MIS701 Digital Business Analysis Report 1 Sample

MIS701 Digital Business Analysis Report 1

Assignment Details

This assignment is based on the case study of “Horizon Health” and the management's intention to analyse their current company situation and the market and explore Digital/AI technologies to meet their business goals, such as track client interactions, manage appointments, access operational guidelines, improving organisational performance and/or other business values, and to extend its brand presence.

Specific Requirements

Your tasks include:

• Part 1: Brainstorm and develop a mind map of the problem space to explore the problem space using the Business Analysis Core Concept Model (BACCM) that you learn in Topic 1. This is scheduled to be conducted in Week 1, A1.P1.

• Part 2: Conduct a situation analysis using the SWOT technique to examine Horizon Health’s situation in terms of S, W, O, and T, as well as develop two alternative technology strategies using the TOWS matrix technique. You are required to justify how your proposed technology strategies can improve the alignment between internal elements and external elements identified in the SWOT analysis and make and justify one strategy with associated recommendations. This is scheduled to be conducted in Week 2, A1.P2.

• Part 3: The executive managers of Horizon Health healthcare have made the decision to develop an analytics tool that will enable the service operational teams to query various data sets. This tool will provide access to information such as franchisees and their locations, appointments scheduling, clients and their interactions, workload on healthcare professionals etc. You are required to conduct a stakeholder analysis to identify relevant stakeholders, examine their needs, risks, and levels of influence vs importance in relation to the analytics tool development, and suggest a stakeholder engagement plan. This is scheduled to be conducted in Week 3, A1.P3.

• Write an executive summary based on the analyses and findings from the above tasks.

• Format and present your report professionally. Use FeedbackFruits - an AI writing assistant available under Assessment Resources to check your report. Two sample report templates are provided also under Assessment Resources.

• You must correctly use the APA7 style of referencing, and include in-text citations when quoting, referring to, summarising, or paraphrasing from any source:

Deliverable: Business Report

• A cover page (not included in the word count) that includes the following information:

• Report Title
• Unit code and name
• Student name and student ID

• A table of contents (not included in the word count)

• An executive summary of max. 300 words is required (included in the word count)

• Report Content: Use the MIS701A1-Content-Checklist to make sure you cover all the required content (included in the word count)

• References (not included in the word count)

• Optional appendices (not included in the word count – not subject to assessment)

Solution

Introduction

At a time when digital and AI are disrupting value chains across industries, Horizon Health seeks to leverage digital solutions to improve operational effectiveness and service delivery. This report discusses the current business environment of this organization and analyses the role that could play to attain these goals. The analysis is then done systematically through the application of the Business Analysis Core Concept Model (BACCM) to describe the problem scope. SWOT offers the assessment of internal strengths and weaknesses of Horizon Health together with the opportunities and threats present in the external environment in creating the TOWS-based technology strategies. Moreover, a stakeholder analysis evaluates potential and active organisms involved with a new analytics tool to enhance the decision-making process when managing the client. The findings will assist in making strategic suggestions that correspond to the hypothesis that Horizon Health’s digital plans should correlate with total business objectives for market differentiation.
Part 1: Mind Map (BACCM Analysis)
Mindmap of problem space

Figure 1: Mindmap
(Source: Self-created)

Business Analysis Core Concept Model (BACCM)

1. Need

Horizon Health needs a system upgrade in terms of tracking client interaction and appointments, as well as improving the functioning of the organization. Some of the challenges they face include data entry, multiple inconsistent scheduling methods, and rudimentary reporting. This leads to poor patient interaction, patients waiting long hours and an extensive amount of paperwork for clinical staff. Also, issues of regulation in the health sector enhance the need to have a structural approach towards data security (Aldemir & Uysal, 2025). An effective solution in this case would be a digital tool enhanced by Artificial Intelligence that helps track appointments, client communication, and workload allocation in real time. Thus, Horizon Health can gain more satisfied patients, enhance its usage patterns, and follow current for management assignment help guidelines to become a pioneer in the healthcare system.

2. Solution

Based on the identified needs, Horizon Health requires a full-fledged digital solution that would allow for all the necessary functions to be performed as efficiently as possible. This includes AI-based analytics that monitor the franchisee’s business and interaction with patients and appointments in real time. Moreover, the implementation of the cloud-based scheduling system would make the booking and allocation of the healthcare professionals’ schedules easy. Such measures would assist in the reduction of administrative load, elimination of common working days’ clashes and improved efficiency (Allam, 2025). IT assimilation and adequate adherence to the data protection laws also form significant success principles in implementation. Also, a training needs analysis for the new system implementation will be helpful for the healthcare professionals and other administrative staff.

3. Value

The use of digital solutions will dramatically improve the operation of Horizon Health as well as provide benefits in several areas. The essential operations of each client will be streamlined, avoiding delays in scheduling and many other recurrent errors. A positive patient experience should be expected because of efficient booking, quick access to a doctor, and individualized attention. Further, real-time statistics will enable the management to make important decisions concerning the allocation of resources, expansion of the business and enhancement of the services (Asfahani, 2024). Data security regulation compliance will also lead to improvement of the company’s credibility and value to the clients. In the long run, these technologies will enable the continued growth of businesses, enhance the quality of service delivered, and help to solidify Horizon Health’s position in the competitive landscape of the healthcare sector.

4. Change

The transformation to a digital environment entails major changes within an organization. There will be changes in employees’ working patterns, and therefore, training programs will have to be implemented to enhance change. This is because people, especially lower-level staff, will most likely resist changes that alter their working climate and may call for change management strategies. Thence, necessary adjustments, both in the implementation of AI tools and cloud-based systems, need to play within the IT framework to account for security and compliance (Banaeian et al. 2024). Moreover, the change management can be done gradually to avoid any significant impact on business operations. Regular maintenance of the system and feedback will also help improve the system because it will be able to serve the needs of stakeholders as well as pass positive returns to business.

5. Stakeholders

Stakeholders for this digital change are personnel, patients, franchisees, IT specialists, and other members of the management. There is a need to establish a suitable scheduling and workload management system to enable healthcare professionals to perform their tasks efficiently. Many clients, and patients in particular, accept straightforward appointment booking and other services. The franchisees are made to benefit from the standardized procedures and operation policies formulated. IT professionals have the responsibility of undertaking integration of systems, secure data management and provision of compliance. New technologies are managed and adopted within the company at the executive management level to support the business strategies (Baset & Jradi, 2025). It is essential to involve all stakeholders by providing them with training, feedback, and other forms of decision support as well as adopting an implementation strategy that comes in phases.

6. Context

Target’s operational and regulatory environment highly determines the success of Horizon Health’s digital transformation. The domain of healthcare is very sensitive, and it is compulsory to conduct thorough compliance with the requirements set by regulations that are GDPR and HIPAA in particular. Furthermore, the degree of competition requires organizations to progress and advance their practices constantly. Horizon Health is an organization that works in a fairly dynamic environment that is characterized by evolving technologies such as artificial intelligence, cloud computing, and analysis (Fenwick et al. 2024). The organization has to weigh the costs of the project and its return of investment or cost-benefit analysis of the digital solution. Therefore, by integrating digital initiatives with the current technological advancement, applicable rules, and its corporate objectives, Horizon Health can realize sustainable prosperity.

Part 2: SWOT & TOWS Analysis

SWOT Analysis

Table 1: SWOT analysis
(Source: Self-created)

TOWS Matrix

Table 2: TOWS Matrix
(Source: Self-created)

Strategy Development and Recommendations

Table 3: Overview of strategy
(Source: Self-created)

Selected strategy

Recommended Strategy: AI-Powered Appointment and Client Management System

It is seen that by adopting an AI-based appointment and client management system, Horizon Health can improve its operations. This system will incorporate artificial intelligence chatbots and voice interfaces for appointments and patient reminders, thus cutting time on managing client issues. There shall also be algorithms used to enhance the time and efficiency of the available resources (Jobe et al. 2024). Also, in terms of analytics, patients’ throughput and service requirements will be analyzed and managed in real time. Horizon Health should extend the integration of AI solutions to existing systems to increase efficiency, decrease errors, and improve patient’ satisfaction.

Justification for the Strategy

In the SWOT analysis of Horizon Health, there are some weaknesses and threats that the AI-powered appointment and client management system can address. It reduces manual scheduling disparity (W1) and improves real-time scoring for performance monitoring (W2) with other opportunities such as the increasing popularity of AI-based healthcare solutions (O1). Besides, there are also other advantages, such as minimizing administrative work so that the healthcare professionals can utilize their time for providing care to patients (Li et al. 2025). This also promotes compliance with the data privacy laws (O4) since the data collected will be protected. Using AI as a growth strategy for Horizon Health has benefits on operational efficiency, patient experience, and competitive positioning, as well as risk factors such as inflated technology costs (T2) and employee reluctance (W3).

Action Plan for Implementation

Table 4: Action plan
(Source: Self-created)

Measuring Success

In evaluating the efficiency of this system in Horizon Health, the following operational, patient experience, and financial benchmarks will be used as KPIs.

● Operational Efficiency: The Possibility to decrease the time needed to schedule the appointments, increased efficiency of the staff, compatibility with the current equipment and other systems. This target will be achieved by reducing scheduling errors by 30 to 40% and the workload associated with manual scheduling.

● Patient Satisfaction: Higher levels of client satisfaction due to use of automated reminders and a decrease in response time. Quantitative assessments such as surveys and feedback scores will also help to measure the improvement of patient satisfaction by 20%.

● Financial Impact: It also leads to the elimination of some administrative overhead costs with enhanced utilization of appointment slots. It will be easy to record an increase in the revenue by 15–25% where scheduling has been optimized. 

Part 3: Stakeholder Analysis & Engagement Plan

Stakeholder Identification

Table 6: Overview of stakeholders
(Source: Self-created)

Stakeholder Needs Analysis

It is important to consider the stakeholders’ requirements that would act as a guideline in developing a Horizon Health analytics tool that will be user-friendly. The executive managers who are internal stakeholders expect to have high-level dashboards as well as performance indications for decision-making. These service operational teams require timely information on schedules and workload, particularly concerning appointments. Workload tracking is essential to healthcare professionals since it helps increase productivity and decrease stress (Mahadevkar et al. 2024). IT and data security personnel need hands-on ways of achieving proper governance on data to meet all the security policies, while data analysts require clean, structured data to work on.

Franchise owners are examples of those external stakeholders who need performance indicators and revenue figures for their business enhancement. It is equally underlined that clients and customers today expect better scheduling of appointments and enhanced delivery of services. The authorities stress certain adherence to data privacy laws, while the vendors need to understand the precise system requirements to implement sustainable and effective solutions.

Risks and Challenges

The creation and deployment of the analytics tool at Horizon Health are accompanied by specific threats and difficulties. The biggest issue is related to data privacy and security threats as health data is sensitive and limited by the GDPR and HIPAA regulations. Lack of adequate protection measures means that the patient’s information may be easy prey to hackers and legal lawsuits.

The user adoption may be an issue with the consumer, such as the target consumers are somewhat technologically cautious, especially the healthcare practitioners, and they may be a little acquainted with analytics tools. Resistance to change poses the threat of slowing down the implementation and decreasing the effectiveness of the intended improvements. Several ways of training and support shall be provided to enhance the rise of the system. Concerns surrounding compatibility with existing IT systems can give rise to technical incompatibilities and the need to troubleshoot and adapt in this respect (Nie et al., 2025). Thus, system scalability must be made to accommodate the rising data volumes but should not come at the cost of system performance. The final disadvantage is the high cost of development and maintenance, which puts pressure on the financial resources of an organization.

Influence vs. Importance Matrix

Figure 2: Stakeholder matrix
(Source: Self-created)

Stakeholder Engagement Plan

Conclusion

The development and integration of the advanced AI appointment and client management system and cloud-based analytics at Horizon Health will enhance the operations of the company along with patient satisfaction and data privacy. Using the SWOT and TOWS plan, it was possible to determine strategies that would maximize strengths while responding to the threats present in the external environment as well as conquer weaknesses. These are helpful as the stakeholder engagement plan indicates that all the parties, from the executive managers to the healthcare professionals, are involved in the process. Through the use of Artificial Intelligence, real-time Analytics and Action to embrace regulatory compliance, Horizon Health can work, schedule and make intelligent decisions on the use of resources. Mitigating risks like cyber-security, adoption, and integration to change will allow for long-term success through areas such as training, gradual implementation, and ongoing evaluation. Thus, this presents Horizon Health as a technology clinically advanced healthcare facility whose change transformation will enhance patient outcomes, revenue streams, and compliance to existing laws.

References

Aldemir, C., & Uysal, T. U. (2025). Artificial intelligence for financial accountability and governance in the public sector: Strategic opportunities and challenges. Administrative Sciences, 15(2), 58. doi:https://doi.org/10.3390/admsci15020058

Allam, H. (2025). Prescribing the future: The role of artificial intelligence in pharmacy. Information, 16(2), 131. doi:https://doi.org/10.3390/info16020131

Asfahani, A. M. (2024). Fusing talent horizons: The transformative role of data integration in modern talent management. Discover Sustainability, 5(1), 25. doi:https://doi.org/10.1007/s43621-024-00212-7

Banaeian Far, S., & Imani Rad, A. (2024). Internet of artificial intelligence (IoAI): The emergence of an autonomous, generative, and fully human-disconnected community. SN Applied Sciences, 6(3), 91. doi:https://doi.org/10.1007/s42452-024-05726-3

Baset, A., & Jradi, M. (2025). Data-driven decision support for smart and efficient building energy retrofits: A review. Applied System Innovation, 8(1), 5. doi:https://doi.org/10.3390/asi8010005

Fenwick, A., Molnar, G., & Frangos, P. (2024). The critical role of HRM in AI-driven digital transformation: A paradigm shift to enable firms to move from AI implementation to human-centric adoption. Discover Artificial Intelligence, 4(1), 34. doi:https://doi.org/10.1007/s44163-024-00125-4

Jobe, P. S., Yilmaz, M., & Ilgın, H. E. (2024). A roadmap for a metaverse-based digital governance: A case of the gambia. PLoS One, 19(12) doi:https://doi.org/10.1371/journal.pone.0314388

Li, D., Nan, J., Burke, A. F., & Zhao, J. (2025). Battery prognostics and health management: AI and big data. World Electric Vehicle Journal, 16(1), 10. doi:https://doi.org/10.3390/wevj16010010

Mahadevkar, S. V., Patil, S., Kotecha, K., Soong, L. W., & Choudhury, T. (2024). Exploring AI-driven approaches for unstructured document analysis and future horizons. Journal of Big Data, 11(1), 92. doi:https://doi.org/10.1186/s40537-024-00948-z

Nie, J., Shen, J., & Ren, X. (2025). Digital infrastructure, new digital infrastructure, and urban carbon emissions: Evidence from china. Atmosphere, 16(2), 199. doi:https://doi.org/10.3390/atmos16020199