Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
Leadership & Managing People
Strategy / MBA Resources
Case Study SWOT Analysis Solution
Case Study Description of Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy
Over the next 10 years, the intelligent use of data will become one of the greatest competitive advantages a company can possess. At the same time, the loss or mishandling of data/information is one of the bigger risks facing modern businesses. As consumers become increasingly aware of security issues, and of the value of their data, data/information policy is moving away from the 'gather-with-consent' approach toward a model that holds the business accountable at each stage of the process. This fundamental shift in practice will need to be reflected in the data/ information management policy of the business. Yet, many companies lack up-to-date data/information policies and few recognize the growing influence of the European Union on the manner of data/information handling. This installment of Business Law & Ethics Corner seeks to assist in the development of new policy by explaining key legislative and policy initiatives in both the United States and the European Union, and by making data management policy recommendations.
Swot Analysis of "Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy" written by Anjanette H Raymond includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Data Policy facing as an external strategic factors. Some of the topics covered in Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy case study are - Strategic Management Strategies, and Leadership & Managing People.
Some of the macro environment factors that can be used to understand the Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy casestudy better are - – wage bills are increasing, central banks are concerned over increasing inflation, there is backlash against globalization, challanges to central banks by blockchain based private currencies, talent flight as more people leaving formal jobs, increasing inequality as vast percentage of new income is going to the top 1%, increasing household debt because of falling income levels,
supply chains are disrupted by pandemic , increasing commodity prices, etc
Introduction to SWOT Analysis of Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy
SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Data Policy, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Data Policy 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 Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy can be done for the following purposes –
1. Strategic planning using facts provided in Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy case study
2. Improving business portfolio management of Data Policy
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 Data Policy
Strengths Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The strengths of Data Policy in Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy Harvard Business Review case study are -
Superior customer experience
– The customer experience strategy of Data Policy in the segment is based on four key concepts – personalization, simplification of complex needs, prompt response, and continuous engagement.
Innovation driven organization
– Data Policy is one of the most innovative firm in sector. Manager in Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy Harvard Business Review case study can use Clayton Christensen Disruptive Innovation strategies to further increase the scale of innovtions in the organization.
Successful track record of launching new products
– Data Policy has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Data Policy 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)
– Data Policy 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 Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy - staying ahead in the industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.
Analytics focus
– Data Policy 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 Anjanette H Raymond 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 Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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
– Data Policy is present in almost all the verticals within the industry. This has provided firm in Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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.
Learning organization
- Data Policy 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 Data Policy is open place that encourages instructiveness, ideation, open minded discussions, and creativity. Employees and leaders in Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy Harvard Business Review case study emphasize – knowledge, initiative, and innovation.
High brand equity
– Data Policy has strong brand awareness and brand recognition among both - the exiting customers and potential new customers. Strong brand equity has enabled Data Policy to keep acquiring new customers and building profitable relationship with both the new and loyal customers.
Ability to recruit top talent
– Data Policy is one of the leading recruiters in the industry. Managers in the Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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
– Data Policy 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 Data Policy in – penetrating new markets, reaching out to new customers, and providing different value propositions to different customers in the international markets.
Cross disciplinary teams
– Horizontal connected teams at the Data Policy 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.
Weaknesses Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The weaknesses of Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy are -
Slow to strategic competitive environment developments
– As Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy HBR case study mentions - Data Policy 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.
Employees’ incomplete understanding of strategy
– From the instances in the HBR case study Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy, it seems that the employees of Data Policy 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.
No frontier risks strategy
– After analyzing the HBR case study Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy, it seems that company is thinking about the frontier risks that can impact Leadership & Managing People 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.
Slow decision making process
– As mentioned earlier in the report, Data Policy 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. Data Policy 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.
Workers concerns about automation
– As automation is fast increasing in the segment, Data Policy 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.
Lack of clear differentiation of Data Policy products
– To increase the profitability and margins on the products, Data Policy needs to provide more differentiated products than what it is currently offering in the marketplace.
Need for greater diversity
– Data Policy has taken concrete steps on diversity, equity, and inclusion. But the efforts so far has resulted in limited success. It needs to expand the recruitment and selection process to hire more people from the minorities and underprivileged background.
Slow to harness new channels of communication
– Even though competitors are using new communication channels such as Instagram, Tiktok, and Snap, Data Policy is slow explore the new channels of communication. These new channels of communication mentioned in marketing section of case study Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy can help to provide better information regarding products and services. It can also build an online community to further reach out to potential customers.
High cash cycle compare to competitors
Data Policy 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.
High operating costs
– Compare to the competitors, firm in the HBR case study Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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 Data Policy 's lucrative customers.
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 Policy supply chain. Even after few cautionary changes mentioned in the HBR case study - Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy, it is still heavily dependent upon the existing supply chain. The existing supply chain though brings in cost efficiencies but it has left Data Policy vulnerable to further global disruptions in South East Asia.
Opportunities Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy | 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 Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy are -
Buying journey improvements
– Data Policy can improve the customer journey of consumers in the industry by using analytics and artificial intelligence. Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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.
Developing new processes and practices
– Data Policy 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.
Increase in government spending
– As the United States and other governments are increasing social spending and infrastructure spending to build economies post Covid-19, Data Policy can use these opportunities to build new business models that can help the communities that Data Policy operates in. Secondly it can use opportunities from government spending in Leadership & Managing People sector.
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 Data Policy in the consumer business. Now Data Policy can target international markets with far fewer capital restrictions requirements than the existing system.
Building a culture of innovation
– managers at Data Policy 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.
Using analytics as competitive advantage
– Data Policy 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 Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy - to build a competitive advantage using analytics. The analytics driven competitive advantage can help Data Policy 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 Leadership & Managing People industry, but it has also influenced the consumer preferences. Data Policy can tie-up with other value chain partners to explore new opportunities regarding meeting customer demands and building a rewarding and engaging relationship.
Loyalty marketing
– Data Policy 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.
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 Policy 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.
Harnessing reconfiguration of the global supply chains
– As the trade war between US and China heats up in the coming years, Data Policy 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, Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy, to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.
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. Data Policy 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 Policy 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 Data Policy 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 Policy to hire the very best people irrespective of their geographical location.
Manufacturing automation
– Data Policy can use the latest technology developments to improve its manufacturing and designing process in Leadership & Managing People 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.
Threats Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The threats mentioned in the HBR case study Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy are -
Technology acceleration in Forth Industrial Revolution
– Data Policy has witnessed rapid integration of technology during Covid-19 in the Leadership & Managing People industry. As one of the leading players in the industry, Data Policy 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.
High dependence on third party suppliers
– Data Policy 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.
Increasing international competition and downward pressure on margins
– Apart from technology driven competitive advantage dilution, Data Policy 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 Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy .
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 Policy in the Leadership & Managing People sector and impact the bottomline of the organization.
Barriers of entry lowering
– As technology is more democratized, the barriers to entry in the industry are lowering. It can presents Data Policy with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the sector.
Shortening product life cycle
– it is one of the major threat that Data Policy is facing in Leadership & Managing People sector. It can lead to higher research and development costs, higher marketing expenses, lower customer loyalty, etc.
Consumer confidence and its impact on Data Policy 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.
Increasing wage structure of Data Policy
– 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 Data Policy.
Stagnating economy with rate increase
– Data Policy 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.
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. Data Policy can utilize it by borrowing at lower rates and invest it into research and development, capital expenditure to fortify its core competitive advantage.
Environmental challenges
– Data Policy 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 Policy can take advantage of this fund but it will also bring new competitors in the Leadership & Managing People industry.
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 Data Policy.
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.
Weighted SWOT Analysis of Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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 Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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 Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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 Data Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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 Management Regulation: Your Company Needs an Up-To-Date Data/Information Management Policy 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 Data Policy needs to make to build a sustainable competitive advantage.
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