10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
Leadership & Managing People
Strategy / MBA Resources
Case Study SWOT Analysis Solution
Case Study Description of 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work
This is an MIT Sloan Management Review article. How are organizations attempting to compete on their ability to capture, analyze and act on information? How do you win with data and analytics? MIT Sloan Management Review conducted a global survey of nearly 3,000 executives to learn how they're turning the data deluge and analytics into competitive advantage -or trying to, anyway. The major comprehensive analysis is still to come, but in these two companion articles ("10 Insights"and "10 Data Points"), readers will find an early snapshot of how managers are answering the most important question organizations face. To answer that question, SMR has teamed with the IBM Institute for Business Value to build a new innovation hub and research program called "The New Intelligent Enterprise." Through the SMR and IBM IBV collaboration, The New Intelligent Enterprise aims to help managers understand how they can capitalize on the ways that information and analytics are changing the competitive landscape. What threats and opportunities will companies face? What new business models, organizational approaches, competitive strategies, work processes and leadership methods will emerge? How will the best organizations reinvent themselves to use technology and analytics to achieve novel competitive advantage? How will they learn not only to be smarter, but to act smarter?
Authors :: Michael S. Hopkins, Steve LaValle, Fred Balboni, Rebecca Shockley
Swot Analysis of "10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work" written by Michael S. Hopkins, Steve LaValle, Fred Balboni, Rebecca Shockley includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Analytics Intelligent facing as an external strategic factors. Some of the topics covered in 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work case study are - Strategic Management Strategies, Economics, Innovation, Technology and Leadership & Managing People.
Some of the macro environment factors that can be used to understand the 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work casestudy better are - – talent flight as more people leaving formal jobs, technology disruption, increasing inequality as vast percentage of new income is going to the top 1%, increasing household debt because of falling income levels, there is increasing trade war between United States & China, customer relationship management is fast transforming because of increasing concerns over data privacy, increasing energy prices,
digital marketing is dominated by two big players Facebook and Google, cloud computing is disrupting traditional business models, etc
Introduction to SWOT Analysis of 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work
SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Analytics Intelligent, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Analytics Intelligent 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work can be done for the following purposes –
1. Strategic planning using facts provided in 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work case study
2. Improving business portfolio management of Analytics Intelligent
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 Analytics Intelligent
Strengths 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The strengths of Analytics Intelligent in 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work Harvard Business Review case study are -
Low bargaining power of suppliers
– Suppliers of Analytics Intelligent in the sector have low bargaining power. 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Analytics Intelligent to manage not only supply disruptions but also source products at highly competitive prices.
High brand equity
– Analytics Intelligent has strong brand awareness and brand recognition among both - the exiting customers and potential new customers. Strong brand equity has enabled Analytics Intelligent to keep acquiring new customers and building profitable relationship with both the new and loyal customers.
High switching costs
– The high switching costs that Analytics Intelligent 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.
Operational resilience
– The operational resilience strategy in the 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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.
Digital Transformation in Leadership & Managing People segment
- digital transformation varies from industry to industry. For Analytics Intelligent digital transformation journey comprises differing goals based on market maturity, customer technology acceptance, and organizational culture. Analytics Intelligent 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 Analytics Intelligent
– The covid-19 pandemic has put organizational resilience at the centre of everthing that Analytics Intelligent does. Organizational resilience comprises - Financial Resilience, Operational Resilience, Technological Resilience, Organizational Resilience, Business Model Resilience, and Reputation Resilience.
Training and development
– Analytics Intelligent has one of the best training and development program in the industry. The effectiveness of the training programs can be measured in 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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.
Innovation driven organization
– Analytics Intelligent is one of the most innovative firm in sector. Manager in 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work Harvard Business Review case study can use Clayton Christensen Disruptive Innovation strategies to further increase the scale of innovtions in the organization.
Highly skilled collaborators
– Analytics Intelligent 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work HBR case study have helped the firm to develop new products and bring them quickly to the marketplace.
Successful track record of launching new products
– Analytics Intelligent has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Analytics Intelligent 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.
Effective Research and Development (R&D)
– Analytics Intelligent 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work - staying ahead in the industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.
Strong track record of project management
– Analytics Intelligent is known for sticking to its project targets. This enables the firm to manage – time, project costs, and have sustainable margins on the projects.
Weaknesses 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The weaknesses of 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work are -
High dependence on star products
– The top 2 products and services of the firm as mentioned in the 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work HBR case study still accounts for major business revenue. This dependence on star products in has resulted into insufficient focus on developing new products, even though Analytics Intelligent has relatively successful track record of launching new products.
Workers concerns about automation
– As automation is fast increasing in the segment, Analytics Intelligent 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.
Slow to strategic competitive environment developments
– As 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work HBR case study mentions - Analytics Intelligent 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.
Capital Spending Reduction
– Even during the low interest decade, Analytics Intelligent 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.
Interest costs
– Compare to the competition, Analytics Intelligent 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.
Increasing silos among functional specialists
– The organizational structure of Analytics Intelligent is dominated by functional specialists. It is not different from other players in the Leadership & Managing People segment. Analytics Intelligent needs to de-silo the office environment to harness the true potential of its workforce. Secondly the de-silo will also help Analytics Intelligent to focus more on services rather than just following the product oriented approach.
Ability to respond to the competition
– As the decision making is very deliberative, highlighted in the case study 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work, in the dynamic environment Analytics Intelligent has struggled to respond to the nimble upstart competition. Analytics Intelligent has reasonably good record with similar level competitors but it has struggled with new entrants taking away niches of its business.
Compensation and incentives
– The revenue per employee as mentioned in the HBR case study 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work, is just above the industry average. Analytics Intelligent 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.
Slow decision making process
– As mentioned earlier in the report, Analytics Intelligent 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. Analytics Intelligent 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.
Products dominated business model
– Even though Analytics Intelligent 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 - 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work should strive to include more intangible value offerings along with its core products and services.
Aligning sales with marketing
– It come across in the case study 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work can leverage the sales team experience to cultivate customer relationships as Analytics Intelligent is planning to shift buying processes online.
Opportunities 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work | 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work are -
Harnessing reconfiguration of the global supply chains
– As the trade war between US and China heats up in the coming years, Analytics Intelligent 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, 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work, to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.
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. Analytics Intelligent can explore opportunities that can attract volunteers and are consistent with its mission and vision.
Finding new ways to collaborate
– Covid-19 has not only transformed business models of companies in Leadership & Managing People industry, but it has also influenced the consumer preferences. Analytics Intelligent can tie-up with other value chain partners to explore new opportunities regarding meeting customer demands and building a rewarding and engaging relationship.
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 Analytics Intelligent in the consumer business. Now Analytics Intelligent can target international markets with far fewer capital restrictions requirements than the existing system.
Changes in consumer behavior post Covid-19
– Consumer behavior has changed in the Leadership & Managing People industry because of Covid-19 restrictions. Some of this behavior will stay once things get back to normal. Analytics Intelligent 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. Analytics Intelligent 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.
Remote work and new talent hiring opportunities
– The widespread usage of remote working technologies during Covid-19 has opened opportunities for Analytics Intelligent 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 Analytics Intelligent to hire the very best people irrespective of their geographical location.
Low interest rates
– Even though inflation is raising its head in most developed economies, Analytics Intelligent 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.
Lowering marketing communication costs
– 5G expansion will open new opportunities for Analytics Intelligent in the field of marketing communication. It will bring down the cost of doing business, provide technology platform to build new products in the Leadership & Managing People segment, and it will provide faster access to the consumers.
Learning at scale
– Online learning technologies has now opened space for Analytics Intelligent 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.
Reforming the budgeting process
- By establishing new metrics that will be used to evaluate both existing and potential projects Analytics Intelligent can not only reduce the costs of the project but also help it in integrating the projects with other processes within the organization.
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 Analytics Intelligent 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.
Creating value in data economy
– The success of analytics program of Analytics Intelligent has opened avenues for new revenue streams for the organization in the industry. This can help Analytics Intelligent to build a more holistic ecosystem as suggested in the 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work case study. Analytics Intelligent can build new products and services such as - data insight services, data privacy related products, data based consulting services, etc.
Buying journey improvements
– Analytics Intelligent can improve the customer journey of consumers in the industry by using analytics and artificial intelligence. 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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.
Threats 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The threats mentioned in the HBR case study 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work are -
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 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. Analytics Intelligent can utilize it by borrowing at lower rates and invest it into research and development, capital expenditure to fortify its core competitive advantage.
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 Analytics Intelligent in the Leadership & Managing People sector and impact the bottomline of the organization.
Learning curve for new practices
– As the technology based on artificial intelligence and machine learning platform is getting complex, as highlighted in case study 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work, Analytics Intelligent may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Leadership & Managing People .
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 Analytics Intelligent.
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.
Increasing international competition and downward pressure on margins
– Apart from technology driven competitive advantage dilution, Analytics Intelligent 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work .
High dependence on third party suppliers
– Analytics Intelligent high dependence on third party suppliers can disrupt its processes and delivery mechanism. For example -the current troubles of car makers because of chip shortage is because the chip companies started producing chips for electronic companies rather than car manufacturers.
Technology acceleration in Forth Industrial Revolution
– Analytics Intelligent has witnessed rapid integration of technology during Covid-19 in the Leadership & Managing People industry. As one of the leading players in the industry, Analytics Intelligent 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.
Trade war between China and United States
– The trade war between two of the biggest economies can hugely impact the opportunities for Analytics Intelligent in the Leadership & Managing People industry. The Leadership & Managing People 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.
Barriers of entry lowering
– As technology is more democratized, the barriers to entry in the industry are lowering. It can presents Analytics Intelligent with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the sector.
Consumer confidence and its impact on Analytics Intelligent 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.
Environmental challenges
– Analytics Intelligent 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. Analytics Intelligent can take advantage of this fund but it will also bring new competitors in the Leadership & Managing People industry.
Weighted SWOT Analysis of 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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 10 Insights: A First Look at The New Intelligent Enterprise Survey on Winning With Data & 10 Data Points: Information and Analytics at Work 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 Analytics Intelligent needs to make to build a sustainable competitive advantage.
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