Business Process Management Assignment Analyzing Role Of BPM Within KFC
Business Process Analytical Plan
To prepare this business process management assignment, you are required to choose a realistic and detailed organisation or project, and analyse the Business Process Management (BPM) methods and techniques taught in the first three modules. Students are required to work on a process analytical plan (including As-Is and To-Be process mapping). In your analysis, consider and include the following:
- Critically analyse the role of business process management in your chosen case study
- Critically evaluate approaches to business process management and systems, their associated risked and implementation processes
The Business process analytical plan contains:
- Business or project process briefing
- Case based business or project process mappings (As-Is and To-Be)
- Critical analysis on two mappings where are applicable: Good Bad and Ugly; Costs and Benefits; Advantages and Disadvantages; Feasibility and Sensitivity etc.
Part A: Business Process Analytical Plan: “As-Is & To-Be” mapping
Review of module considered within the business process management assignment
Business project management combines information technologies with government technologies in order to deliver a beneficial output. There are three pillars of BPM which are technology, people and processes that are vital to satisfy the demands of the stakeholders. The existence of business project management was evident in the case of KFC Australia where the service industry implemented their new project with IoT sensors (Crozier, 2020). Working as a business analyst in the organization, the project of IoT sensors was documented in the form of an activity model which was further deployed by the project management team. As a part of the plan, the organization aimed to become more data driven which can increase their visibility to reduce bottlenecks and lead times. These can further capture large data in the store network of KFC and let the customers understand the business process of the organization.
On the other hand, the IoT project aimed to fit temperature sensors in the cool rooms, cookers and stores, where KFC used an iterative approach to improve their product sourcing that can ultimately increase their additional sales. They considered the four drivers of BPM which are increased productivity and quality, reduced costs and risks to deliver a project robust capability through their SQL server that will be required to ingest processed data in their software (Yu et al. 2018). Considering such approaches in BPM, the organization can drive up their costs and improve their customer services through the concept of cloud-based data lake Snowflake. With the help of BPM processes, KFC has also transformed their demand-driven industry to serve all customers round the chain through inventory sourcing by IoT sensors.
On the contrary, the business process of the IoT sensor project was undergone through an intricate designing phase where customer’s data was gathered from the mParticle platform in order to segment the digital customer base rapidly. In addition, the project manager studied the different processes of data collection under the SQL database that can deliver ‘datalicious data’ to the customers within the shortest possible time to satisfy the demands of customers. With the continuous business process for the project, the organization used what-if scenarios in order to gain insights of the wrong customer driven datasets that can negatively hamper the information services of IoT sensors (Ekanayake et al. 2019). However, BPM processes let the organization closely monitor their project phases where KFC intricately checked on their virtual machines to share external data sources through the overall effectiveness of the sensor system.
Case based business on project mappings
Project process mapping is determined to be a visual representation of activities underlying the business process in an organization. One such is the As-Is project mapping which outlines the current state of the process with the evidence of challenges during the mode of operation. Involvement of as-is project mapping to fit in the stores of KFC with IoT sensors can aid them to track the process of data visualization while gathering customer data and retrieval systems. The organization can adhere to this project mapping to learn about the teams who are engaged with the project of IoT sensors from top to bottom notch (Musa & Bashir, 2019). KFC can also include their suppliers and clients as a part of this process in order to get better visibility and transparency around the customer chain globally. The granularity behind the as-if mapping would entail the key members of KFC project team to consider the documentation process vividly in the need to launch an effective business process after the successful implementation of IoT sensors. It is mandatory to cover up all the information and review the IoT project progress from each department under a single meeting. As the business process of KFC is more a streamlined production approach, they can deploy the garbage bin sensors and other devices in order to gain data insights from the as-if process mapping. On the other hand, the as-if project mapping has improved the scalability process of KFC while focusing on the outline of redundancies during the execution of project operation (Lager, 2020). With the help of this project mapping phase, KFC has initially identified their low budgetary solvency for their IoT sensor project to scale as it was not bearable for them to cope up with an ongoing cost. KFC needed a cheap solution for their business project management phase that was further mitigated by the project making process through channel data optimization on their data charts. The organization encompassed the as-if approach to replicate their transactional database that can better store the sales data in and pull the data of sensor optimization of KFC to generate the KPI through business project management lifecycle. They would hold JAD sessions to entail the representative with the process gathering and document the activities with fastest and quality deliveries (Klimecka-Tatar, 2021).
The processed maps for KFC IoT sensor project phase would primarily gather their customer data sets within their product inventories to increase the transparency level among the customers. According to the as-is phase, the organization can manage the project flow process through data intelligence software to handle data-driven management. After the initiation of current modes of operation, they will undergo a to-be phase to gain insights on sensor optimization and deliver integrated actions around the information system of sensors. KFC can involve a To-Be mapping chain to manage the business process of IoT building by working with stakeholders and developing improvements in the current process to collaborate better features for the future system. Implementation of the to-be phase can also toggle in between the current and future phase where KFC can easily identify their challenges in project management associated with budgetary issues and timely redemptions (Fahimnia et al. 2019). By using the interventional approach of as-is and to-be mapping, KFC can be able to estimate their business risks thoroughly that can persist at their project model. Closely monitoring the data thefts, resource cost, timeline and swift relationship with suppliers can facilitate motivated employees in the workplace that is a vital key for business project management. Lucid chart can be used to capture the data-driven approaches of KFC through as-is mapping and model there to-be process by enhancing the outcomes of the project plan in an effective way. The organization can also quantify their business process by raising the return of investment from the new project of deploying IoT sensors in their stores in order to capture better data insights and maintain streamline flow as per the current business model of KFC (Martins et al. 2018). Creation of a functional business model through the combined force of as-is and to-be mapping can revolve around the business intelligence of KFC in the need to increase the visibility around the world and store network through operational reporting. Through such business process mapping of as-if and to-be, KFC has also transformed an outdated paper management system into a lean business system that can increase agility in their operational efficiency and save additional resources and money due to effective decision-making capabilities of the mapping chain. However, automation of business processes through IoT sensors through the process mapping can reduce the confrontation of bad service, frustration level of employees and financial difficulties that may emerge during their mapping phase of a business project (Nicholas & Steyn, 2020).
Critical analysis on two mappings
Project mappings can be widely used around the business process of KFC for their upcoming project on deploying IoT sensors throughout their stores. Involvement of as-if mapping is good for the existing business process of KFC where they will be able to create a solid foundation in the organization’s chain through large integration of sensory networks. The as-if mapping phase will let KFC project managers get an accurate view of the project workflow with the focus on risk mitigation plans and closely monitoring each and every activity set. To improve the current digital platform and information system with latest upgradation, KFC can take account of these as-is project mapping in order to reveal their track on success factors. The cost of not accessing the mapping phase in the project management of IoT sensors can incur great costs and can be expensive without the implications of as-if and to-be approaches (Aiyer, Panigrahi & Das, 2018). Per process map, KFC has estimated to account $500 per process map in order to capture wide data in store networks. The organization can work better through to-be approaches and can accomplish their objectives from as-if approaches as it will involve a large mapping project of IoT sensors that can increase the feasibility of their business process. On the other hand, the to-be mapping phase can turn out to produce twisted judgment or employee discontent that is often disadvantageous for the organization to conduct their project management. Lack of tolerance and ability to generate effective datasets on to-be project mapping can cause shortcomings for KFC as it often influences cloud-based data warehouses. In the absence of clear communication that often persists within the as-if mapping phase, the valuable data to sense temperature readings in KFC through IoT devices will turn inadequate for business processes (Nieto-Rodriguez & Sampietro, 2017).
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