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Data Communications (DGPIF) SWOT Analysis / TOWS Matrix / MBA Resources

Introduction to SWOT Analysis

SWOT Analysis / TOWS Matrix for Data Communications (United States)


Based on various researches at Oak Spring University , Data Communications is operating in a macro-environment that has been destablized by – increasing inequality as vast percentage of new income is going to the top 1%, increasing transportation and logistics costs, geopolitical disruptions, increasing energy prices, challanges to central banks by blockchain based private currencies, digital marketing is dominated by two big players Facebook and Google, technology disruption, there is increasing trade war between United States & China, customer relationship management is fast transforming because of increasing concerns over data privacy, etc



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Introduction to SWOT Analysis of Data Communications


SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University, we believe that Data Communications can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Data Communications, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Data Communications 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 Data Communications can be done for the following purposes –
1. Strategic planning of Data Communications
2. Improving business portfolio management of Data Communications
3. Assessing feasibility of the new initiative in United States
4. Making a Business Services sector specific business decision
5. Set goals for the organization
6. Organizational restructuring of Data Communications




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

The strengths of Data Communications are -

Sustainable margins compare to other players in Business Services industry

– Data Communications has clearly differentiated products in the market place. This has enabled Data Communications to fetch slight price premium compare to the competitors in the Business Services industry. The sustainable margins have also helped Data Communications to invest into research and development (R&D) and innovation.

Diverse revenue streams

– Data Communications is present in almost all the verticals within the Business Services industry. This has provided Data Communications 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.

Analytics focus

– Data Communications 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 Business Services industry. The technology infrastructure of United States 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.

Successful track record of launching new products

– Data Communications has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Data Communications 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.

Strong track record of project management in the Business Services industry

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

Digital Transformation in Business Services industry

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

Organizational Resilience of Data Communications

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

Highly skilled collaborators

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

High switching costs

– The high switching costs that Data Communications has built up over years in its products and services combo offer has resulted in high retention of customers, lower marketing costs, and greater ability of the firm to focus on its customers.

High brand equity

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

Superior customer experience

– The customer experience strategy of Data Communications in Business Services industry is based on four key concepts – personalization, simplification of complex needs, prompt response, and continuous engagement.

Innovation driven organization

– Data Communications is one of the most innovative firm in Business Services sector.






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

The weaknesses of Data Communications are -

Compensation and incentives

– The revenue per employee of Data Communications is just above the Business Services 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.

High dependence on Data Communications ‘s star products

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

High cash cycle compare to competitors

Data Communications has a high cash cycle compare to other players in the Business Services industry. It needs to shorten the cash cycle by 12% to be more competitive in the marketplace, reduce inventory costs, and be more profitable.

Interest costs

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

Workers concerns about automation

– As automation is fast increasing in the Business Services industry, Data Communications 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.

Aligning sales with marketing

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

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 Data Communications supply chain. Even after few cautionary changes, Data Communications is still heavily dependent upon the existing supply chain. The existing supply chain though brings in cost efficiencies but it has left Data Communications vulnerable to further global disruptions in South East Asia.

High bargaining power of channel partners in Business Services industry

– because of the regulatory requirements in United States, Data Communications 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 Business Services industry.

Skills based hiring in Business Services industry

– The stress on hiring functional specialists at Data Communications 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.

Products dominated business model

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

Capital Spending Reduction

– Even during the low interest decade, Data Communications 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 Business Services industry using digital technology.




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


The opportunities of Data Communications are -

Finding new ways to collaborate

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

Lowering marketing communication costs

– 5G expansion will open new opportunities for Data Communications in the field of marketing communication. It will bring down the cost of doing business, provide technology platform to build new products in the Business Services industry, and it will provide faster access to the consumers.

Leveraging digital technologies

– Data Communications 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.

Developing new processes and practices

– Data Communications can develop new processes and procedures in Business Services 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.

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. Data Communications can explore opportunities that can attract volunteers and are consistent with its mission and vision.

Changes in consumer behavior post Covid-19

– consumer behavior has changed in the Business Services industry because of Covid-19 restrictions. Some of this behavior will stay once things get back to normal. Data Communications 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. Data Communications 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.

Creating value in data economy

– The success of analytics program of Data Communications has opened avenues for new revenue streams for the organization in Business Services industry. This can help Data Communications to build a more holistic ecosystem for Data Communications products in the Business Services industry by providing – data insight services, data privacy related products, data based consulting services, etc.

Remote work and new talent hiring opportunities

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

Learning at scale

– Online learning technologies has now opened space for Data Communications 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.

Building a culture of innovation

– managers at Data Communications 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 Business Services industry.

Manufacturing automation

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

Harnessing reconfiguration of the global supply chains

– As the trade war between US and China heats up in the coming years, Data Communications 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 Data Communications to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.

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


The threats of Data Communications are -

Stagnating economy with rate increase

– Data Communications 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 Business Services industry.

Environmental challenges

– Data Communications 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. Data Communications can take advantage of this fund but it will also bring new competitors in the Business Services 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. Data Communications 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 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. Data Communications needs to understand the core reasons impacting the Business Services industry. This will help it in building a better workplace.

Barriers of entry lowering

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

Regulatory challenges

– Data Communications 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 Business Services industry regulations.

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 Data Communications in the Business Services sector and impact the bottomline of the organization.

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.

Easy access to finance

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

Learning curve for new practices

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

Shortening product life cycle

– it is one of the major threat that Data Communications is facing in Business Services sector. It can lead to higher research and development costs, higher marketing expenses, lower customer loyalty, etc.

Trade war between China and United States

– The trade war between two of the biggest economies can hugely impact the opportunities for Data Communications in Business Services industry. The Business Services 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 Data Communications 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 Business Services industry and other sectors.




Weighted SWOT Analysis of Data Communications Template, Example


Not all factors mentioned under the Strengths, Weakness, Opportunities, and Threats quadrants in the SWOT Analysis are equal. Managers at Data Communications 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 Data Communications 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 Data Communications 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 Data Communications 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 Data Communications needs to make to build a sustainable competitive advantage.



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