EBUS612 E-Business Enterprise Systems with SAP

Introduction

In the present era of using business, the use of business intelligence system is increasing due to large number of business operations and limited time to complete the same. However, there are some companies that are facing issues by not using business intelligence techniques yet. This report aims to analyze the issues in provided business case of CPM. Some of the main issues include lack of varied stock of components and finished products, availability of components, increased time, disruptions in the production processes, and increased time in scheduling the production. Based on analysis, necessary solutions for the improvements would also be provided by using appropriate functions for integration and business intelligence (Hadi et al., 2018). The business challenges identified in the case is demand fluctuation. Apart from this, component availability is the business challenge faced by the company that may directly affect the supplies and their plan of production. However, it is essential to understand thecompany's internal production efficiency to deal with such challenges. Issues aboutcustomer services are also seen within the company's business environment, so it is essential to deal with such problems to have better efficiency for different functions and other planning for all the company's operations. It is very important to understand accurate customer demand to deal with the demand fluctuation challenges. Apart from this, there is a need to have assembly planning to have effective coordination of component supply within the managerial practices of the company to have effective results.

Integration and business intelligence issues

Figure 1 Integration and business intelligence issues

(Source: Self-developed)

• Lack of BI strategy:With an ERP system,it sometimes becomes challenging to maintain stability by clearly defining the different strategy that the company needs to formulate (Ali & Miller, 2017). At the same time, within the integration and business intelligence, it is essential to develop strategies. In the absence of preventive strategies, it might become difficult for CPM to deal with the business intelligence solutions as per their requirement. Hence, devising a plan before adopting a resolution is very important as confusion may lead to the failure of the adoption (Heinzelmann, 2017). However, this can directly help get more critical requirements by creating a proper roadmap for overall business intelligence and integration by making significant use of different operations that may create better utilization of the whole business of CPM.
• Lack of training and execution:Many times, it has been seen that in the absence of training and execution, the business intelligence and integration may go wrong. With a given case of CPM Ltd, it is also the same. The company has a well-articulated requirement and sounding strategic implications. Still, despite that, the company lacks technical skills like maintaining and supporting different applications used within the ERP system (Jagoda& Samaranayake, 2017). This directly creates a lack of execution that may result in creating barriers for the business intelligence. Moreover, the company needs to focus on understanding the need for required resources to benefit from better solutions for the system. They also need to spend wisely on providing ongoing training so the users can understand how the particular system can be used effectively (Massaro et al., 2019). 
• Inadequate flexibility:If the ERP system is not adequately flexible, it may become a problem for CPM to adapt (Reitsma & Hilletofth, 2018). This may create a little backward in terms of performance and resources for the company. It is equally important to reorganize different business activities with suitable team members who work for the same to maintain the level of flexibility (Liang & Liu, 2018). In the given company, the ERP system is used to note down all the sales managers' sales. But at the same time, it is equally important to maintain flexibility by choosing the right software with the specific requirement to ensure better integration and business intelligence to eliminate the lack of flexibility risk.
• Maintenance cost: Such systems have a huge amount of maintenance cost regularly, which may create an unnecessary cost burden on CPM (De Silva, 2019). At the same time, the company needs to understand that this can directly impact the integration and intelligence level of the business. So for that reason, it is very important to utilize all the features of the given software to maintain the frequency of different business activities by mobilizing business processes and other speeds of functionality to meet the targets (Bordeleau et al., 2020).

Business intelligence solution

Business intelligence

Business intelligence is a technology-driven process for analyzing data and delivering actionable information that helps executives and managers make the best business decisions possible (Liang & Liu, 2018). A company needs to involve itself within the business intelligence to better leverage software and services that can help them transform data into actionable insights. Business intelligence software can be used to create value from big data. For the company in the given case, it is very important for them to involve themselves in the business intelligence technologies so that they can have better dashboards and sales management for their services with the existing data discovery tools (Caseiro& Coelho, 2019). Business intelligence leverage software and services can be used to have better actionable plans for the company to deal with their tactical and strategic business decisions. It is very important to have business intelligence involved within the company to have more innovative intelligence within the work practices to deal with the partner's aura vendors that can help create the best solutions to meet the changing environment of business (Rikhardsson & Yigitbasioglu, 2018).

Figure 2 Business intelligence

Source (Bukeh, 2020)

Solutions

The standard functions of business intelligence include online analytical processing, dashboard development, process mining business, performance management, prescriptive analytics, and some (Heinzelmann, 2017). These are some standard functions of business intelligence that helps in providing effective solutions to CPM. A brief description of these functions is discussed below: 

• Data mining:Data mining is a process used by companies to turn raw data into useful information. Using software to look for patterns is very important to understand the mutual benefits that can be used to provide effective marketing strategies (Daradkeh & Moh'd, 2018). Moreover, this process can help CPM in creating suitable market strategies as per the requirement of the companies that can further help in marinating orders of the customers. This would further depend upon the effective data collection and another process that is related to the computer. It would also help in keeping record of different type of stock like finished products as well as components. On the basis of data mining, relevant information related to the continuous suppliers and customers can be stored to use in future transitions.
• Descriptive analytics:This is known as an interpretation of historical data to have a clearer understanding of the ongoing changes in the business. This helps understand the range of historical data to have a better comparison (Sun et al., 2018). It is the process of making a comparison with historical data to have a better understanding of future outcomes. It can also help define business strategies by looking at the holistic view of the performance and trends of CPM (Hadi et al., 2018). It can help the management in keeping record of the customers and suppliers who are permanent to CPM.
• Performance benchmarking:A benchmark is a standard against which security and investment management performance can be maintained (Sun et al., 2018). It is very important to have a benchmark that can help in creating better outcomes. It can help in managing the performance of different processes like demand received and fulfillment in context to the availability of components in CPM (Neubert & Van, 2018). 

Business intelligence technologies/tools

Business intelligence technologies help decision-makers to make informative decisions. There are various amounts of technologies available that can help in dealing with business intelligence solutions faced by CPM. There are technologies like Microstrategy or metrics inside. Suchtechnologies help deal with the efficiency of business intelligence to have resulted outcome (Arnott et al., 2017). At the same time, SAS and Qlik are some other available technologies that can also be used to have effective results of all the working operations in the CPM. Apart from this a business intelligence technology also includes data warehousing and dashboards. It is very important to understand some basic functions of business intelligence that are discussed above to have more effective performance management within CPM (Massaro et al., 2019). Also, these kinds of tools and technologies are very important within business intelligence to maintain the level of efficiency as CPM is already dealing with the production disruptions. It also helps provide better report functionality and other tools related to identifying data clusters to support the mining techniques by maintaining the performance managerial outcomes. This can further be helpful in making production related decisions like batches to be run or units to be produced in each batch.

Suitability and contribution to business case

Business intelligence comprises different strategies and technologies that help create better product and service suitability in different markets, resulting in more marketing efforts (Bordeleau et al., 2020). Business intelligence also helps in dealing with some common functions like dashboard development, process mining, etc. Business intelligence is highly suitable for the present business case of CPM. This is because it can help deal with sales management by keeping a constant check using different functions (Mosca&Civera, 2017). Also, it can help in providing required data quickly wherever necessary by using one of the main functions like data mining. The company is facing some issues with demand fluctuation and component availability, so for that reason, business intelligence is highly suitable to reduce the barriers of such issues.

Moreover, it can help contribute to the long-term fulfilment of the suppliers by maintaining the internal production efficiency at CPM. The company needs to understand the effect of delay of component availability by making the correct use of business intelligence so that the control can be done at the right stage (De Silva, 2019). Also, to improve customer services and production efficiency, business intelligence is one of the only solutions available for the company that can result in better operations and maintenance of different functions that need to be managed and predicted at the same time to meet the current demand. With the ERP system, it is very important to make the necessary contribution by making the use of different functions of business intelligence (Neubert & Van, 20180. It can help focus upon the knowledge about the accurate customer demand to significantly deal with the demand fluctuations issues in CPM. 

Conclusion

The company needs to understand their business challenges to deal in the most significant way by formulating different strategies. It is highly suggested for the company to go with the business intelligence solution so that the necessary tools and techniques can be used to deal with the sales management and other operations at their operating. These tools and business intelligence tools can help the company achieve effective results of all their working operations that include different services that they are offering to their customers. Apart from this, certain integration and business intelligence issues discussed above made it clear how important it is to formulate business intelligence within the system that the company is operating at. In the end, it can be stated that this is intelligence is highly suitable for the company to deal with their present scenario.

References

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