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 – challanges to central banks by blockchain based private currencies, increasing household debt because of falling income levels, increasing energy prices, banking and financial system is disrupted by Bitcoin and other crypto currencies, increasing transportation and logistics costs, increasing government debt because of Covid-19 spendings, geopolitical disruptions,
increasing commodity prices, central banks are concerned over increasing inflation, 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.
Innovation driven organization
– Property Data Bank is one of the most innovative firm in Software & Programming sector.
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.
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.
Superior customer experience
– The customer experience strategy of Property Data Bank in Software & Programming industry is based on four key concepts – personalization, simplification of complex needs, prompt response, and continuous engagement.
Strong track record of project management in the Software & Programming industry
– Property Data Bank is known for sticking to its project targets. This enables the firm to manage – time, project costs, and have sustainable margins on the projects.
Ability to recruit top talent
– Property Data Bank is one of the leading players in the Software & Programming 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.
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.
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.
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.
Sustainable margins compare to other players in Software & Programming industry
– Property Data Bank has clearly differentiated products in the market place. This has enabled Property Data Bank to fetch slight price premium compare to the competitors in the Software & Programming industry. The sustainable margins have also helped Property Data Bank to invest into research and development (R&D) and innovation.
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 -
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.
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 Property Data Bank supply chain. Even after few cautionary changes, Property Data Bank is still heavily dependent upon the existing supply chain. The existing supply chain though brings in cost efficiencies but it has left Property Data Bank vulnerable to further global disruptions in South East Asia.
High dependence on Property Data Bank ‘s star products
– The top 2 products and services of Property Data Bank still accounts for major business revenue. This dependence on star products in Software & Programming industry has resulted into insufficient focus on developing new products, even though Property Data Bank has relatively successful track record of launching new products.
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 cash cycle compare to competitors
Property Data Bank has a high cash cycle compare to other players in the Software & Programming industry. It needs to shorten the cash cycle by 12% to be more competitive in the marketplace, reduce inventory costs, and be more profitable.
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.
Ability to respond to the competition
– As the decision making is very deliberative at Property Data Bank, in the dynamic environment of Software & Programming industry it has struggled to respond to the nimble upstart competition. Property Data Bank has reasonably good record with similar level competitors but it has struggled with new entrants taking away niches of its business.
Products dominated business model
– Even though Property Data Bank has some of the most successful models in the Software & Programming industry, this business model has made each new product launch extremely critical for continuous financial growth of the organization. Property Data Bank should strive to include more intangible value offerings along with its core products and services.
Workers concerns about automation
– As automation is fast increasing in the Software & Programming industry, Property Data Bank 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.
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.
Compensation and incentives
– The revenue per employee of Property Data Bank is just above the Software & Programming 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.
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 -
Low interest rates
– Even though inflation is raising its head in most developed economies, Property Data Bank can still utilize the low interest rates to borrow money for capital investment. Secondly it can also use the increase of government spending in infrastructure projects to get new business.
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.
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.
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.
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.
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.
Remote work and new talent hiring opportunities
– The widespread usage of remote working technologies during Covid-19 has opened opportunities for Property Data Bank 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 Property Data Bank to hire the very best people irrespective of their geographical location.
Finding new ways to collaborate
– Covid-19 has not only transformed business models of companies in Software & Programming industry, but it has also influenced the consumer preferences. Property Data Bank can tie-up with other value chain partners to explore new opportunities regarding meeting customer demands and building a rewarding and engaging relationship.
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.
Loyalty marketing
– Property Data Bank has focused on building a highly responsive customer relationship management platform. This platform is built on in-house data and driven by analytics and artificial intelligence. The customer analytics can help the organization to fine tune its loyalty marketing efforts, increase the wallet share of the organization, reduce wastage on mainstream advertising spending, build better pricing strategies using personalization, etc.
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.
Harnessing reconfiguration of the global supply chains
– As the trade war between US and China heats up in the coming years, Property Data Bank 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 Property Data Bank to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.
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 -
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.
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.
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.
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. Property Data Bank 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.
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.
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 Property Data Bank business can come under increasing regulations regarding data privacy, data security, etc.
Stagnating economy with rate increase
– Property Data Bank 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 Software & Programming industry.
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.
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.
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.
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.
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.
Increasing international competition and downward pressure on margins
– Apart from technology driven competitive advantage dilution, Property Data Bank 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 Property Data Bank prominent markets.
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.