaining the higher prioritization with the organization considering about determining the tangible benefits with the elimination of the costs of producing the legacy reports. Along with this, the data access is for the entire organization that needs to be enforced with the forms where the employees try to make a different in the organization. (Wahi et al., 2016). For supporting the approach, the organization need to check on the enterprise architects who can easily identify the suitable business projects with the forms to work on the level of commitment from the senior management.
Reference
Carillo, K. D. A. (2017). Let’s stop trying to be’sexy’–preparing managers for the (big) data-driven business era. Business Process Management Journal, 23(3).
Chuah, M. H., & Wong, K. L. (2015). Does the Demographic Factor Impact Enterprise Business Intelligence Maturity Initiaves in Companies in Malaysia?. In Perspectives on Business and Management. InTech.
Daneshvar Kakhki, M., & Palvia, P. (2016). Effect of Business Intelligence and Analytics on Business Performance.
Han, B., & Chou, S. Y. (2014). How business intelligence works when analytics meet guanxi. International Journal of Business Information Systems, 17(4), 440-452.
Howson, C. (2013). Successful business intelligence: Unlock the value of BI & big data. McGraw-Hill Education Group.
Kimball, R., Ross, M., Becker, B., Thornthwaite, W., & Mundy, J. (2015). The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence Remastered Collection. John Wiley & Sons.
Laursen, G. H., & Thorlund, J. (2016). Business analytics for managers: Taking business intelligence beyond reporting. John Wiley & Sons.
Lee, M. T., & Widener, S. K. (2015). The performance effects of using business intelligence systems for exploitation and exploration learning. Journal of Information Systems, 30(3), 1-31.
Phillips-Wren, G., Iyer, L. S., Kulkarni, U., & Ariyachandra, T. (2015). Business analytics in the context of big data: a roadmap for research. Communications of the Association for Information Systems, 37(1), 448-472.
Pickering, C., & Gupta, M. (2015, June). Self service business intelligence (SSBI) for employee communications and collaboration (ECC). In Collaboration Technologies and Systems (CTS), 2015 International Conference on (pp. 302-304). IEEE.
Sangari, M. S., & Razmi, J. (2015). Business intelligence competence, agile capabilities, and agile performance in supply chain: An empirical study. The International Journal of Logistics Management, 26(2), 356-380.
Serrato, M., & Ramirez, J. (2017). The Strategic Business Value of Big Data. In Big Data Management (pp. 47-70). Springer International Publishing.
Sherman, R. (2014). Business intelligence guidebook: From data integration to analytics. Newnes.
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