Business Analysis in IT Services: A Case Study on Datacom’s Strategic Challenges (Hypothetical)

Business Analysis in IT Services

Introduction

The field of business analysis is important in assisting organizations to identify, understand, and resolve complex problems and link solutions to strategic objectives. This report is about Datacom, one of the major IT service providers in New Zealand, and critically discusses two major organizational challenges affecting it: the economic uncertainty and the slow uptake of emerging technologies. The report diagnoses the root causes and offers evidence-based solutions using SWOT analysis, Fishbone Diagram, and 5 Whys techniques. The objective is to explain the value that business analysts bring to the strategy of making informed decisions, increasing agility, and providing long-term digital transformation aspirations of Datacom.

Role Of Business Analysts in Datacom

Datacom is the largest IT solutions provider in Australasia, offering services such as Cloud services, Software development, IT consultations, and Business process outsourcing. In an environment with many different solutions, Business Analysts (BAs) connect the providers of IT solutions and the people who need them. At Datacom, a Business Analyst starts by gathering and eliciting requirements. A Business Analyst is expected to learn a lot about the organization and start thinking about long-term strategies. If a BA knows about work processes and the current market, they can develop clear and useful requirements in line with the business goals (Krajewska et al., 2024). Making sure project requirements are understood and represented by technical staff is important to avoid project failure (IIBA, 2021). As Datacom advances with cloud-based AI solutions, Business Analysts help foster new ideas and guarantee the needs of clients and the company are met (Ndlela & Tanner, 2023). Now, they carry out environmental scanning, engage with stakeholders, create process diagrams, assess possible solutions, and watch for benefits delivered to the customers, which strengthens the company’s ability to adapt (Khoroshavina et al., 2018). Operations inside Datacom are diverse, and they require the BAs to quickly adapt to external obstacles like economic volatility or shifts in policies. In response, the BAs act as internal consultants to guide decision-making using risk analysis, root cause analysis, and planning future operations. In addition to this, the ability to assess the market and recommend options and strategies to the organization will ensure the improvement of competitive resilience (Shah, 2017). Zhou et al. (2024) research points out that organizations that infuse BAs with the product, platform, and strategy teams experience higher rewards from the collaboration of IT capabilities and business goals, which is a model reflected in Datacom. Because of Datacom’s move into AI and machine learning services, the BA’s role is now to assess digital literacy, check for ethical issues in AI, and analyse business readiness for these technologies. BAs now tend to lead groups, innovate, and encourage changes across the company (Cooke, 2018). As a result of this, they can ensure that new technologies are put into practice correctly, efficiently, and in harmony with clients’ systems and rules.

In summary, BAs have evolved into a multidimensional strategic role. BAs are more than intermediate translators; they have become value creators and path assessors. BAs are leveraging data, strategic foresight, and organizational knowledge to help Datacom and its stakeholders thrive in a competitive market.

Business Issues

Economic Uncertainty and Market Volatility

Economic instability is one of the major concerns for New Zealand businesses. Since Datacom directly caters to these businesses, Datacom’s profitability is affected. Datacom’s own business survey revealed that 77% of the leaders of organizations believe that economic uncertainty is a significant threat to the operations of the organizations (Datacom, 2025). These changes include significantly growing inflation, currency fluctuation, and political instability, which altogether increase the unpredictability of the economy, which in turn makes the client’s budgets and IT investment timeline unpredictable. Problems in the economy cause difficulty for Datacom in estimating its finances, finding clients, and planning its service pipeline. According to Deloitte (2023), companies offering digital services may be hit hardest during economic slowdowns, since customers are most likely to cut down on discretionary IT expenses. Problems in moving Digital Transformation projects forward, renewing subscriptions, and migrating to the cloud cause both a downward trend in revenue and gaps in using the company’s workforce. Bakas & Triantafyllou (2018) point out that uncertainty increases risk and causes organizations to hesitate on important decisions, cut down on new ideas, and postpone changes. To keep growing and be relevant, Datacom must improve and change its services and ways of working with clients. Also, substantial, long-term projects with government agencies and large businesses mean Datacom Services’ revenue lacks flexibility during economic instability. When this issue appears, it makes the business revisit the market, offer more services, and put together a risk management strategy. Tushman and O’Reilly (2016) note that companies that bring analytical foresight to their planning do better than competitors in tough economic times. So, Datacom should look at how it can use its strengths to defend against outside threats through an appropriate strategy and flexibility.

The SWOT analysis is one of the most adopted tools that is used to scope the environment and diagnose the organization (Gurl, 2017). This tool enables a thorough examination of the internal and external factors that affect the organization’s decision-making process, matching with the external obstacles and environmental demands (Puyt et al., 2023). As for Datacom, SWOT analysis becomes ideal for these situations as it is ideal for evaluating how internal factors can be used or changed to tackle this economic volatility. According to Martinez (2017), SWOT analysis paves the way for future-ready organizations by strategic focus on adaptability and client readiness. Furthermore, Jarzabkowski and Kaplan (2015) argue that in economic downturns, organizations with proactive SWOT responses like service diversification and pricing innovations are likely to be more successful than their competitors. Even though some argue that its format is simple, new twists like a dynamic SWOT (Puyt et al., 2023) let analysts bring in data-driven methods for continuous updates. With this, Datacom can check regularly for issues arising from currency rates, late payments by clients, and issues with suppliers, and it makes better decisions about new services based on these observations. A Business Analyst (BA) does the SWOT process by conducting interviews, analyzing market information, and reviewing the company’s abilities internally (Milani, 2019). BAs at Datacom support executive teams in spotting problems that stay the same, plus any areas where outdated tactics are a drawback, like overlooking the SME market or applying rigid pricing rules, in conditions of economic volatility.

SWOT Analysis

The application of SWOT analysis in Datacom’s current state reveals its strengths and vulnerabilities amid economic volatility. The organization’s strengths, such as public sector relationships, diverse portfolio, and strong brand credibility across multiple countries, position it well during the short-term turbulence. These characteristics enhance the resilience of the organization and client retention during the downward trend of the organization (Caggese, 2019). Reliable partners with government and enterprise clients are preferred during an economic downturn phase (Westerman et al., 2014). However, the analysis also highlights the weakness, such as over-reliance on the large enterprises rather than SMEs, slow procurement cycles, and limited marketing to SMEs. These weaknesses significantly reduce the agility and the responsiveness of the organization in terms of the economic conditions of the country. As Kang et al. (2014) suggested, during a downward trend, client organizations should prioritize IT solutions that are modular and that deliver cost-effective, rapid ROI. As for Datacom, it is more focused on traditional models that rely on high capital models, this is poorly adapted to shifting consumer behavior.

The analysis shows great opportunities that are in line with the latest demands of the market. As IT companies keep needing cost-effective and secure solutions such as cloud management, cybersecurity, and automation, Datacom finds itself with the chance to adjust what it offers. This matches the government’s plans for digital development and the increase in small and medium-sized companies (MBIE, 2023). Selecting flexible and scalable methods in service delivery could make it possible for Datacom to take part in these new markets. In contrast, tough competition, rising costs, and indecisive clients make it obvious why transformation must happen urgently. Therefore, Datacom must keep its main clients satisfied and adjust its pricing, processes, and support approaches to keep ahead in the competition. Ndlela and Tanner (2023) state that firms operating in digital services that do not focus on clients may become obsolete. In other words, SWOT acts as a strategy guide instead of only helping with diagnosis. It aids Datacom’s Business Analysts to see how the organization needs to adapt internally to meet new challenges from outside the company.

To remedy the economic uncertainty affecting the client’s investment behavior, Datacom should open its services in a modular way and use various financial models that involve paying by milestone or after a certain fixed time and by subscription. The solution is very well connected to the SWOT findings, helping Datacom to act wisely in each area of its matrix.

First Datacom should use its strengths to its advantage, particularly its deep technical expertise and the credibility of its technologies. By establishing new methods to package existing services into service bundles. These bundles would maintain short-term operational efficiency. For example, Optimized cloud services for lower costs or cybersecurity in a basic way, only the parts that the clients need, like in Amazon Web Services (AWS), where they cater to a wide range of customers with different bundles (AWS, 2025). These bundles will be attractive in economic downturns as they’re not financially pressing. As Westerman et al. (2014) suggest, organizations with mature IT capabilities are well-positioned to provide scalable digital solutions by adapting to changing economic needs.

Second, to address the key weaknesses identified, Datacom should introduce smaller, modular service packages aimed at SMEs. These could include basic cloud services, automation tools, or simple cybersecurity checks. This would help reduce the company’s reliance on large enterprise clients and make its services more affordable for smaller businesses. To improve SME engagement, Datacom should also invest in targeted marketing campaigns and assign teams to focus on SME relationships. In addition, the company’s current payment structures need to be more flexible. Options like subscription pricing, milestone payments, or delayed billing would make it easier for clients to manage costs during uncertain times. As Wright et al. (2020) explain, flexible pricing can improve customer trust and help companies stay competitive. Datacom should also automate basic project tasks for smaller clients to lower costs and improve efficiency. These changes would make the business more adaptable and better prepared for future economic challenges.

In addition, the strategy helps the company take advantage of recent changes, like the rising interest in digital ways to save money and digital projects supported by the government in public services. According to Kang et al. (2014), when there is a recession, companies aim to use digital services to manage their expenses. With Datacom’s help in automation, right cloud usage, and security, it becomes vital and irreplaceable for businesses. Such services can be linked to programs in the public sector, including MBIE’s Digital Boost in New Zealand (MBIE, 2023). Jarzabkowski and Kaplan (2015) and Ndlela and Tanner (2023) have found that IT vendors that update how they charge and offer services according to market conditions grow in sales, trust, and loyal customer base compared to those who stick to the same model. Importantly, this choice allows Datacom’s Business Analysts to play a major part in the change process. They are responsible for breaking down the customer market, calculating return on investment, and arranging services in a way that guarantees their success. Pappas et al. (2018) say that BAs who react to market changes by adjusting their offerings help organizations remain agile and maintain their competitiveness when the economy is in turmoil, which is needed by Datacom.

Adoption of Emerging New Technologies

Datacom, as a leading IT solution provider in Australasia, is actively investing in leading technologies. These technologies include artificial intelligence (AI), Machine learning (ML), and automation. This is to stay relevant in this competitive field of digital solutions. However, despite the investments, the speed of emerging technologies and their complexity of adoption still pose a significant threat to its internal transformation and client delivery. While Datacom has initiated innovation plans, staying ahead of technologies like generative AI, intelligent automation, and edge computing requires more than financial investment; It demands organizational learning, strategic alignment, and scalable implementation frameworks. From the internal perspective, one major challenge is being capability-ready. Research by Jöhnk et al. (2021) shows that digital transformation fails when organizations believe they are ready for the change but find it hard to align their organizational culture, employees’ skills, and working processes. As part of this, Datacom is giving training to technical teams, bringing leadership together on the latest trends, and designing services that work well in different client sectors. If this foundation is missed, the use of AI by businesses could become fragmented or ineffective. In addition, Datacom competes with similar companies that can bring AI tools to customers quickly because they build these tools in the cloud. Should Datacom fail to improve its internal operations and Training/Enabling process, it could drive away important clients to those businesses that gain value from innovation sooner. As pointed out by Kim et al. (2022), when businesses do not use new technologies, they eventually become less competitive, accumulate debts, and run their operations ineffectively. This matter puts extra strain on the job of the Business Analyst (BA). When technology is advancing swiftly, methods used in the past cannot keep up. As a result, BAs ought to translate technology into useful business actions and guide various participants through the changes involved (Ndlela & Tanner, 2023). In the end, the matter is about strategy. Datacom seeks to keep improving its long-term place in the industry by helping everyone access, learn about, and gain benefits from AI technology. Even so, changing these aspects calls for reviewing the way services are marketed, trained, and secured, which is not the same as simply using new software.

Datacom’s difficulties in starting to use AI and automation can be better understood with the powerful and combined techniques of the Fishbone Diagram and 5 Whys. This issue includes various parts, such as certain technical issues, skills not being up to the task, a lack of a suitable strategy, and clients who are reluctant. The Fishbone Diagram makes it easy to analyse such challenges since it separates factors by people, processes, technology, and strategy (Ilie & Ciocoiu, 2010; Ishikawa, 1982). This way, BAs in Datacom can investigate both the slowdown in AI initiatives and the hidden factors, like employees who aren’t prepared, obsolete ways of delivering, and a lack of cooperation between executives and other departments. Jöhnk et al. (2021) explain that issues in digital transformation usually come from not being ready as an organization and having missing capabilities, not from the technology.

However, even though the Fishbone Diagram draws out many reasons, it does not rank the reasons on its own. Here, the 5 Whys technique can be very helpful. By using this method, analysts work through an issue by asking related questions to find out what is wrong, as presented by Serrat (2017). In Datacom’s case, discovering that AI pilots are not being used can eventually point to the absence of a proper organizational learning initiative hidden behind normal business numbers. To avoid issues in adopting new technology, this type of iterative process is very important (Kim et al., 2022)

In addition, both tools are practical and collaborative, which makes them suitable for BA analysis. They can be applied in various scenarios such as stakeholder workshops, sprint meetings, and strategic planning to build the solution for the collective problems the organization faces (Milani, 2019). In Summary, combining Fishbone and 5 Whys allows Datacom to address the key issues instead of just dealing with the problem’s consequences, which makes them key tools in managing complex new technology adoption situations.

Fish Bone Diagram

5 Whys

The above Fishbone Diagram offers a systematic method to list and classify the complex factors contributing to the fact that Datacom is struggling to implement the emerging technologies successfully, such as AI and automation. Although this problem may seem technical, it is mainly based on an organizational mismatch. The diagram helps to divide the problem into six major categories, which are people, processes, technology, strategy, governance, policy, and external environment. Within the people category, the absence of AI literacy across departments, change management training, and middle management resistance can be noted as severe blockers. To integrate AI successfully, as Jöhnk et al. (2021) claim, there must be not only technical proficiency but also a flexible culture of work, which, unfortunately, Datacom lacks now. Strategically, the innovation roadmap at Datacom is not combined with the key performance indicators of the core business, which leads to a lack of alignment between AI experimentation and the actual delivery of value. Governance-related issues related to AI regarding privacy and ethics, and a lack of a compliance framework, cause hesitation to move to new technologies. Lastly, external environment-induced obstacles related to clients comprise doubt regarding the business worth of AI and the presence of competitor pressure in the form of lean and AI-native companies that can deliver models much quicker and at a lesser adoption cost (Wamba et al., 2020).

To support this higher-level categorization, the 5 Whys tool will assist in digging deeper into the most essential of these problems. Beginning with the surface problem, or the fact that Datacom cannot scale AI projects, the technique reveals that the real issue here is the lack of structure and organization-wide capability building and change facilitation. Recurring questioning allows one to realize that the absence of a common comprehension of the value of AI throughout departments can be attributed to a deficiency in education structures and strategic motives. Ohno (1988) developed the 5 Whys at Toyota and emphasized that it reveals hidden systemic weaknesses, and it is very applicable in the Datacom situation where no technological solution is needed but a cultural and strategic change. When used together with the 5 Whys, the Fishbone Diagram shows that Datacom does not have an adoption issue because of the absence of tools or investment, but because of disparate preparedness, strategic uncertainty, and resistance to change within the ranks. These observations help Business Analysts to move beyond treating symptoms and start creating strategies that target the actual causes of transformation failure.

To address the underlying obstacles that Datacom needs to overcome to embrace the emergent technologies, especially AI and automation, the organization should apply an extended AI Enablement Strategy based on organizational capability development, systematic change management, and client co-creation models. The solution is explicitly aimed at addressing the causes that Fishbone and 5 Whys analyses reveal, namely, the lack of internal preparedness and common knowledge frameworks that can help innovation scaling or maintenance.

The first solution is the initiation of an AI literacy and enablement program across the company to upskill non-technical employees. This would consist of cross-functional workshops, business use-case training, and role-based AI awareness modules to raise internal awareness and decrease resistance. According to Jöhnk et al. (2021), AI projects are not doomed because of a lack of technology but because workers do not have the competencies and confidence to use them in a meaningful way. Kim et al. (2022) also state that Business Analysts (BAs) are required to fulfil the role of change intermediaries and assist in translating AI potential into tangible benefits across various business departments. Secondly, Datacom ought to create AI programs with clients, particularly SMEs and government sector partners, to showcase concrete ROI and ease concerns concerning AI adoption. Wamba et al. (2020) have determined that the adoption rates of AI solutions rise substantially when they are created with stakeholders’ help and when there is a direct association between the solutions and cost reductions or improvement in efficiency. This helps not only in creating trust in the clients but also helps in repositioning Datacom as a long-term innovation partner rather than being a transactional vendor. Finally, Datacom will need to include adaptive change management frameworks, agile coaching cells, innovation sprints, and internal champions. These approaches facilitate organizational learning and allow cultivating cultural alignment, which is required in the context of digital transformation in established service firms (Susanti et al., 2023).

These solutions are both technically feasible and strategically aligned with Datacom’s goal of being the future-ready digital enabler in Australasia. By adapting and overcoming internal obstacles, Datacom can change into an AI-first organization that will be leading in terms of innovation and catering to clients with the best in the market.

Conclusion

In this report, two of the most important challenges at Datacom were discussed: the uncertainty in the economy and the poor implementation of emerging technologies. The strategic gaps identified through SWOT analysis concerned pricing flexibility and SME outreach, so the solution focused on the modularity of services and billing flexibility. Internal capability gaps and misaligned strategies were discovered as the inhibitors of AI adoption through Fishbone and 5 Whys analysis, and an AI Enablement Strategy was proposed to develop preparedness and co-creation. The two solutions are in line with Datacom’s strategic objectives and demonstrate the role of the Business Analyst as a major force that guides through uncertainty and facilitates innovative change within the organization.

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