Case Study Description of Global Warming Revisited (B)
Is there statistical evidence of global warming? The B case presents the results of three different analyses that are representative of MBA students' work. The case series is effective in discussing the analysis of time-series data in the context of business analytics, predictive analytics, big data, or other similar courses. Given that the case is based on global warming-a phenomenon all students are undoubtedly aware of-it is eye-opening with respect to how incorrect data analysis can indeed "support" different points of view.
Swot Analysis of "Global Warming Revisited (B)" written by Anton Ovchinnikov includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Warming Analytics facing as an external strategic factors. Some of the topics covered in Global Warming Revisited (B) case study are - Strategic Management Strategies, Financial analysis, Sustainability and Leadership & Managing People.
Some of the macro environment factors that can be used to understand the Global Warming Revisited (B) casestudy better are - – increasing commodity prices, central banks are concerned over increasing inflation, increasing energy prices, increasing household debt because of falling income levels, banking and financial system is disrupted by Bitcoin and other crypto currencies, increasing transportation and logistics costs, there is increasing trade war between United States & China,
there is backlash against globalization, geopolitical disruptions, etc
Introduction to SWOT Analysis of Global Warming Revisited (B)
SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in Global Warming Revisited (B) case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Warming Analytics, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Warming Analytics 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 Global Warming Revisited (B) can be done for the following purposes –
1. Strategic planning using facts provided in Global Warming Revisited (B) case study
2. Improving business portfolio management of Warming Analytics
3. Assessing feasibility of the new initiative in Leadership & Managing People field.
4. Making a Leadership & Managing People topic specific business decision
5. Set goals for the organization
6. Organizational restructuring of Warming Analytics
Strengths Global Warming Revisited (B) | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The strengths of Warming Analytics in Global Warming Revisited (B) Harvard Business Review case study are -
Successful track record of launching new products
– Warming Analytics has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Warming Analytics 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.
Highly skilled collaborators
– Warming Analytics has highly efficient outsourcing and offshoring strategy. It has resulted in greater operational flexibility and bringing down the costs in highly price sensitive segment. Secondly the value chain collaborators of the firm in Global Warming Revisited (B) HBR case study have helped the firm to develop new products and bring them quickly to the marketplace.
Innovation driven organization
– Warming Analytics is one of the most innovative firm in sector. Manager in Global Warming Revisited (B) Harvard Business Review case study can use Clayton Christensen Disruptive Innovation strategies to further increase the scale of innovtions in the organization.
Ability to recruit top talent
– Warming Analytics is one of the leading recruiters in the industry. Managers in the Global Warming Revisited (B) are in a position to attract the best talent available. The firm has a robust talent identification program that helps in identifying the brightest.
Ability to lead change in Leadership & Managing People field
– Warming Analytics is one of the leading players in its industry. Over the years it has not only transformed the business landscape in its segment but also across the whole industry. The ability to lead change has enabled Warming Analytics in – penetrating new markets, reaching out to new customers, and providing different value propositions to different customers in the international markets.
Analytics focus
– Warming Analytics 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 industry. The technology infrastructure suggested by Anton Ovchinnikov can also help it to harness the power of analytics for – marketing optimization, demand forecasting, customer relationship management, inventory management, information sharing across the value chain etc.
Operational resilience
– The operational resilience strategy in the Global Warming Revisited (B) 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.
Diverse revenue streams
– Warming Analytics is present in almost all the verticals within the industry. This has provided firm in Global Warming Revisited (B) 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 Warming Analytics in the sector have low bargaining power. Global Warming Revisited (B) has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Warming Analytics to manage not only supply disruptions but also source products at highly competitive prices.
Organizational Resilience of Warming Analytics
– The covid-19 pandemic has put organizational resilience at the centre of everthing that Warming Analytics does. Organizational resilience comprises - Financial Resilience, Operational Resilience, Technological Resilience, Organizational Resilience, Business Model Resilience, and Reputation Resilience.
Digital Transformation in Leadership & Managing People segment
- digital transformation varies from industry to industry. For Warming Analytics digital transformation journey comprises differing goals based on market maturity, customer technology acceptance, and organizational culture. Warming Analytics 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.
Learning organization
- Warming Analytics 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 Warming Analytics is open place that encourages instructiveness, ideation, open minded discussions, and creativity. Employees and leaders in Global Warming Revisited (B) Harvard Business Review case study emphasize – knowledge, initiative, and innovation.
Weaknesses Global Warming Revisited (B) | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The weaknesses of Global Warming Revisited (B) are -
Aligning sales with marketing
– It come across in the case study Global Warming Revisited (B) that the firm needs to have more collaboration between its sales team and marketing team. Sales professionals in the industry have deep experience in developing customer relationships. Marketing department in the case Global Warming Revisited (B) can leverage the sales team experience to cultivate customer relationships as Warming Analytics is planning to shift buying processes online.
Slow decision making process
– As mentioned earlier in the report, Warming Analytics 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. Warming Analytics 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.
Low market penetration in new markets
– Outside its home market of Warming Analytics, firm in the HBR case study Global Warming Revisited (B) needs to spend more promotional, marketing, and advertising efforts to penetrate international markets.
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 Warming Analytics supply chain. Even after few cautionary changes mentioned in the HBR case study - Global Warming Revisited (B), it is still heavily dependent upon the existing supply chain. The existing supply chain though brings in cost efficiencies but it has left Warming Analytics vulnerable to further global disruptions in South East Asia.
Interest costs
– Compare to the competition, Warming Analytics 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.
Ability to respond to the competition
– As the decision making is very deliberative, highlighted in the case study Global Warming Revisited (B), in the dynamic environment Warming Analytics has struggled to respond to the nimble upstart competition. Warming Analytics has reasonably good record with similar level competitors but it has struggled with new entrants taking away niches of its business.
Employees’ incomplete understanding of strategy
– From the instances in the HBR case study Global Warming Revisited (B), it seems that the employees of Warming Analytics 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.
Workers concerns about automation
– As automation is fast increasing in the segment, Warming Analytics 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 Global Warming Revisited (B) 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 Warming Analytics 's lucrative customers.
Slow to strategic competitive environment developments
– As Global Warming Revisited (B) HBR case study mentions - Warming Analytics takes time to assess the upcoming competitions. This has led to missing out on atleast 2-3 big opportunities in the industry in last five years.
Compensation and incentives
– The revenue per employee as mentioned in the HBR case study Global Warming Revisited (B), is just above the industry average. Warming Analytics 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.
Opportunities Global Warming Revisited (B) | 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 Global Warming Revisited (B) are -
Developing new processes and practices
– Warming Analytics can develop new processes and procedures in Leadership & Managing People 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.
Loyalty marketing
– Warming Analytics 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.
Creating value in data economy
– The success of analytics program of Warming Analytics has opened avenues for new revenue streams for the organization in the industry. This can help Warming Analytics to build a more holistic ecosystem as suggested in the Global Warming Revisited (B) case study. Warming Analytics can build new products and services such as - data insight services, data privacy related products, data based consulting services, etc.
Learning at scale
– Online learning technologies has now opened space for Warming Analytics 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, Warming Analytics can use these opportunities to build new business models that can help the communities that Warming Analytics operates in. Secondly it can use opportunities from government spending in Leadership & Managing People sector.
Using analytics as competitive advantage
– Warming Analytics has spent a significant amount of money and effort to integrate analytics and machine learning into its operations in the sector. This continuous investment in analytics has enabled, as illustrated in the Harvard case study Global Warming Revisited (B) - to build a competitive advantage using analytics. The analytics driven competitive advantage can help Warming Analytics to build faster Go To Market strategies, better consumer insights, developing relevant product features, and building a highly efficient supply chain.
Building a culture of innovation
– managers at Warming Analytics 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 Leadership & Managing People segment.
Harnessing reconfiguration of the global supply chains
– As the trade war between US and China heats up in the coming years, Warming Analytics 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, as suggested in case study, Global Warming Revisited (B), to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.
Reforming the budgeting process
- By establishing new metrics that will be used to evaluate both existing and potential projects Warming Analytics can not only reduce the costs of the project but also help it in integrating the projects with other processes within the organization.
Remote work and new talent hiring opportunities
– The widespread usage of remote working technologies during Covid-19 has opened opportunities for Warming Analytics 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 Warming Analytics to hire the very best people irrespective of their geographical location.
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. Warming Analytics can explore opportunities that can attract volunteers and are consistent with its mission and vision.
Better consumer reach
– The expansion of the 5G network will help Warming Analytics to increase its market reach. Warming Analytics 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.
Redefining models of collaboration and team work
– As explained in the weaknesses section, Warming Analytics is facing challenges because of the dominance of functional experts in the organization. Global Warming Revisited (B) 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.
Threats Global Warming Revisited (B) External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The threats mentioned in the HBR case study Global Warming Revisited (B) are -
Shortening product life cycle
– it is one of the major threat that Warming Analytics is facing in Leadership & Managing People sector. It can lead to higher research and development costs, higher marketing expenses, lower customer loyalty, etc.
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. Warming Analytics needs to understand the core reasons impacting the Leadership & Managing People industry. This will help it in building a better workplace.
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 Warming Analytics business can come under increasing regulations regarding data privacy, data security, etc.
Increasing wage structure of Warming Analytics
– 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 Warming Analytics.
Environmental challenges
– Warming Analytics 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. Warming Analytics can take advantage of this fund but it will also bring new competitors in the Leadership & Managing People 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.
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 Warming Analytics.
Consumer confidence and its impact on Warming Analytics 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.
Technology acceleration in Forth Industrial Revolution
– Warming Analytics has witnessed rapid integration of technology during Covid-19 in the Leadership & Managing People industry. As one of the leading players in the industry, Warming Analytics needs to keep up with the evolution of technology in the Leadership & Managing People 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, Warming Analytics 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 prominent markets illustrated in HBR case study Global Warming Revisited (B) .
Easy access to finance
– Easy access to finance in Leadership & Managing People field will also reduce the barriers to entry in the industry, thus putting downward pressure on the prices because of increasing competition. Warming Analytics can utilize it by borrowing at lower rates and invest it into research and development, capital expenditure to fortify its core competitive advantage.
Barriers of entry lowering
– As technology is more democratized, the barriers to entry in the industry are lowering. It can presents Warming Analytics with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the sector.
Weighted SWOT Analysis of Global Warming Revisited (B) 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 Global Warming Revisited (B) 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 Global Warming Revisited (B) 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 Global Warming Revisited (B) 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 Global Warming Revisited (B) 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 Warming Analytics needs to make to build a sustainable competitive advantage.
