Thank You!
Thank you for your email subscription. Check your email to get Coupon Code.
Marketing Strategy for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture
Posted by Addison on Mar-29-2023
Introduction
The report primarily focuses on the marketing strategy of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to give a reader an overview of the growth dynamics of the company. Recently, several strategic issues and managerial problems have been identified in marketing strategy of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture that have drawn the attention of the entire management to devise new marketing strategies that can help the company to resolve the problems to continue its expansion and future growth to achieve a competitive edge in the marketplace. This report is written to provide Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture marketing strategy with the required strategic solutions using multiple frameworks and tools.
External Environmental Analysis
PESTLE Analysis is the most popular strategic tool that is used by many organizations when conducting an external environmental analysis. This framework typically focuses on political, economic, social, technological, legal, and environmental factors that can impact the macro environment of the business (Zalengera, E.Blanchard, & C.Eames, 2014).
Political factors
Political Stability
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates in a politically stable environment, which means that it provides the company with more friendly and stable business growth opportunities (Christodoulou & Cullinane, 2019). However, since Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates in multiple countries, there are high chances of various political tensions that can cause instability in market growth trends for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. This can limit the company's growth opportunities.
Pressure Groups
Moreover, it is important for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to analyze and monitor the activities of pressure groups. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can create a close collaboration with these groups to achieve long-term goals.
Corruption and Changing Policies
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture must keep a close check on the changes in any government policies because they can directly impact the performance of the business. The operations of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture are its different countries can become unpredictable if there is a high level of corruption and weak enforcement of the law (Achinas, Horjus, & Achinas, 2019).
Trade and Taxes
The profitability of a company is directly influenced if there are high taxes in a country. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should look into the taxation policies in each country before further expanding its operations (Eierle, Hartlieb, & C. Hay, 2022). Similarly, if there are high trade restrictions, it can get difficult for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to import and export its products, impacting the relationships with trade partners.
Economic factors
GDP, Employment, and Exchange Rates
The long-term growth strategies of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture are majorly determined by the GDP growth of the economy. The purchasing power of consumers significantly increases with a high GDP. High unemployment in an economy shows that Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can benefit from surplus labor with low-cost wages. Furthermore, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should monitor interest rates as it can affect the borrowing ability. With that being said, if there is a high fluctuation in currency, the profitability of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can also be influenced (Sadeghi, 2020).
Labor Market
It is important for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to make appropriate predictions regarding the labor market conditions in a specific economy (Sadeghi, 2020). This can help the company to hire a more talented workforce that can improve the performance of the company.
Industry lifecycle stage
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should consider expanding its operations in growing economies to benefit from growth opportunities. It can be challenging for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to enter a mature industry at a growing stage (Villamarín & Pinzon, 2017).
Social factors
Demographics
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should study the changing patterns of demographics, such as socio-economic variables, the aging population, and trends in migration (Barbara & Cortis, 2017). This can help the company to identify the right segment to target with a high potential for growth opportunities.
Cultural norms
Every country and society has a distinctive culture with different norms and values. It is important for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to study and identify social class stratification.
E-commerce
There has been a significant shift in online shopping. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture needs to adopt necessary changes considering the growing use of social media networking sites and mobile phones to increase its revenue and overall profitability (Villamarín & Pinzon, 2017).
Technological factors
Technological innovations
On-going technological innovations should be considered carefully by Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture so that it can stay ahead of the competitive market. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should continue working on introducing major technological transformations to achieve a competitive advantage (Rastogi & TRIVEDI, 2016).
Social Media Marketing
The collaboration with consumers has been growing rapidly because of the development of communication technologies (Rastogi & TRIVEDI, 2016). Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can take it as a great opportunity where can use innovative strategies to expand its customer base.
Environmental factors
Waste Management
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should implement the latest technological tools to minimize environmental pollution. Waste management is now getting popular and has been considered a major business norm (Igliński, Iglińska, & Cichosz, 2016).
Climatic Conditions and Eco-friendly products
Climatic conditions can influence the efficiency of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. The cost of a company's operations can be increased if there are extreme weather conditions. Similarly, there has been an increasing demand for eco-friendly products. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should work towards adopting more sustainable business practices to gain customer trust (Barkauskas, Barkauskienė, & Jasinskas, 2015).
Legal factors
Employee protection laws
It is important for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to follow the health and safety laws for its employees that are issued by the authorities to ensure the safety of its labor.
Consumer laws
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should protect its customer data to ensure their security and privacy concerns. Moreover, it should set the right price with the right product quality (Igliński, Iglińska, & Cichosz, 2016).
Porter's Five Forces
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can use Porter's Five Forces to analyze the competitive landscape of the industry. The strategic planners of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can use this framework to make effective decisions.
Threat of New Entrants
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates in an industry where it is difficult to achieve economies of scale, making it difficult for new entrants to enter the industry (Yunna & Yisheng, 2014). There is a strong product differentiation with high capital requirements. Moreover, it is difficult to establish a distribution network easily in this industry. Thus, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has a weak threat of new entrants.
Bargaining Power of Suppliers
There are more suppliers in the industry of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. This shows that there is less control over prices. Organizations like Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can easily switch to other suppliers because of less differentiation in products. This makes the bargaining power of suppliers a weak force in Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture's industry (H. Th. Bruijl, 2018).
Bargaining Power of Buyers
The industry in which Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates has many suppliers as companies to buyers. This means that buyers have fewer options and do not have control over prices (H. Th. Bruijl, 2018). The high product differentiation shows that there are few alternative products for buyers, and there is a high switching cost. This makes the bargaining power of buyers a weak force in the industry.
Threat of Substitute Products and Services
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates in an industry that offers very few substitutes to its customers. The substitutes that are available are expensive because of their high quality (Zhao, Zuo, & Wu, 2016). However, companies like Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture sell their products at a lower prices. This clearly shows that buyers may feel reluctant when switching to other substitutes.
Rivalry Among Existing Firms
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates in a less competitive industry. The already established companies have a large market share, meaning that any move by the existing companies will be noticed. Moreover, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has to take several competitive actions to become a market leader, as the industry is likely to grow rapidly in the coming years (Aithal, 2020).
SWOT Analysis
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can make use of SWOT analysis to effectively analyze the company's internal strengths, weaknesses, external opportunities, and threats.
Strengths
Strong distribution network
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates in various countries and has multiple outlets that help the company to deliver its products quickly to its customers. This shows that Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has a strong distribution network (Benzaghta, Elwalda, & Mousa, 2021).
Financial position
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has established itself as a strong financial company over the past few years. It has generated enough profits that can be used to finance any future expenditure (Basset & Mohamed, 2018).
Automation
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has adopted the latest and innovative technology in its business operations, which has allowed the company to reduce its production costs (Benzaghta, Elwalda, & Mousa, 2021).
Social media presence
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has been successful in establishing itself as a strong brand on social media platforms that, includes Facebook, Twitter, and Instagram. This increases customer engagement (Basset & Mohamed, 2018).
Weaknesses
High rent costs
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has its manufacturing plants on rented properties. This increases the company's overall costs, and a significant portion of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture's profits go into paying the rent (Comino & Ferretti, 2016).
Research and Development
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has not been able to conduct effective and in-depth market research regarding new markets and products (Comino & Ferretti, 2016). Customer trends are always evolving, and it is important for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to take immediate action in conducting its research.
Centralized Power
There has been a centralized decision-making process in Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. This means that employees have to consult their managers before taking any decision themselves. This slow down the decision-making process. and employees feel demotivated. Thus, impacting the operations of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture (Comino & Ferretti, 2016).
Opportunities
Presence of Internet
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has a great opportunity of expanding its business by using the internet. Since there has been a growing trend in online shopping Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can boost its sales by expanding its online stores (Yan, Xia, & X.H.Bao, 2015). Additionally, social media platforms can be updated constantly to engage customers with all the new products introduced by Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture.
Technological Innovations
Technology is constantly evolving, and Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can benefit from it by implementing the technology in its various departments. Manufacturing process can be completed automated, which can eventually help Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to reduce its costs (Taghavifard, Mahdiraji, & Alibakhshi, 2018).
Globalization
The continuous increase in globalization has allowed Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to expand its business operations across borders. It has the opportunity of entering new markets (Yan, Xia, & X.H.Bao, 2015).
Threats
New Entrants
Recently, many companies are entering the industry in which Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates. This means that there are chances of increased competition. This poses a threat to Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture as it has to put more effort into gaining market share (Taghavifard, Mahdiraji, & Alibakhshi, 2018).
Fluctuations in exchange rates
The exchange rates are highly subjected to fluctuations that negatively impact the sales of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture needs to study the changing fluctuations to keep up with its profitability (Vlados & Chatzinikolaou, 2019).
Consumer trends
The consumer trends are constantly changing, that causes changes in their demands. This puts pressure on companies like Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture, who have to continuously meet their consumer demands. Moreover, there is a significant threat from substitute products because consumers tend to switch to these companies (Vlados & Chatzinikolaou, 2019).
Marketing Mix
Product
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates in a wider range of products. Each of the products has its further product lines that are sold under the Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. This means that customers can benefit from a large variety of products. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture sells highly differentiated products with higher quality that, gives it a competitive edge (Khan, 2014).
Price
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture follows a competitive pricing strategy. The company also takes into account all its costs before setting its prices (Londhe, 2014). Currently, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture is using a product bundle pricing strategy where customers get bundled products at lower prices.
Place
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has adopted various distribution channels to reach its customers. The company sells its products through its website directly (Thabit & Raewf, 2018). Apart from this, it also distributes its products to wholesalers, who then further sell it to small retailers. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has its own retail stores where it sells its products directly to consumers.
Promotion
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture uses traditional and modern promotional techniques. TV ads are used to reach a larger audience. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture also advertises on social media sites such as Facebook, Instagram, and Twitter. Events are sponsored by the company. Moreover, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture participates in several exhibitions (Londhe, 2014).
VRIO Analysis
Valuable
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture engages in corporate social responsibility activities. This has allowed the company to establish a strong brand image. Since, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has a well-established distribution network, the products are reached to consumers in a timely manner. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has been able to introduce innovation in its various departments, which has lowered its costs (Ariyani & Daryanto, 2018).
Rare
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture operates in multiple countries. This means that its global presence is a rare factor. It works towards an organizational culture that encourages teamwork, and creativity among employees (Ariyani & Daryanto, 2018). Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture is also able to adapt to different societies, and cultures due to its exposure to various locations.
Inimitable
The products produced by Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture are of a high quality. Customers make repetitive purchases, and thus it is an inimitable source. (Miethlich & G. Oldenburg, 2019). Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture has a significant placement of its stores that gives an easy access to its customers. Additionally, the company has been using a competitive pricing strategy because it has been able to achieve economies of scale, thus lower production costs.
Organization
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture, over the years, has successfully gained a financial strength. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can make use of these finances to invest in major acquisitions that give it more growth opportunities. The advancements in technology have allowed Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to manage its operations more effectively. Distribution channels are another resource for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. The supply chain is very efficient, resulting in more revenue (Miethlich & G. Oldenburg, 2019).
Value Chain Analysis
Primary Activities
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture is involved in primary activities such as the production of goods and then selling them to the target audience.
Inbound Logistics
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should ensure to have a strong relationship with its suppliers to avoid any inconvenience in receiving, storing, and distributing the product. This will help Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to have a more effective transformation of a product (Ariwibowo & Saputro, 2021).
Operations
Operations involves manufacturing as well as services. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should conduct an in-depth analysis of its operational activities to remain ahead of its competitors (M.El-Sayed, W.Dickson, & O.El-Naggar, 2015). This will increase the productivity of the company, and more profits can be generated.
Outbound Logistics
It is important for Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to analyze, and optimize its outbound logistics so that it is able to achieve the long-term corporate goals. Managing outbound activities properly reduces the chance of late deliveries (M.El-Sayed, W.Dickson, & O.El-Naggar, 2015).
Marketing and Sales
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should use various marketing and sales techniques to differentiate its products from its competitors. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can adopt marketing and sales activities such as promotional activities, advertising, and building strong relationships with suppliers and customers (Ariwibowo & Saputro, 2021).
Services
In terms of services, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture must ensure that it provides its customers with the pre-sale and post-sale services (Jaligot, C.Wilson, & R.Cheeseman, 2016). The post-sale service typically falls into the promotional activities of a company. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can thus develop its customer loyalty.
Secondary Activities
Firm infrastructure
A strong infrastructure of a firm can enable Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to optimize the entire value chain of the company. Moreover, by controlling the infrastructure activities, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can be in a better position to get a strong foothold in the competitive marketplace (Darmawan & Wiguna, 2014).
Human Resource Management
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should place its major focus on analyzing the different aspects of HR, such as recruitment, selection, training, and performance evaluation of employees (Darmawan & Wiguna, 2014). Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can reduce its costs by identifying and analyzing the costs associated with hiring and training.
Procurement
Procurement is an important element in the Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture's value chain. It is important for the company to assess its overall procurement activities so that the inbound, outbound, and operational activities can be optimized (Kumar & P. V., 2016).
Ansoff's Matrix
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can implement Ansoff's Matrix to make decisions regarding its business growth. This framework includes four different strategic choices that can be selected by Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture.
Market Penetration
Production capacity
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can increase its overall production capacity. This will allow the company to reach more wider audience in an existing market. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can also benefit from the reduced costs by expanding its production capacity. Thus, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can attract more customers using competitive pricing (Madsen, 2017).
Marketing Investment
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can penetrate the market by investing more in marketing and sales activities. This will help the company to engage with its customer more effectively, leading to more potential customers (Dawes, 2020).
Distribution Channels
Innovative and unique distribution channels can be explored by Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. This will enable the company to reach new segments and groups of customers (Dawes, 2020). In addition to this, Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can penetrate the market by improving its supply chain, giving more accessibility to customers.
Joint Ventures/Acquisitions
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can enter into joint ventures or can take over other leading companies of the market. This will give Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture more market share.
Market Development
Research & Development
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should keep on investing in its R&D department, so it is able to identify the changing trends of the market. This will help Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to target the right market at the right time (Mukangai & Murigi, 2021).
Expanding Regionally
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can enter in a new market by expanding its operations regionally. This includes considering different cities of the country. Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture must consider any cultural differences when entering a new market (Mukangai & Murigi, 2021).
New Segments
New segments of the current market can be explored (Mukangai & Murigi, 2021). Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can add new features and product uses to its existing products that satisfies the needs of a different customer segment.
Product Development
Modifications
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can modify the existing product by improving its features to enhance the product offerings.
Launching additional products
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture should invest in its R&D department so it can come up with new and innovative products that attracts and fulfill the needs of the target audience. This will boost the sales of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture and will increase profitability (Khajezadeh, Niasar, & Asli, 2019).
Diversification
Vertical Integration
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can consider vertical integration. This will allow Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to develop and launch new products that are similar to its existing product category (Khajezadeh, Niasar, & Asli, 2019).
Horizontal Integration
Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can diversify its business operation using horizontal integration. This means that the new products and services of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture will not be related to its current products (Dhir & Dhir, 2015).
A new business diversification
Entering into a completely new business can be considered by Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture. The organization can work towards starting a new business that can give a company more growth prospects in the future (Dhir & Dhir, 2015). Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can conglomerate with the help of mergers and acquisitions.
Conclusion
To conclude, it could be said that Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can resolve its current managerial and strategic problems by focusing on its existing products. The company can adopt more attractive marketing strategies that can help Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture to boost its revenue and profitability. It is recommended to focus on maintaining strong supplier relationships. Moreover, it is also advised to focus on more innovative products so Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture can remain competitive in the market.
References
Achinas, S., Horjus, J., & Achinas, V. (2019). A PESTLE Analysis of Biofuels Energy Industry in Europe. Sustainability, 11(24), 5981.
Aithal, P. S. (2020). Study on Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture Analysis Technique for Business Models, Business Strategies, Operating Concepts & Business Systems. International Journal in Management and Social Science, 95-115.
Ariwibowo, P., & Saputro, F. B. (2021). Analysis of Strength & Weakness, Using the Concept of Resource-Based View with the VRIO Framework in Sharia Cooperatives. Jurnal Manajemen Strategi Dan Aplikasi Bisnis, 279 - 294.
Ariyani, W., & Daryanto, A. (2018). Operationalization of Internal Analysis Using the VRIO Framework: Development of Scale for Resource and Capabilities Organization (Case Study: XYZ Company Animal Feed Business Unit). Asian Business Research Journal, 9–14.
Barbara, C., & Cortis, D. (2017). The European Insurance Industry: A PEST Analysis. International Journal of Financial Studies, 5(2), 14.
Barkauskas, V., Barkauskienė, K., & Jasinskas, E. (2015). Analysis of Macro Environmental Factors Influencing the Development of Rural Tourism: Lithuanian Case. Procedia - Social and Behavioral Sciences, 167-172.
Basset, M. A., & Mohamed, M. (2018). An Extension of Neutrosophic AHP–SWOT Analysis for Strategic Planning and Decision-Making. Symmetry, 10(4), 18.
Benzaghta, ,. M., Elwalda, A., & Mousa, M. M. (2021). SWOT analysis applications: An integr T analysis applications: An integrative literature review. Journal of Global Business Insights, 55-73.
Christodoulou, A., & Cullinane, K. (2019). Identifying the Main Opportunities and Challenges from the Implementation of a Port Energy Management System: A SWOT/PESTLE Analysis. Sustainability, 11(21), 6046.
Comino, E., & Ferretti, V. (2016). Indicators-based spatial SWOT analysis: Supporting the strategic planning and management of complex territorial systems. Ecological Indicators, 1104-1117.
Darmawan, M. A., & Wiguna, B. (2014). Value chain analysis for green productivity improvement in the natural rubber supply chain: a case study. Journal of Cleaner Production, 201-211.
Dawes, J. (2020). The Ansoff Matrix: A Legendary Tool, But with Two Logical Problems. SSRN.
Dhir, S., & Dhir, S. (2015). Diversification: Literature Review and Issues. Wiley Online Library.
Eierle, B., Hartlieb, S., & C. Hay, D. (2022). External Factors and the Pricing of Audit Services: A Systematic Review of the Archival Literature Using a PESTLE Analysis. A Journal of Practice & Theory, 95–119.
H. Th. Bruijl, D. G. (2018). The Relevance of Porter's Five Forces in Today's Innovative and Changing Business Environment. SSRN.
Igliński, B., Iglińska, A., & Cichosz, M. (2016). Renewable energy production in the Łódzkie Voivodeship. The PEST analysis of the RES in the voivodeship and in Poland. Renewable and Sustainable Energy Reviews, 737-750.
Jaligot, R., C.Wilson, D., & R.Cheeseman, C. (2016). Applying value chain analysis to informal sector recycling: A case study of the Zabaleen. Resources, Conservation and Recycling, 80-91.
Khajezadeh, M., Niasar, M. S., & Asli, S. A. (2019). Application of Neural Network in Portfolio Product Companies: Integration of Boston Consulting Group Matrix and Ansoff Matrix. International Journal of Economics and Management Engineering, 13(6), 809-813.
Khan, D. M. (2014). The Concept of ‘Marketing Mix’ and its Elements. International Journal of Information, Business and Management, 16(2), 95-107.
Kumar, D., & P. V., R. (2016). Value Chain: A Conceptual Framework. International Jorunal of Engineering and Management Sciences, 74-77.
Londhe, B. (2014). Marketing Mix for Next Generation Marketing. Procedia Economics and Finance, 335-340.
M.El-Sayed, A.-F., W.Dickson, M., & O.El-Naggar, G. (2015). Value chain analysis of the aquaculture feed sector in Egypt. Aquaculture, 92-101.
Madsen, D. Ø. (2017). Not Dead Yet: The Rise, Fall and Persistence of the BCG Matrix. Problems and Perspectives in Management, 19-34 .
Miethlich, B., & G. Oldenburg, A. (2019). The Employment of Persons with Disabilities as a Strategic Asset: A Resource-Based-View using the Value-Rarity-Imitability-Organization (VRIO) Framework. Journal of Eastern Europe Research in Business and Economics, 1-13.
Mukangai, W. I., & Murigi, E. M. (2021). The Effect of Market Development on Sales Performance of Agro-Based Dealers in Nairobi City County, Kenya. Journal of Marketing and Communication, 4(1), 23-35.
Rastogi, N., & TRIVEDI, D. (2016). Pestle Technique- A Tool to Identify External Risks in Construction Projects. International Research Journal of Engineering and Technology, 3(1), 385-388.
Sadeghi, V. a. (2020). The motivational factors of business venturing: Opportunity versus necessity? A gendered perspective on European countries. Journal of Business Research, 279-289.
Taghavifard, M. T., Mahdiraji, H. A., & Alibakhshi, A. M. (2018). An Extension of Fuzzy SWOT Analysis: An Application to Information Technology. Information, 9(3), 46.
Thabit, T., & Raewf, M. (2018). The Evaluation of Marketing Mix Elements: A Case Study. International Journal of Social Sciences & Educational Studies, 4(4), 100 - 109.
Villamarín, J. M., & Pinzon, B. D. (2017). Key Success Factors to Business Intelligence Solution Implementation. Journal of Intelligence Studies in Business, 48-69.
Vlados, C., & Chatzinikolaou, D. (2019). Towards a Restructuration of the Conventional SWOT Analysis. Business and Management Studies, 76-84.
Yan, J., Xia, F., & X.H.Bao, H. (2015). Strategic planning framework for land consolidation in China: A top-level design based on SWOT analysis. Habitat International, 46-54.
Yunna, W., & Yisheng, Y. (2014). The competition situation analysis of shale gas industry in China: Applying Porter’s five forces and scenario model. Renewable and Sustainable Energy Reviews, 798-805.
Zalengera, C., E.Blanchard, R., & C.Eames, P. (2014). Overview of the Malawi energy situation and A PESTLE analysis for sustainable development of renewable energy. Renewable and Sustainable Energy Reviews, 335-347.
Zhao, Z. Y., Zuo, J., & Wu, P. H. (2016). Competitiveness assessment of the biomass power generation industry in China: A five forces model study. Renewable Energy, 144-153.
Related Article
- PESTEL Analysis of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture
- Hofstede Cultural Model of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture
- Net Present Value (NPV) Analysis of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture
- Marketing Mix (4Ps) Analysis of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture
- Corporate Social Responsibility of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture
- Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture Discounted Cash Flow (DCF) Analysis
- VRIO Analysis of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture
- Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture Case Solution
- Blue Ocean Strategy of Analyze Big Data Using SAS An Interactive Goal Oriented Approach The Complete Lecture
Latest Feedback
Harrison Finley
Verified
Never face the issue in regard to the originality of the assignment. So glad to get papers from them. Recommended!
Ai Shan
Verified
Good customer service and the great writer. The paper was on time and I'm grateful for it. Thanks!
Alsama Mohammad
Verified
It was my last year in college and I totally need help for the coursework. This firm delivered the project step by step.
Vivian Miller
Verified
Awesome Job! I received an above average on this assignment. I was ecstatic. Thanks. Will be using again, when needed.
Kevin Lucas
Verified
It was really awesome when I received the assignment on time. Affordable prices and many discounts. Thanks!
Lyla Mason
Verified
The writer formulated a brilliant term paper in the shortest time. It's the top custom writing service!
Calculate the Price of Your Order
Next Article
- Is Your Business Ready for a Digital Future? Marketing Strategy
- SAP 2014: Reaching for the Cloud Marketing Strategy
- Apollo Hospitals: Differentiation through Hospitality Marketing Strategy
- Managing with Analytics at Procter & Gamble Marketing Strategy
- San Francisco International Airport and Quantum Secure's SAFE for Aviation System Marketing Strategy
- Intel Corp. - Bring Your Own Device Marketing Strategy
- Modeling Discrete Choice: Categorical Dependent Variables, Logistic Regression, and Maximum Likelihood Estimation Marketing Strategy
- Bucking the Trend: A Look at Zyme Solutions' Non-linear Business Model for IT Services from India Marketing Strategy
- X Fire Paintball & Airsoft: is Amazon a Friend or Foe? (A) Marketing Strategy
- The Looming Shadow of Illicit Trade on the Internet Marketing Strategy
Previuos Article
- Making the Case Marketing Strategy
- Joe Smith's Closing Analysis (B) Marketing Strategy
- Joe Smith's Closing Analysis (A), Spanish Version Marketing Strategy
- GMAC: The Pipeline Marketing Strategy
- On Writing Teaching Notes Well Marketing Strategy
- Exxon Corp.: Trouble at Valdez Marketing Strategy
- Ashland Oil, Inc.: Trouble at Floreffe (A) Marketing Strategy
- Ashland Oil, Inc.: Trouble at Floreffe (B) Marketing Strategy
- Ashland Oil, Inc.: Trouble at Floreffe (C) Marketing Strategy
- Ashland Oil, Inc.: Trouble at Floreffe (D) Marketing Strategy
Be a great writer or hire a greater one!
Academic writing has no room for errors and mistakes. If you have BIG dreams to score BIG, think out of the box and hire EssayPandas with BIG enough reputation.
Our Guarantees
- Quality assured
- Proof of no plagiarism
- Qualified writers
- Data security
- 24/7 support
- On time delivery
Interesting Fact
Most recent surveys suggest that around 76 % students try professional academic writing services at least once in their lifetime!
Order Now