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Leitax (A) SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

Case Study SWOT Analysis Solution

Case Study Description of Leitax (A)


Leitax, a young digital camera manufacturer selling its cameras mainly through retailers, experienced poor matching of inventory availability with demand for new and existing products in 2002. Describes the implementation and details of a consensus forecasting approach, a crucial part of a demand and supply planning redesign that was introduced to address the problem. The forecasting approach is a cross-functional one involving the sales, operations, and finance functions. Describes the results of the introduction, including planning challenges the company continued to face.

Authors :: Noel Watson, Rogelio Oliva, Laura Winig

Topics :: Technology & Operations

Tags :: Economy, Forecasting, Manufacturing, Supply chain, SWOT Analysis, SWOT Matrix, TOWS, Weighted SWOT Analysis

Swot Analysis of "Leitax (A)" written by Noel Watson, Rogelio Oliva, Laura Winig includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Leitax Forecasting facing as an external strategic factors. Some of the topics covered in Leitax (A) case study are - Strategic Management Strategies, Economy, Forecasting, Manufacturing, Supply chain and Technology & Operations.


Some of the macro environment factors that can be used to understand the Leitax (A) casestudy better are - – there is increasing trade war between United States & China, digital marketing is dominated by two big players Facebook and Google, challanges to central banks by blockchain based private currencies, banking and financial system is disrupted by Bitcoin and other crypto currencies, wage bills are increasing, central banks are concerned over increasing inflation, supply chains are disrupted by pandemic , increasing household debt because of falling income levels, cloud computing is disrupting traditional business models, etc



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Introduction to SWOT Analysis of Leitax (A)


SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in Leitax (A) case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Leitax Forecasting, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Leitax Forecasting 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 Leitax (A) can be done for the following purposes –
1. Strategic planning using facts provided in Leitax (A) case study
2. Improving business portfolio management of Leitax Forecasting
3. Assessing feasibility of the new initiative in Technology & Operations field.
4. Making a Technology & Operations topic specific business decision
5. Set goals for the organization
6. Organizational restructuring of Leitax Forecasting




Strengths Leitax (A) | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The strengths of Leitax Forecasting in Leitax (A) Harvard Business Review case study are -

Effective Research and Development (R&D)

– Leitax Forecasting has innovation driven culture where significant part of the revenues are spent on the research and development activities. This has resulted in, as mentioned in case study Leitax (A) - staying ahead in the industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.

High brand equity

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

Superior customer experience

– The customer experience strategy of Leitax Forecasting in the segment is based on four key concepts – personalization, simplification of complex needs, prompt response, and continuous engagement.

Digital Transformation in Technology & Operations segment

- digital transformation varies from industry to industry. For Leitax Forecasting digital transformation journey comprises differing goals based on market maturity, customer technology acceptance, and organizational culture. Leitax Forecasting 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.

Innovation driven organization

– Leitax Forecasting is one of the most innovative firm in sector. Manager in Leitax (A) Harvard Business Review case study can use Clayton Christensen Disruptive Innovation strategies to further increase the scale of innovtions in the organization.

Training and development

– Leitax Forecasting has one of the best training and development program in the industry. The effectiveness of the training programs can be measured in Leitax (A) Harvard Business Review case study by analyzing – employees retention, in-house promotion, loyalty, new venture initiation, lack of conflict, and high level of both employees and customer engagement.

Ability to recruit top talent

– Leitax Forecasting is one of the leading recruiters in the industry. Managers in the Leitax (A) are in a position to attract the best talent available. The firm has a robust talent identification program that helps in identifying the brightest.

Diverse revenue streams

– Leitax Forecasting is present in almost all the verticals within the industry. This has provided firm in Leitax (A) case study 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.

Low bargaining power of suppliers

– Suppliers of Leitax Forecasting in the sector have low bargaining power. Leitax (A) has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Leitax Forecasting to manage not only supply disruptions but also source products at highly competitive prices.

Organizational Resilience of Leitax Forecasting

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

Operational resilience

– The operational resilience strategy in the Leitax (A) Harvard Business Review case study comprises – understanding the underlying the factors in the 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

– Leitax Forecasting has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Leitax Forecasting 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 Leitax (A) | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The weaknesses of Leitax (A) are -

Ability to respond to the competition

– As the decision making is very deliberative, highlighted in the case study Leitax (A), in the dynamic environment Leitax Forecasting has struggled to respond to the nimble upstart competition. Leitax Forecasting has reasonably good record with similar level competitors but it has struggled with new entrants taking away niches of its business.

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 Leitax Forecasting supply chain. Even after few cautionary changes mentioned in the HBR case study - Leitax (A), it is still heavily dependent upon the existing supply chain. The existing supply chain though brings in cost efficiencies but it has left Leitax Forecasting vulnerable to further global disruptions in South East Asia.

Products dominated business model

– Even though Leitax Forecasting has some of the most successful products in the industry, this business model has made each new product launch extremely critical for continuous financial growth of the organization. firm in the HBR case study - Leitax (A) should strive to include more intangible value offerings along with its core products and services.

Lack of clear differentiation of Leitax Forecasting products

– To increase the profitability and margins on the products, Leitax Forecasting needs to provide more differentiated products than what it is currently offering in the marketplace.

Capital Spending Reduction

– Even during the low interest decade, Leitax Forecasting 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 industry using digital technology.

Need for greater diversity

– Leitax Forecasting 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.

Slow decision making process

– As mentioned earlier in the report, Leitax Forecasting has a very deliberative decision making approach. This approach has resulted in prudent decisions, but it has also resulted in missing opportunities in the industry over the last five years. Leitax Forecasting 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.

Slow to harness new channels of communication

– Even though competitors are using new communication channels such as Instagram, Tiktok, and Snap, Leitax Forecasting is slow explore the new channels of communication. These new channels of communication mentioned in marketing section of case study Leitax (A) can help to provide better information regarding products and services. It can also build an online community to further reach out to potential customers.

Workers concerns about automation

– As automation is fast increasing in the segment, Leitax Forecasting 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 operating costs

– Compare to the competitors, firm in the HBR case study Leitax (A) has high operating costs in the. This can be harder to sustain given the new emerging competition from nimble players who are using technology to attract Leitax Forecasting 's lucrative customers.

High bargaining power of channel partners

– Because of the regulatory requirements, Noel Watson, Rogelio Oliva, Laura Winig suggests that, Leitax Forecasting 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 industry.




Opportunities Leitax (A) | External Strategic Factors
What are Opportunities in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis


The opportunities highlighted in the Harvard Business Review case study Leitax (A) are -

Manufacturing automation

– Leitax Forecasting can use the latest technology developments to improve its manufacturing and designing process in Technology & Operations segment. 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.

Building a culture of innovation

– managers at Leitax Forecasting 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 Technology & Operations segment.

Remote work and new talent hiring opportunities

– The widespread usage of remote working technologies during Covid-19 has opened opportunities for Leitax Forecasting 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 Leitax Forecasting to hire the very best people irrespective of their geographical location.

Use of Bitcoin and other crypto currencies for transactions

– The popularity of Bitcoin and other crypto currencies as asset class and medium of transaction has opened new opportunities for Leitax Forecasting in the consumer business. Now Leitax Forecasting can target international markets with far fewer capital restrictions requirements than the existing system.

Leveraging digital technologies

– Leitax Forecasting can leverage digital technologies such as artificial intelligence and machine learning to automate the production process, customer analytics to get better insights into consumer behavior, realtime digital dashboards to get better sales tracking, logistics and transportation, product tracking, etc.

Lowering marketing communication costs

– 5G expansion will open new opportunities for Leitax Forecasting in the field of marketing communication. It will bring down the cost of doing business, provide technology platform to build new products in the Technology & Operations segment, and it will provide faster access to the consumers.

Changes in consumer behavior post Covid-19

– Consumer behavior has changed in the Technology & Operations industry because of Covid-19 restrictions. Some of this behavior will stay once things get back to normal. Leitax Forecasting 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. Leitax Forecasting 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.

Low interest rates

– Even though inflation is raising its head in most developed economies, Leitax Forecasting 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.

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 Leitax Forecasting 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.

Redefining models of collaboration and team work

– As explained in the weaknesses section, Leitax Forecasting is facing challenges because of the dominance of functional experts in the organization. Leitax (A) case study suggests that firm can utilize new technology to build more coordinated teams and streamline operations and communications using tools such as CAD, Zoom, etc.

Learning at scale

– Online learning technologies has now opened space for Leitax Forecasting 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.

Increase in government spending

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

Reforming the budgeting process

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




Threats Leitax (A) External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis


The threats mentioned in the HBR case study Leitax (A) are -

Increasing wage structure of Leitax Forecasting

– 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 Leitax Forecasting.

Learning curve for new practices

– As the technology based on artificial intelligence and machine learning platform is getting complex, as highlighted in case study Leitax (A), Leitax Forecasting may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Technology & Operations .

Barriers of entry lowering

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

Trade war between China and United States

– The trade war between two of the biggest economies can hugely impact the opportunities for Leitax Forecasting in the Technology & Operations industry. The Technology & Operations 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.

Consumer confidence and its impact on Leitax Forecasting 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 the industry and other sectors.

Aging population

– As the populations of most advanced economies are aging, it will lead to high social security costs, higher savings among population, and lower demand for goods and services in the economy. The household savings in US, France, UK, Germany, and Japan are growing faster than predicted because of uncertainty caused by pandemic.

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 Leitax Forecasting.

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 Leitax Forecasting business can come under increasing regulations regarding data privacy, data security, etc.

Regulatory challenges

– Leitax Forecasting 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 Technology & Operations industry regulations.

Easy access to finance

– Easy access to finance in Technology & Operations field will also reduce the barriers to entry in the industry, thus putting downward pressure on the prices because of increasing competition. Leitax Forecasting can utilize it by borrowing at lower rates and invest it into research and development, capital expenditure to fortify its core competitive advantage.

Shortening product life cycle

– it is one of the major threat that Leitax Forecasting is facing in Technology & Operations sector. It can lead to higher research and development costs, higher marketing expenses, lower customer loyalty, etc.

Environmental challenges

– Leitax Forecasting 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. Leitax Forecasting can take advantage of this fund but it will also bring new competitors in the Technology & Operations 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.




Weighted SWOT Analysis of Leitax (A) Template, Example


Not all factors mentioned under the Strengths, Weakness, Opportunities, and Threats quadrants in the SWOT Analysis are equal. Managers in the HBR case study Leitax (A) 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 the case study Leitax (A) 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 the Harvard case study Leitax (A) 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 Leitax (A) is 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 Leitax Forecasting needs to make to build a sustainable competitive advantage.



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