Medical Data Vision (3902) SWOT Analysis / TOWS Matrix / MBA Resources

Introduction to SWOT Analysis

SWOT Analysis / TOWS Matrix for Medical Data Vision (Japan)

Based on various researches at Oak Spring University , Medical Data Vision is operating in a macro-environment that has been destablized by – increasing government debt because of Covid-19 spendings, geopolitical disruptions, there is backlash against globalization, increasing energy prices, competitive advantages are harder to sustain because of technology dispersion, increasing commodity prices, central banks are concerned over increasing inflation, cloud computing is disrupting traditional business models, technology disruption, etc

---

---

---

---

Introduction to SWOT Analysis of Medical Data Vision

SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University, we believe that Medical Data Vision can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Medical Data Vision, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Medical Data Vision operates in.

According to Harvard Business Review, 75% of the managers use SWOT analysis for various purposes such as – evaluating current scenario, strategic planning, new venture feasibility, personal growth goals, new market entry, Go To market strategies, portfolio management and strategic trade-off assessment, organizational restructuring, etc.

---

SWOT Objectives / Importance of SWOT Analysis and SWOT Matrix

SWOT analysis of Medical Data Vision can be done for the following purposes –
1. Strategic planning of Medical Data Vision
2. Improving business portfolio management of Medical Data Vision
3. Assessing feasibility of the new initiative in Japan
4. Making a Biotechnology & Drugs sector specific business decision
5. Set goals for the organization
6. Organizational restructuring of Medical Data Vision

---

Strengths of Medical Data Vision | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The strengths of Medical Data Vision are -

Ability to recruit top talent

– Medical Data Vision is one of the leading players in the Biotechnology & Drugs industry in Japan. It is in a position to attract the best talent available in Japan. The firm has a robust talent identification program that helps in identifying the brightest.

Digital Transformation in Biotechnology & Drugs industry

- digital transformation varies from industry to industry. For Medical Data Vision digital transformation journey comprises differing goals based on market maturity, customer technology acceptance, and organizational culture. Medical Data Vision has successfully integrated the four key components of digital transformation – digital integration in processes, digital integration in marketing and customer relationship management, digital integration into the value chain, and using technology to explore new products and market opportunities.

High brand equity

– Medical Data Vision has strong brand awareness and brand recognition among both - the exiting customers and potential new customers. Strong brand equity has enabled Medical Data Vision to keep acquiring new customers and building profitable relationship with both the new and loyal customers.

Diverse revenue streams

– Medical Data Vision is present in almost all the verticals within the Biotechnology & Drugs industry. This has provided Medical Data Vision a diverse revenue stream that has helped it to survive disruptions such as global pandemic in Covid-19, financial disruption of 2008, and supply chain disruption of 2021.

Training and development

– Medical Data Vision has one of the best training and development program in Healthcare industry. The effectiveness of the training programs can be measured in – employees retention, in-house promotion, loyalty, new venture initiation, lack of conflict, and high level of both employees and customer engagement.

Highly skilled collaborators

– Medical Data Vision has highly efficient outsourcing and offshoring strategy. It has resulted in greater operational flexibility and bringing down the costs in highly price sensitive Biotechnology & Drugs industry. Secondly the value chain collaborators of Medical Data Vision have helped the firm to develop new products and bring them quickly to the marketplace.

Strong track record of project management in the Biotechnology & Drugs industry

– Medical Data Vision is known for sticking to its project targets. This enables the firm to manage – time, project costs, and have sustainable margins on the projects.

Effective Research and Development (R&D)

– Medical Data Vision has innovation driven culture where significant part of the revenues are spent on the research and development activities. This has resulted in – Medical Data Vision staying ahead in the Biotechnology & Drugs industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.

Learning organization

- Medical Data Vision is a learning organization. It has inculcated three key characters of learning organization in its processes and operations – exploration, creativity, and expansiveness. The work place at Medical Data Vision is open place that encourages instructiveness, ideation, open minded discussions, and creativity. Employees and leaders at Medical Data Vision emphasize – knowledge, initiative, and innovation.

Cross disciplinary teams

– Horizontal connected teams at the Medical Data Vision are driving operational speed, building greater agility, and keeping the organization nimble to compete with new competitors. It helps are organization to ideate new ideas, and execute them swiftly in the marketplace.

Organizational Resilience of Medical Data Vision

– The covid-19 pandemic has put organizational resilience at the centre of everthing Medical Data Vision does. Organizational resilience comprises - Financial Resilience, Operational Resilience, Technological Resilience, Organizational Resilience, Business Model Resilience, and Reputation Resilience.

Ability to lead change in Biotechnology & Drugs

– Medical Data Vision is one of the leading players in the Biotechnology & Drugs industry in Japan. Over the years it has not only transformed the business landscape in the Biotechnology & Drugs industry in Japan but also across the existing markets. The ability to lead change has enabled Medical Data Vision in – penetrating new markets, reaching out to new customers, and providing different value propositions to different customers in the international markets.

---

---

Weaknesses of Medical Data Vision | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The weaknesses of Medical Data Vision are -

Aligning sales with marketing

– From the outside it seems that Medical Data Vision needs to have more collaboration between its sales team and marketing team. Sales professionals in the Biotechnology & Drugs industry have deep experience in developing customer relationships. Marketing department at Medical Data Vision can leverage the sales team experience to cultivate customer relationships as Medical Data Vision is planning to shift buying processes online.

High bargaining power of channel partners in Biotechnology & Drugs industry

– because of the regulatory requirements in Japan, Medical Data Vision is facing high bargaining power of the channel partners. So far it has not able to streamline the operations to reduce the bargaining power of the value chain partners in the Biotechnology & Drugs industry.

Slow to strategic competitive environment developments

– As Medical Data Vision is one of the leading players in the Biotechnology & Drugs industry, it takes time to assess the upcoming competitions. This has led to missing out on atleast 2-3 big opportunities in the Biotechnology & Drugs industry in last five years.

Products dominated business model

– Even though Medical Data Vision has some of the most successful models in the Biotechnology & Drugs industry, this business model has made each new product launch extremely critical for continuous financial growth of the organization. Medical Data Vision should strive to include more intangible value offerings along with its core products and services.

Interest costs

– Compare to the competition, Medical Data Vision has borrowed money from the capital market at higher rates. It needs to restructure the interest payment and costs so that it can compete better and improve profitability.

Slow to harness new channels of communication

– Even though competitors are using new communication channels such as Instagram, Tiktok, and Snap, Medical Data Vision is slow explore the new channels of communication. These new channels of communication can help Medical Data Vision to provide better information regarding Biotechnology & Drugs products and services. It can also build an online community to further reach out to potential customers.

High dependence on Medical Data Vision ‘s star products

– The top 2 products and services of Medical Data Vision still accounts for major business revenue. This dependence on star products in Biotechnology & Drugs industry has resulted into insufficient focus on developing new products, even though Medical Data Vision has relatively successful track record of launching new products.

Compensation and incentives

– The revenue per employee of Medical Data Vision is just above the Biotechnology & Drugs industry average. It needs to redesign the compensation structure and incentives to increase the revenue per employees. Some of the steps that it can take are – hiring more specialists on project basis, etc.

Workers concerns about automation

– As automation is fast increasing in the Biotechnology & Drugs industry, Medical Data Vision needs to come up with a strategy to reduce the workers concern regarding automation. Without a clear strategy, it could lead to disruption and uncertainty within the organization.

High dependence on existing supply chain

– The disruption in the global supply chains because of the Covid-19 pandemic and blockage of the Suez Canal illustrated the fragile nature of Medical Data Vision supply chain. Even after few cautionary changes, Medical Data Vision is still heavily dependent upon the existing supply chain. The existing supply chain though brings in cost efficiencies but it has left Medical Data Vision vulnerable to further global disruptions in South East Asia.

Slow decision making process

– As mentioned earlier in the report, Medical Data Vision has a very deliberative decision making approach. This approach has resulted in prudent decisions, but it has also resulted in missing opportunities in the Biotechnology & Drugs industry over the last five years. Medical Data Vision even though has strong showing on digital transformation primary two stages, it has struggled to capitalize the power of digital transformation in marketing efforts and new venture efforts.

---

Medical Data Vision Opportunities | External Strategic Factors
What are Opportunities in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The opportunities of Medical Data Vision are -

Finding new ways to collaborate

– Covid-19 has not only transformed business models of companies in Biotechnology & Drugs industry, but it has also influenced the consumer preferences. Medical Data Vision can tie-up with other value chain partners to explore new opportunities regarding meeting customer demands and building a rewarding and engaging relationship.

Remote work and new talent hiring opportunities

– The widespread usage of remote working technologies during Covid-19 has opened opportunities for Medical Data Vision to expand its talent hiring zone. According to McKinsey Global Institute, 20% of the high end workforce in fields such as finance, information technology, can continously work from remote local post Covid-19. This presents a really great opportunity for Medical Data Vision to hire the very best people irrespective of their geographical location.

Increase in government spending

– As the United States and other governments are increasing social spending and infrastructure spending to build economies post Covid-19, Medical Data Vision can use these opportunities to build new business models that can help the communities that Medical Data Vision operates in. Secondly it can use opportunities from government spending in Biotechnology & Drugs sector.

Reforming the budgeting process

- By establishing new metrics that will be used to evaluate both existing and potential projects Medical Data Vision can not only reduce the costs of the project but also help it in integrating the projects with other processes within the organization.

Developing new processes and practices

– Medical Data Vision can develop new processes and procedures in Biotechnology & Drugs industry using technology such as automation using artificial intelligence, real time transportation and products tracking, 3D modeling for concept development and new products pilot testing etc.

Learning at scale

– Online learning technologies has now opened space for Medical Data Vision to conduct training and development for its employees across the world. This will result in not only reducing the cost of training but also help employees in different part of the world to integrate with the headquarter work culture, ethos, and standards.

Using analytics as competitive advantage

– Medical Data Vision has spent a significant amount of money and effort to integrate analytics and machine learning into its operations in Biotechnology & Drugs sector. This continuous investment in analytics has enabled Medical Data Vision to build a competitive advantage using analytics. The analytics driven competitive advantage can help Medical Data Vision to build faster Go To Market strategies, better consumer insights, developing relevant product features, and building a highly efficient supply chain.

Buying journey improvements

– Medical Data Vision can improve the customer journey of consumers in the Biotechnology & Drugs industry by using analytics and artificial intelligence. It can provide automated chats to help consumers solve their own problems, provide online suggestions to get maximum out of the products and services, and help consumers to build a community where they can interact with each other to develop new features and uses.

Identify volunteer opportunities

– Covid-19 has impacted working population in two ways – it has led to people soul searching about their professional choices, resulting in mass resignation. Secondly it has encouraged people to do things that they are passionate about. This has opened opportunities for businesses to build volunteer oriented socially driven projects. Medical Data Vision can explore opportunities that can attract volunteers and are consistent with its mission and vision.

Reconfiguring business model

– The expansion of digital payment system, the bringing down of international transactions costs using Bitcoin and other blockchain based currencies, etc can help Medical Data Vision to reconfigure its entire business model. For example it can used blockchain based technologies to reduce piracy of its products in the big markets such as China. Secondly it can use the popularity of e-commerce in various developing markets to build a Direct to Customer business model rather than the current Channel Heavy distribution network.

Harnessing reconfiguration of the global supply chains

– As the trade war between US and China heats up in the coming years, Medical Data Vision can build a diversified supply chain model across various countries in - South East Asia, India, and other parts of the world. This reconfiguration of global supply chain can help Medical Data Vision to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.

Building a culture of innovation

– managers at Medical Data Vision can make experimentation a productive activity and build a culture of innovation using approaches such as – mining transaction data, A/B testing of websites and selling platforms, engaging potential customers over various needs, and building on small ideas in the Biotechnology & Drugs industry.

Manufacturing automation

– Medical Data Vision can use the latest technology developments to improve its manufacturing and designing process in Biotechnology & Drugs sector. It can use CAD and 3D printing to build a quick prototype and pilot testing products. It can leverage automation using machine learning and artificial intelligence to do faster production at lowers costs, and it can leverage the growth in satellite and tracking technologies to improve inventory management, transportation, and shipping.

---

Threats Medical Data Vision External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The threats of Medical Data Vision are -

Backlash against dominant players

– US Congress and other legislative arms of the government are getting tough on big business especially technology companies. The digital arm of Medical Data Vision business can come under increasing regulations regarding data privacy, data security, etc.

Increasing wage structure of Medical Data Vision

– Post Covid-19 there is a sharp increase in the wages especially in the jobs that require interaction with people. The increasing wages can put downward pressure on the margins of Medical Data Vision.

Consumer confidence and its impact on Medical Data Vision demand

– There is a high probability of declining consumer confidence, given – high inflammation rate, rise of gig economy, lower job stability, increasing cost of living, higher interest rates, and aging demography. All the factors contribute to people saving higher rate of their income, resulting in lower consumer demand in Biotechnology & Drugs industry and other sectors.

Increasing international competition and downward pressure on margins

– Apart from technology driven competitive advantage dilution, Medical Data Vision can face downward pressure on margins from increasing competition from international players. The international players have stable revenue in their home market and can use those resources to penetrate Medical Data Vision prominent markets.

Learning curve for new practices

– As the technology based on artificial intelligence and machine learning platform is getting complex, Medical Data Vision may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Biotechnology & Drugs sector.

High dependence on third party suppliers

– Medical Data Vision high dependence on third party suppliers can disrupt its processes and delivery mechanism. For example -the current troubles of car makers because of chip shortage is because the chip companies started producing chips for electronic companies rather than car manufacturers.

Technology disruption because of hacks, piracy etc

– The colonial pipeline illustrated, how vulnerable modern organization are to international hackers, miscreants, and disruptors. The cyber security interruption, data leaks, etc can seriously jeopardize the future growth of the organization.

Barriers of entry lowering

– As technology is more democratized, the barriers to entry to Biotechnology & Drugs industry are lowering. It can presents Medical Data Vision with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the Biotechnology & Drugs sector.

Instability in the European markets

– European Union markets are facing three big challenges post Covid – expanded balance sheets, Brexit related business disruption, and aggressive Russia looking to distract the existing security mechanism. Medical Data Vision will face different problems in different parts of Europe. For example it will face inflationary pressures in UK, France, and Germany, balance sheet expansion and demand challenges in Southern European countries, and geopolitical instability in the Eastern Europe.

Regulatory challenges

– Medical Data Vision needs to prepare for regulatory challenges as consumer protection groups and other pressure groups are vigorously advocating for more regulations on big business - to reduce inequality, to create a level playing field, to product data privacy and consumer privacy, to reduce the influence of big money on democratic institutions, etc. This can lead to significant changes in the Biotechnology & Drugs industry regulations.

Capital market disruption

– During the Covid-19, Dow Jones has touched record high. The valuations of a number of companies are way beyond their existing business model potential. This can lead to capital market correction which can put a number of suppliers, collaborators, value chain partners in great financial difficulty. It will directly impact the business of Medical Data Vision.

Technology acceleration in Forth Industrial Revolution

– Medical Data Vision has witnessed rapid integration of technology during Covid-19 in the Biotechnology & Drugs industry. As one of the leading players in the industry, Medical Data Vision needs to keep up with the evolution of technology in the Biotechnology & Drugs sector. According to Mckinsey study top managers believe that the adoption of technology in operations, communications is 20-25 times faster than what they planned in the beginning of 2019.

Stagnating economy with rate increase

– Medical Data Vision can face lack of demand in the market place because of Fed actions to reduce inflation. This can lead to sluggish growth in the economy, lower demands, lower investments, higher borrowing costs, and consolidation in the Biotechnology & Drugs industry.

---

Weighted SWOT Analysis of Medical Data Vision Template, Example

Not all factors mentioned under the Strengths, Weakness, Opportunities, and Threats quadrants in the SWOT Analysis are equal. Managers at Medical Data Vision needs to zero down on the relative importance of each factor mentioned in the Strengths, Weakness, Opportunities, and Threats quadrants. We can provide the relative importance to each factor by assigning relative weights. Weighted SWOT analysis process is a three stage process –

First stage for doing weighted SWOT analysis of Medical Data Vision is to rank the strengths and weaknesses of the organization. This will help you to assess the most important strengths and weaknesses of the firm and which one of the strengths and weaknesses mentioned in the initial lists are marginal and can be left out.

Second stage for conducting weighted SWOT analysis of Medical Data Vision is to give probabilities to the external strategic factors thus better understanding the opportunities and threats arising out of macro environment changes and developments.

Third stage of constructing weighted SWOT analysis of Medical Data Vision to provide strategic recommendations includes – joining likelihood of external strategic factors such as opportunities and threats to the internal strategic factors – strengths and weaknesses. You should start with external factors as they will provide the direction of the overall industry. Secondly by joining probabilities with internal strategic factors can help the company not only strategic fit but also the most probably strategic trade-off that Medical Data Vision needs to make to build a sustainable competitive advantage.

--- ---