Property Data Bank (4389) SWOT Analysis / TOWS Matrix / MBA Resources
Software & Programming
Strategy / MBA Resources
Introduction to SWOT Analysis
SWOT Analysis / TOWS Matrix for Property Data Bank (Japan)
Based on various researches at Oak Spring University , Property Data Bank is operating in a macro-environment that has been destablized by – increasing household debt because of falling income levels, technology disruption, customer relationship management is fast transforming because of increasing concerns over data privacy, banking and financial system is disrupted by Bitcoin and other crypto currencies, geopolitical disruptions, increasing inequality as vast percentage of new income is going to the top 1%, central banks are concerned over increasing inflation,
there is increasing trade war between United States & China, increasing transportation and logistics costs, etc
Introduction to SWOT Analysis of Property Data Bank
SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University, we believe that Property Data Bank can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Property Data Bank, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Property Data Bank 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 Property Data Bank can be done for the following purposes –
1. Strategic planning of Property Data Bank
2. Improving business portfolio management of Property Data Bank
3. Assessing feasibility of the new initiative in Japan
4. Making a Software & Programming sector specific business decision
5. Set goals for the organization
6. Organizational restructuring of Property Data Bank
Strengths of Property Data Bank | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The strengths of Property Data Bank are -
Training and development
– Property Data Bank has one of the best training and development program in Technology 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.
Ability to lead change in Software & Programming
– Property Data Bank is one of the leading players in the Software & Programming industry in Japan. Over the years it has not only transformed the business landscape in the Software & Programming industry in Japan but also across the existing markets. The ability to lead change has enabled Property Data Bank in – penetrating new markets, reaching out to new customers, and providing different value propositions to different customers in the international markets.
Cross disciplinary teams
– Horizontal connected teams at the Property Data Bank 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.
Diverse revenue streams
– Property Data Bank is present in almost all the verticals within the Software & Programming industry. This has provided Property Data Bank 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.
Highly skilled collaborators
– Property Data Bank has highly efficient outsourcing and offshoring strategy. It has resulted in greater operational flexibility and bringing down the costs in highly price sensitive Software & Programming industry. Secondly the value chain collaborators of Property Data Bank have helped the firm to develop new products and bring them quickly to the marketplace.
Digital Transformation in Software & Programming industry
- digital transformation varies from industry to industry. For Property Data Bank digital transformation journey comprises differing goals based on market maturity, customer technology acceptance, and organizational culture. Property Data Bank 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.
Low bargaining power of suppliers
– Suppliers of Property Data Bank in the Technology sector have low bargaining power. Property Data Bank has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Property Data Bank to manage not only supply disruptions but also source products at highly competitive prices.
Analytics focus
– Property Data Bank is putting a lot of focus on utilizing the power of analytics in business decision making. This has put it among the leading players in the Software & Programming industry. The technology infrastructure of Japan is also helping it to harness the power of analytics for – marketing optimization, demand forecasting, customer relationship management, inventory management, information sharing across the value chain etc.
Innovation driven organization
– Property Data Bank is one of the most innovative firm in Software & Programming sector.
High brand equity
– Property Data Bank has strong brand awareness and brand recognition among both - the exiting customers and potential new customers. Strong brand equity has enabled Property Data Bank to keep acquiring new customers and building profitable relationship with both the new and loyal customers.
Operational resilience
– The operational resilience strategy of Property Data Bank comprises – understanding the underlying the factors in the Software & Programming industry, building diversified operations across different geographies so that disruption in one part of the world doesn’t impact the overall performance of the firm, and integrating the various business operations and processes through its digital transformation drive.
Successful track record of launching new products
– Property Data Bank has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Property Data Bank has effective processes in place that helps in exploring new product needs, doing quick pilot testing, and then launching the products quickly using its extensive distribution network.
Weaknesses of Property Data Bank | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The weaknesses of Property Data Bank are -
Skills based hiring in Software & Programming industry
– The stress on hiring functional specialists at Property Data Bank has created an environment where the organization is dominated by functional specialists rather than management generalist. This has resulted into product oriented approach rather than marketing oriented approach or consumers oriented approach.
High bargaining power of channel partners in Software & Programming industry
– because of the regulatory requirements in Japan, Property Data Bank 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 Software & Programming industry.
Employees’ less understanding of Property Data Bank strategy
– From the outside it seems that the employees of Property Data Bank don’t have comprehensive understanding of the firm’s strategy. This is reflected in number of promotional campaigns over the last few years that had mixed messaging and competing priorities. Some of the strategic activities and services promoted in the promotional campaigns were not consistent with the organization’s strategy.
High operating costs
– Compare to the competitors, Property Data Bank has high operating costs in the Software & Programming industry. This can be harder to sustain given the new emerging competition from nimble players who are using technology to attract Property Data Bank lucrative customers.
Slow to harness new channels of communication
– Even though competitors are using new communication channels such as Instagram, Tiktok, and Snap, Property Data Bank is slow explore the new channels of communication. These new channels of communication can help Property Data Bank to provide better information regarding Software & Programming products and services. It can also build an online community to further reach out to potential customers.
No frontier risks strategy
– From the 10K / annual statement of Property Data Bank, it seems that company is thinking out the frontier risks that can impact Software & Programming industry. But it has very little resources allocation to manage the risks emerging from events such as natural disasters, climate change, melting of permafrost, tacking the rise of artificial intelligence, opportunities and threats emerging from commercialization of space etc.
Low market penetration in new markets
– Outside its home market of Japan, Property Data Bank needs to spend more promotional, marketing, and advertising efforts to penetrate international markets.
Capital Spending Reduction
– Even during the low interest decade, Property Data Bank has not been able to do capital spending to the tune of the competition. This has resulted into fewer innovations and company facing stiff competition from both existing competitors and new entrants who are disrupting the Software & Programming industry using digital technology.
Increasing silos among functional specialists
– The organizational structure of Property Data Bank is dominated by functional specialists. It is not different from other players in the Software & Programming industry, but Property Data Bank needs to de-silo the office environment to harness the true potential of its workforce. Secondly the de-silo will also help Property Data Bank to focus more on services in the Software & Programming industry rather than just following the product oriented approach.
Lack of clear differentiation of Property Data Bank products
– To increase the profitability and margins on the products, Property Data Bank needs to provide more differentiated products than what it is currently offering in the marketplace.
Need for greater diversity
– Property Data Bank has taken concrete steps on diversity, equity, and inclusion. But the efforts so far has resulted in limited success. It needs to expand the recruitment and selection process to hire more people from the minorities and underprivileged background.
Property Data Bank Opportunities | External Strategic Factors
What are Opportunities in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The opportunities of Property Data Bank are -
Using analytics as competitive advantage
– Property Data Bank has spent a significant amount of money and effort to integrate analytics and machine learning into its operations in Software & Programming sector. This continuous investment in analytics has enabled Property Data Bank to build a competitive advantage using analytics. The analytics driven competitive advantage can help Property Data Bank to build faster Go To Market strategies, better consumer insights, developing relevant product features, and building a highly efficient supply chain.
Use of Bitcoin and other crypto currencies for transactions in Software & Programming industry
– The popularity of Bitcoin and other crypto currencies as asset class and medium of transaction has opened new opportunities for Property Data Bank in the Software & Programming industry. Now Property Data Bank can target international markets with far fewer capital restrictions requirements than the existing system.
Better consumer reach
– The expansion of the 5G network will help Property Data Bank to increase its market reach. Property Data Bank will be able to reach out to new customers. Secondly 5G will also provide technology framework to build new tools and products that can help more immersive consumer experience and faster consumer journey.
Building a culture of innovation
– managers at Property Data Bank 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 Software & Programming industry.
Developing new processes and practices
– Property Data Bank can develop new processes and procedures in Software & Programming 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.
Changes in consumer behavior post Covid-19
– consumer behavior has changed in the Software & Programming industry because of Covid-19 restrictions. Some of this behavior will stay once things get back to normal. Property Data Bank can take advantage of these changes in consumer behavior to build a far more efficient business model. For example consumer regular ordering of products can reduce both last mile delivery costs and market penetration costs. Property Data Bank can further use this consumer data to build better customer loyalty, provide better products and service collection, and improve the value proposition in inflationary times.
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. Property Data Bank can explore opportunities that can attract volunteers and are consistent with its mission and vision.
Lowering marketing communication costs
– 5G expansion will open new opportunities for Property Data Bank in the field of marketing communication. It will bring down the cost of doing business, provide technology platform to build new products in the Software & Programming industry, and it will provide faster access to the consumers.
Learning at scale
– Online learning technologies has now opened space for Property Data Bank 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.
Buying journey improvements
– Property Data Bank can improve the customer journey of consumers in the Software & Programming 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.
Increase in government spending
– As the United States and other governments are increasing social spending and infrastructure spending to build economies post Covid-19, Property Data Bank can use these opportunities to build new business models that can help the communities that Property Data Bank operates in. Secondly it can use opportunities from government spending in Software & Programming sector.
Redefining models of collaboration and team work
– As explained in the weaknesses section, Property Data Bank is facing challenges because of the dominance of functional experts in the organization. Property Data Bank can utilize new technology in the field of Software & Programming industry to build more coordinated teams and streamline operations and communications using tools such as CAD, Zoom, etc.
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 Property Data Bank 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.
Threats Property Data Bank External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The threats of Property Data Bank are -
Increasing wage structure of Property Data Bank
– 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 Property Data Bank.
Technology acceleration in Forth Industrial Revolution
– Property Data Bank has witnessed rapid integration of technology during Covid-19 in the Software & Programming industry. As one of the leading players in the industry, Property Data Bank needs to keep up with the evolution of technology in the Software & Programming 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.
Shortening product life cycle
– it is one of the major threat that Property Data Bank is facing in Software & Programming sector. It can lead to higher research and development costs, higher marketing expenses, lower customer loyalty, etc.
Regulatory challenges
– Property Data Bank 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 Software & Programming industry regulations.
Consumer confidence and its impact on Property Data Bank 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 Software & Programming industry and other sectors.
High dependence on third party suppliers
– Property Data Bank 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.
Environmental challenges
– Property Data Bank needs to have a robust strategy against the disruptions arising from climate change and energy requirements. EU has identified it as key priority area and spending 30% of its 880 billion Euros European post Covid-19 recovery funds on green technology. Property Data Bank can take advantage of this fund but it will also bring new competitors in the Software & Programming industry.
Learning curve for new practices
– As the technology based on artificial intelligence and machine learning platform is getting complex, Property Data Bank may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Software & Programming sector.
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 Property Data Bank.
Trade war between China and United States
– The trade war between two of the biggest economies can hugely impact the opportunities for Property Data Bank in Software & Programming industry. The Software & Programming industry is already at various protected from local competition in China, with the rise of trade war the protection levels may go up. This presents a clear threat of current business model in Chinese market.
Easy access to finance
– Easy access to finance in Software & Programming industry will also reduce the barriers to entry in the industry, thus putting downward pressure on the prices because of increasing competition. Property Data Bank can utilize it by borrowing at lower rates and invest it into research and development, capital expenditure to fortify its core competitive advantage.
High level of anxiety and lack of motivation
– the Great Resignation in United States is the sign of broader dissatisfaction among the workforce in United States. Property Data Bank needs to understand the core reasons impacting the Software & Programming industry. This will help it in building a better workplace.
New competition
– After the dotcom bust of 2001, financial crisis of 2008-09, the business formation in US economy had declined. But in 2020 alone, there are more than 1.5 million new business applications in United States. This can lead to greater competition for Property Data Bank in the Software & Programming sector and impact the bottomline of the organization.
Weighted SWOT Analysis of Property Data Bank Template, Example
Not all factors mentioned under the Strengths, Weakness, Opportunities, and Threats quadrants in the SWOT Analysis are equal. Managers at Property Data Bank 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 Property Data Bank 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 Property Data Bank 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 Property Data Bank 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 Property Data Bank needs to make to build a sustainable competitive advantage.