Property Data Bank (4389) SWOT Analysis / TOWS Matrix / 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 transportation and logistics costs, challanges to central banks by blockchain based private currencies, digital marketing is dominated by two big players Facebook and Google, technology disruption, talent flight as more people leaving formal jobs, cloud computing is disrupting traditional business models, increasing government debt because of Covid-19 spendings, there is increasing trade war between United States & China, increasing energy prices, etc

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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.

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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

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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 -

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.

Effective Research and Development (R&D)

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

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.

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.

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.

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.

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.

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.

Learning organization

- Property Data Bank 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 Property Data Bank is open place that encourages instructiveness, ideation, open minded discussions, and creativity. Employees and leaders at Property Data Bank emphasize – knowledge, initiative, and innovation.

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.

Organizational Resilience of Property Data Bank

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

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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 -

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.

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.

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.

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.

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.

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.

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.

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.

Aligning sales with marketing

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

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.

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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 -

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.

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.

Reforming the budgeting process

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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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 -

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.

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.

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.

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.

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.

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 Software & Programming industry are lowering. It can presents Property Data Bank with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the Software & Programming sector.

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.

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.

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.

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.

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.

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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.

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