First Look: The Second Annual New Intelligent Enterprise Survey SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
Organizational Development
Strategy / MBA Resources
Case Study SWOT Analysis Solution
Case Study Description of First Look: The Second Annual New Intelligent Enterprise Survey
How are companies using analytics in their decision making? To what extent are managers able to access the data they need? What are the key challenges, and how have the main business objectives changed? MIT Sloan Management Review and the IBM Institute for Business Value teamed up to ask business executives, managers and analysts to reflect on the role data plays within their organizations, and received more than 4,000 responses, representing every major industry and every region of the world. Complete results of the second annual survey are scheduled for publication in the fall 2011 issue, but this article provides some preliminary findings. A few early results stand out: Only about four in 10 respondents have access to the information they want; almost one-fifth say they have limited or no access to the data they need to be successful. The three biggest challenges people cite in using analytics are the difficulties of "integrating internal data across silos," the time and cost of performing analytics and the lack of skills to interpret and leverage the data. While the top three business objectives organizations cite for using analytics have not changed since last year's survey, their order of importance has changed: Last year, respondents said the most important objective was "innovating to achieve competitive differentiation;" this year, the No. 1 priority is "growing revenue," followed by "reducing costs and increasing efficiencies." Innovating to achieve competitive differentiation fell to No. 3. All told, the 2011 survey contained 27 questions. The charts in this preview article represent the answers to just eight of those, presented as simple raw data, clean and uncut. In the complete report, the new information will be combined and refined and, in many cases, compared to last year's data to give readers a snapshot of what's changed since our initial survey and the opportunity to benchmark their organizations in relation to their peers. This is an MIT Sloan Management Review article.
Swot Analysis of "First Look: The Second Annual New Intelligent Enterprise Survey" written by Nina Kruschwitz includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Survey Data facing as an external strategic factors. Some of the topics covered in First Look: The Second Annual New Intelligent Enterprise Survey case study are - Strategic Management Strategies, IT and Organizational Development.
Some of the macro environment factors that can be used to understand the First Look: The Second Annual New Intelligent Enterprise Survey casestudy better are - – increasing commodity prices, technology disruption, banking and financial system is disrupted by Bitcoin and other crypto currencies, increasing household debt because of falling income levels, increasing energy prices, there is increasing trade war between United States & China, cloud computing is disrupting traditional business models,
increasing inequality as vast percentage of new income is going to the top 1%, there is backlash against globalization, etc
Introduction to SWOT Analysis of First Look: The Second Annual New Intelligent Enterprise Survey
SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in First Look: The Second Annual New Intelligent Enterprise Survey case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Survey Data, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Survey Data 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 First Look: The Second Annual New Intelligent Enterprise Survey can be done for the following purposes –
1. Strategic planning using facts provided in First Look: The Second Annual New Intelligent Enterprise Survey case study
2. Improving business portfolio management of Survey Data
3. Assessing feasibility of the new initiative in Organizational Development field.
4. Making a Organizational Development topic specific business decision
5. Set goals for the organization
6. Organizational restructuring of Survey Data
Strengths First Look: The Second Annual New Intelligent Enterprise Survey | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The strengths of Survey Data in First Look: The Second Annual New Intelligent Enterprise Survey Harvard Business Review case study are -
Strong track record of project management
– Survey Data 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 in the First Look: The Second Annual New Intelligent Enterprise Survey 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
– Survey Data is present in almost all the verticals within the industry. This has provided firm in First Look: The Second Annual New Intelligent Enterprise Survey 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 Survey Data in the sector have low bargaining power. First Look: The Second Annual New Intelligent Enterprise Survey has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Survey Data to manage not only supply disruptions but also source products at highly competitive prices.
Ability to lead change in Organizational Development field
– Survey Data 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 Survey Data in – penetrating new markets, reaching out to new customers, and providing different value propositions to different customers in the international markets.
High switching costs
– The high switching costs that Survey Data 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.
Digital Transformation in Organizational Development segment
- digital transformation varies from industry to industry. For Survey Data digital transformation journey comprises differing goals based on market maturity, customer technology acceptance, and organizational culture. Survey Data 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 Survey Data
– The covid-19 pandemic has put organizational resilience at the centre of everthing that Survey Data does. Organizational resilience comprises - Financial Resilience, Operational Resilience, Technological Resilience, Organizational Resilience, Business Model Resilience, and Reputation Resilience.
Innovation driven organization
– Survey Data is one of the most innovative firm in sector. Manager in First Look: The Second Annual New Intelligent Enterprise Survey Harvard Business Review case study can use Clayton Christensen Disruptive Innovation strategies to further increase the scale of innovtions in the organization.
Effective Research and Development (R&D)
– Survey Data 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 First Look: The Second Annual New Intelligent Enterprise Survey - staying ahead in the industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.
Cross disciplinary teams
– Horizontal connected teams at the Survey Data 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.
Analytics focus
– Survey Data 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 Nina Kruschwitz 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.
Weaknesses First Look: The Second Annual New Intelligent Enterprise Survey | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The weaknesses of First Look: The Second Annual New Intelligent Enterprise Survey are -
Workers concerns about automation
– As automation is fast increasing in the segment, Survey Data 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 First Look: The Second Annual New Intelligent Enterprise Survey 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 Survey Data 's lucrative customers.
Compensation and incentives
– The revenue per employee as mentioned in the HBR case study First Look: The Second Annual New Intelligent Enterprise Survey, is just above the industry average. Survey Data 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.
Employees’ incomplete understanding of strategy
– From the instances in the HBR case study First Look: The Second Annual New Intelligent Enterprise Survey, it seems that the employees of Survey Data 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.
Capital Spending Reduction
– Even during the low interest decade, Survey Data 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.
Slow decision making process
– As mentioned earlier in the report, Survey Data 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. Survey Data 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.
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 Survey Data supply chain. Even after few cautionary changes mentioned in the HBR case study - First Look: The Second Annual New Intelligent Enterprise Survey, it is still heavily dependent upon the existing supply chain. The existing supply chain though brings in cost efficiencies but it has left Survey Data vulnerable to further global disruptions in South East Asia.
Aligning sales with marketing
– It come across in the case study First Look: The Second Annual New Intelligent Enterprise Survey 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 First Look: The Second Annual New Intelligent Enterprise Survey can leverage the sales team experience to cultivate customer relationships as Survey Data is planning to shift buying processes online.
High cash cycle compare to competitors
Survey Data has a high cash cycle compare to other players in the industry. It needs to shorten the cash cycle by 12% to be more competitive in the marketplace, reduce inventory costs, and be more profitable.
No frontier risks strategy
– After analyzing the HBR case study First Look: The Second Annual New Intelligent Enterprise Survey, it seems that company is thinking about the frontier risks that can impact Organizational Development strategy. But it has very little resources allocation to manage the risks emerging from events such as natural disasters, climate change, melting of permafrost, tacking the rise of artificial intelligence, opportunities and threats emerging from commercialization of space etc.
Increasing silos among functional specialists
– The organizational structure of Survey Data is dominated by functional specialists. It is not different from other players in the Organizational Development segment. Survey Data needs to de-silo the office environment to harness the true potential of its workforce. Secondly the de-silo will also help Survey Data to focus more on services rather than just following the product oriented approach.
Opportunities First Look: The Second Annual New Intelligent Enterprise Survey | 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 First Look: The Second Annual New Intelligent Enterprise Survey are -
Creating value in data economy
– The success of analytics program of Survey Data has opened avenues for new revenue streams for the organization in the industry. This can help Survey Data to build a more holistic ecosystem as suggested in the First Look: The Second Annual New Intelligent Enterprise Survey case study. Survey Data can build new products and services such as - data insight services, data privacy related products, data based consulting services, etc.
Buying journey improvements
– Survey Data can improve the customer journey of consumers in the industry by using analytics and artificial intelligence. First Look: The Second Annual New Intelligent Enterprise Survey suggest that firm 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.
Learning at scale
– Online learning technologies has now opened space for Survey Data 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.
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. Survey Data can explore opportunities that can attract volunteers and are consistent with its mission and vision.
Manufacturing automation
– Survey Data can use the latest technology developments to improve its manufacturing and designing process in Organizational Development 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.
Reforming the budgeting process
- By establishing new metrics that will be used to evaluate both existing and potential projects Survey Data can not only reduce the costs of the project but also help it in integrating the projects with other processes within the organization.
Loyalty marketing
– Survey Data 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
– Survey Data 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 First Look: The Second Annual New Intelligent Enterprise Survey - to build a competitive advantage using analytics. The analytics driven competitive advantage can help Survey Data to build faster Go To Market strategies, better consumer insights, developing relevant product features, and building a highly efficient supply chain.
Finding new ways to collaborate
– Covid-19 has not only transformed business models of companies in Organizational Development industry, but it has also influenced the consumer preferences. Survey Data can tie-up with other value chain partners to explore new opportunities regarding meeting customer demands and building a rewarding and engaging relationship.
Developing new processes and practices
– Survey Data can develop new processes and procedures in Organizational Development 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.
Remote work and new talent hiring opportunities
– The widespread usage of remote working technologies during Covid-19 has opened opportunities for Survey Data 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 Survey Data to hire the very best people irrespective of their geographical location.
Leveraging digital technologies
– Survey Data 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.
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 Survey Data 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 First Look: The Second Annual New Intelligent Enterprise Survey External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The threats mentioned in the HBR case study First Look: The Second Annual New Intelligent Enterprise Survey are -
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. Survey Data needs to understand the core reasons impacting the Organizational Development industry. This will help it in building a better workplace.
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 Survey Data in the Organizational Development sector and impact the bottomline of the organization.
Stagnating economy with rate increase
– Survey Data 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 field.
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.
Shortening product life cycle
– it is one of the major threat that Survey Data is facing in Organizational Development sector. It can lead to higher research and development costs, higher marketing expenses, lower customer loyalty, etc.
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. Survey Data 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.
Increasing wage structure of Survey Data
– 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 Survey Data.
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 Survey Data business can come under increasing regulations regarding data privacy, data security, etc.
Technology acceleration in Forth Industrial Revolution
– Survey Data has witnessed rapid integration of technology during Covid-19 in the Organizational Development industry. As one of the leading players in the industry, Survey Data needs to keep up with the evolution of technology in the Organizational Development 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, Survey Data 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 First Look: The Second Annual New Intelligent Enterprise Survey .
Trade war between China and United States
– The trade war between two of the biggest economies can hugely impact the opportunities for Survey Data in the Organizational Development industry. The Organizational Development 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.
Learning curve for new practices
– As the technology based on artificial intelligence and machine learning platform is getting complex, as highlighted in case study First Look: The Second Annual New Intelligent Enterprise Survey, Survey Data may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Organizational Development .
Easy access to finance
– Easy access to finance in Organizational Development field will also reduce the barriers to entry in the industry, thus putting downward pressure on the prices because of increasing competition. Survey Data can utilize it by borrowing at lower rates and invest it into research and development, capital expenditure to fortify its core competitive advantage.
Weighted SWOT Analysis of First Look: The Second Annual New Intelligent Enterprise Survey 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 First Look: The Second Annual New Intelligent Enterprise Survey 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 First Look: The Second Annual New Intelligent Enterprise Survey 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 First Look: The Second Annual New Intelligent Enterprise Survey 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 First Look: The Second Annual New Intelligent Enterprise Survey 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 Survey Data needs to make to build a sustainable competitive advantage.
