MSc Management Data Analytics
MSc Management Data Analytics
Introduction
Digital transformation refers to the use of digital technology and tools for enhancing business processes efficiency to meet the dynamic needs of the market and business (Butt, 2020). The current report focuses on providing a digital transformation report in the context of Adidas through the role of a Chief Information Officer for the organization. The report further addresses the changes organizations can implement to achieve a competitive advantage. In this regard, the report will cover the aspects impacted by the digital transformation process and its applicability through a digital business model. Moreover, the report will also identify leadership styles that the organization must adopt to meet the goals of this transformation.
TASK 1
Organization Overview:
Adidas is a German global manufacturer of sports and footwear. It was founded in 1949 and currently operates in more than 160 countries. It is one of the most renowned brands for sports and athletic wear. Moreover, it comprises various retail stores worldwide and has both online and offline presence. The organization is concerned with providing athletic footwear and accessories to carry out design, production, and marketing processes. The firm also maintains its visibility by sponsoring sports events and teams globally. Adidas deals in a highly complex environment and faces cut-throat competition and rivalry from global players such as Nike, Puma and other sports brands; therefore, the firm focuses on continuously adapting towards the changing market and consumer needs through Technology upgrades. Moreover, the organization is also committed to working on sustainability concerns; therefore, the current need to transfer digitally has become the central core requirement to maintain the efficiency of its operations and global sustainability.
Areas impacted by digital disruptions:
As technology has provided a way to facilitate E-Commerce and a direct-to-consumer model, Global organizations have been impacted to shift their selling culture towards online platforms. This requires Technology support to set up a robust online for enhancing consumer experience and engagement to provide convenience, access, and availability (Rosário and Raimundo, 2021). This poses the need for Adidas to streamline its operations. This becomes a key challenge for Adidas as the organization looks forward to a Digital shift.
Moreover, as technology constantly evolves, the Data Analytics process involves the collection of large amounts of data to detect consumer preferences and behaviors (Ren et. al. 2019). This can further help organizations such as Adidas to enhance consumer experience and engagement and make informed decisions through data collection methods. This further helps Adidas to customize and tailor their marketing strategies for dealing with challenges and exploring opportunities. This also helps in the digitalization of the supply chain effectively.
Furthermore, technology has supported the presence of augmented reality and virtual fitting rooms, which have also changed the shopping experience (Bonetti et. al. 2018). This has brought a shift from traditional to modern shopping, where use of technology can further enhance consumer engagement and provide customers with a service to try the products before making a purchase decision. This also accelerates the experience and mechanism. To ensure that the organization can successfully transform investment in supply chain digitalization, market and consumer engagement and product innovation are a few areas that are deeply impacted.
Objectives for five years for a Digital Adidas:
- Enhanced consumer experience.
- Digitalized supply chain.
- Leverage technology and innovation.
- Foster a culture of innovation, agility and flexibility.
Solutions to offset the change and achieve the digital objectives:
- Adidas must focus on investing in digital technology and using AI, which can help to provide meaningful information to the firm for ensuring that the product development matches the current trends and consumer requirements; moreover, these can further help to customize its marketing and operational strategies
- Moreover, through technology, the organization can further enhance consumer engagement by leveraging artificial intelligence, predictive modelling and chat boxes to enhance their direct interactions with the consumers and provide real-time assistance (Patel and Trivedi, 2020). this not only improves the customer experience but also leads to positive customer satisfaction
- Adidas, being a global organization, must also focus on providing sustainability solutions while meeting the growing demand for the products, for this organization can align technology with eco-friendly products to address environmental concerns and meet the dynamic needs of consumers and the market at large. Furthermore, adopting sustainable practices can help develop a better brand image and reputation. Innovation and continuous improvement can further help accelerate the digital transformation processes and attain digital excellence while providing agility and flexibility.
TASK 2
Digital Agility Business model
By utilising the business agility model, Adidas can respond towards market changes by developing adaptive strategies, leveraging technology, and enhancing data-driven decision-making (Girod and Králik, 2021). The model will promote flexibility, foster collaboration and provide rapid adaptation towards emerging market trends for organizations. The model comprises three components, which are mentioned below:
Application of business agility model for Adidas:
| Hyperawareness:
The organization can cultivate hyper-awareness by scanning the business environment and identifying emerging threats and opportunities. The digitalization of supply chain monitoring can help the firm integrate technology to gather real-time data insights (Udovita, 2020). Through artificial intelligence, market variations can be detected more efficiently, and the organization can gain a competitive edge by making real-time informed decisions and anticipating market changes quickly. This will allow the firm to adjust to changing market demand and consumer preferences. |
Informed decision making:
Through informed decision-making, organizations can optimize their processes by adopting digital trends. Using data analytics and predictive analytics further helps to enhance the organisation’s performance by assessing risk, enhancing performance and resource optimization mechanisms within its supply chain (de Vass et. al. 2021). The use of machine learning can further help to interpret future trends and foster proactive decision-making. Through this, Adidas can improve its operational efficiency and get its strategic direction towards making informed decisions to adapt towards market changes rapidly. |
Fast execution:
For a Swift execution of decisions, Adidas must foster an environment where learning constantly and taking risks are encouraged using IoT platforms and technology, which can further help to connect systems and provide data-driven insights for adopting smart manufacturing techniques, which further optimize supply chain processes. Moreover, remote monitoring and predictive maintenance can help to customize and innovate efficiently (Roy et. al. 2022) while ensuring resource optimization by gathering data on-demand inventory management, logistics and risk assessment. |
Adidas can use these tools for monitoring market variations and integrate digitalization such as automation, IoT, and data Analytics to make data-driven informed decisions. The company can identify risk in advance through predictive analysis and forecast future trends to further guide the decision-making. Leveraging the current technology can help to track the current and emerging trends and provide real-time visibility for the firm, which can help to streamline the operations and supply chain more effectively and help them respond to disruptions more quickly. This model can further benefit Adidas for:
Demand management:
Adidas can use data analytics to analyze the data sets to predict consumer behaviour, identify market sentiments and forecast demand (Rathore, 2017). The advanced AI tools can, in this regard, help in predictive modelling by identifying current and emerging trends and forecasting market shifts. The firms can predict consumer behaviour and forecast demand to detect consumer buying patterns based on machine learning algorithms. This technology can further help to understand the market dynamics to facilitate better decision-making.
System integration:
Adidas can also incorporate IoT sensors and devices for streamlining its supply Chain and retail spaces through real-time data on inventory management, product demand, and customer footfall. This data can provide the organization with demand fluctuations and changing market conditions. By applying the business ability model, Adidas can become more responsive to changing market conditions and adopt a decentralized decision-making approach. This will help digitally transfer the organization quickly and make effective and efficient decisions at various operation levels.
For this, organizations can implement data-driven decision support systems for processing Complex data sets and offer real-time data insights for making rapid decisions. Moreover, cloud-based collaboration can further enhance decision-making ability; integrating automated workflows can help streamline processes more effectively and to improve efficiency for routine decisions, providing time for strategic decisions.
Process integration:
To implement a business agility model across all operations, Adidas must adopt agility principles that encourage cross-function collaboration and quick adaptation (Girod and Králik, 2021). Moreover, the company can focus on empowering a decentralized structure for teams to respond quickly without bureaucratic delays. It must also focus on implementing digital technology, such as automation and cloud-based, to create a culture of innovation and experimentation that can help to respond swiftly towards dynamic market changes and constant improvement in such processes.
In this essence, by applying the principles of digital and business agility, the organization can integrate technology and a culture of innovation and innovation to continue its digital transformation journey.
TASK 3
Digital Ready Culture
Creating a digitally ready culture for Adidas will require applying various strategies such as:
Technology advancement:
Investing in technology such as Artificial intelligence, machine learning, automation processes, and data Analytics can further help the firm streamline the processes, leading to high customer experience and operation optimization (Tariq et. al. 2021). Implementing cutting-edge digital tools and technology can enhance the efficiency of operations inc. increase productivity, and attain cost-effectiveness.
Making the culture digital and innovative:
Moreover, Adidas must focus on fostering innovation and cultivating creativity in its organizational culture to provide employees with the required freedom to experiment and take risks with innovative ideas and help them establish a platform to further support and implement this ideally. In this regard, Adidas can hold internal hackathons and create innovation challenges within the organization’s departments to solve digital problems or generate innovative solutions. This will further encourage cross-functional teamwork and enhance creativity.
The firm can also create a digital learning platform for its employees to provide information on digital marketing analytics, gamification elements and other emerging technologies through courses, seminars, workshops, and other materials and resources (Dahalan et. al. 2023). Adidas can also establish internal incubators or labs to provide employees with the right equipment to test the prototypes and work on digital projects in a sandbox environment. Moreover, pairing employees with mentors to guide and support to navigate digital transformation efforts within the organization can further provide employees with the right mentorship and help them achieve expertise in digital technology.
Furthermore, just providing the platform to support idea generation cannot be adequate; therefore, organizations must provide training and upskilling programs for the employees to acquire the necessary digital skills. This will ensure employees possess digital literacy data analysis techniques and successfully understand emerging technology.
Drive agility and innovation:
Moreover, Adidas must also focus on fostering an agile work environment that is able to provide employees with quick decision-making techniques and enhances their adaptability and flexibility. This will not only allow for quicker decision-making but also will lead to the generation of results that align with market changes and customer needs. The firm can create open innovation platforms to share its digital ideas and collaborate with others across the organization to stimulate a culture of innovation (Abbate et. al. 2019). In this regard, organizations must also focus on establishing and creating funds for experimenting and prototyping digital ideas. This way, the employees can test their concepts without facing financial limitations.
Consumer centricity:
Adidas also focus on creating a customer-centric approach to understanding customer behaviour more precisely. With the help of data Analytics tools, which can further provide insight into customer preferences, buying habits, and patterns, it can help personalize the products in the consumer experience. The firm can also develop partnerships and collaborations with tech-oriented companies and innovators to enhance the digital transformation process. This can bring fresh perspectives to the table with availability and easy access to new technology and innovative solutions.
Support through leadership:
The most crucial focus that an organization must emphasize is its leadership quality, which must support digital transformation (Nadkarni and Prügl, 2021). The organization’s leader must emphasize the significance of this transformation and encourage other individuals’ mindset to positively increase digital change and support innovations at all levels of the organization.
Monitoring to control:
For creating and embracing a digital-ready culture, organizations should consider making a feedback loop that supports constant improvement and monitoring, controlling the activities and the changes as and when required. This will also establish an information mechanism through which insights and suggestions can be welcomed for improving the digital process and product.
Integrating the strategies mentioned above into the operations and culture of the organization, Adidas can successfully transform its organization digitally and build a workforce that is agile, flexible and up-skilled with digital tools and technology innovation, creativity, and sustainability.
TASK 4
Fostering Collaboration
For fostering collaboration among the various departments of Adidas, such as marketing, operations, ICT or others, the report identified two digital leadership styles that can impact the collaborations positively.
Collaborative leadership style:
This leader adopting this style prioritizes teamwork, collecting decision-making, and believing in shared goals. Leaders applying this style achieve collaborations by building strong relationships across departments through the policy of open communication and transparency (Alblooshi et. al. 2021). This helps to leverage the various perspectives of employees to foster innovation and creativity, building trust. This aligns with the current requirement of Adidas to integrate efforts of all the departments for enabling digital transformation. This would help the organization facilitate cross-departmental meetings where various departments’ operations can collaborate on digital activities and events. This will provide a culture where employees can be encouraged to problem-solve and create innovative ideas. The leaders can help empower the team members to develop strategies that ensure alignment with the company’s digital goals and current efforts.
Servant leadership style:
The second type of leadership style that an organization can adopt is servant leadership, which revolves around identifying the needs of the employees and enabling them to perform their best (Blanchard and Broadwell, 2021). Leaders using this style can focus on the individual growth and development of the team members by creating a collaborative approach and supportive environment that enhances teamwork. Applying servant leadership to Adidas can help the firm understand and identify the needs of each department and team member, which can further help to assure that each team member and department is offered the required resources, support, training, and guidance to embrace digital tools and technology. By fostering a positive and supported work culture, employees can feel motivated leading to collaborations and to a more cohesive work environment and digital transformation.
For best results, the organization can adopt a combination of the mentioned leadership approaches to facilitate joint initiatives by encouraging different perspectives for achieving collective and informed decision-making while driving individual and department growth. The leaders can help employees stay positive during the transformation journey and embrace change more positively to achieve collaborations at all levels of the organization. By adopting this leadership style, the organization drives innovation and creativity and integrates the skills of all employees to create success in the digital landscape.
Conclusion
To conclude, after analyzing the current areas of digital disruption and opportunities for the organization, it is evident that Adidas needs digital transformation to shift its supply chain into a digitalized one. The digital transformation objective further provides room for using the latest technology, such as artificial intelligence, predictive analysis, and IoT platforms. Using these innovative approaches, organizations can enhance consumer experience, provide customized solutions and use cross-function agile teams and IoT-based software, which can further enhance technology integration into the system and equip employees for enhancing digital readiness. Moreover, the leadership role will further facilitate the support and motivation of Adidas for its effective implementation of digital transformation.
References
Alblooshi, M., Shamsuzzaman, M. and Haridy, S., (2021). The relationship between leadership styles and innovationonal innovation: A systematic. Sage.
Blanchard, K. and Broadwell, R., (2021). Servant leadership in action: How you can achieve great relationships and results. Berrett-Koehler Publishers, Inc..
Bonetti, F., Warnaby, G. and Quinn, L., (2018). Augmented and virtual reality in physical and online retailing: A review, synthesis and research agenda. Augmented reality and virtual reality: Empowering human, place and business, pp.119-132.
Butt, J., (2020). A conceptual framework to support digital transformation in manufacturing using an integrated business process management approach. Designs, 4(3), p.17.
Carnes., (2020). [Online]. Accessed through :< https://www.linkedin.com/pulse/collaborative-leadership-none-us-smart-all-ray-carnes > Accessed on 18th November 2023.
Dahalan, F., Alias, N. and Shaharom, M.S.N., (2023). Gamification and game based learning for vocational education and training: A systematic literature review. Education and Information Technologies, pp.1-39.
de Vass, T., Shee, H. and Miah, S.J., (2021). IoT in supply chain management: Opportunities and challenges for businesses in early industry 4.0 context. Operations and Supply Chain Management: An International Journal, 14(2), pp.148-161
Girod, S.J. and Králik, M., (2021). Resetting management: Thrive with agility in the age of uncertainty. Kogan Page Publishers.
Kumar., S., (2017). Digital Business Agility – A Road Map. [Online]. Accessed through :< https://www.linkedin.com/pulse/digital-business-agility-road-map-sanjay-kumar-2 > Accessed on 18th November 2023.
Nadkarni, S. and Prügl, R., (2021). Digital transformation: a review, synthesis and opportunities for future research. Management Review Quarterly, 71, pp.233-341.
Patel, N. and Trivedi, S., (2020). Leveraging Predictive Modeling, Machine Learning Personalization, NLP Customer Support, and AI Chatbots to Increase Customer Loyalty. Empirical Quests for Management Essences, 3(3), pp.1-24.
Rathore, B., (2017). Exploring the Intersection of Fashion Marketing in the Metaverse: Leveraging Artificial Intelligence for Consumer Engagement and Brand Innovation. International Journal of New Media Studies: International Peer Reviewed Scholarly Indexed Journal, 4(2), pp.51-60.
Ren, S., Zhang, Y., Liu, Y., Sakao, T., Huisingh, D. and Almeida, C.M., (2019). A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions. Journal of cleaner production, 210, pp.1343-1365.
Rosário, A. and Raimundo, R., (2021). Consumer marketing strategy and E-commerce in the last decade: a literature review. Journal of theoretical and applied electronic commerce research, 16(7), pp.3003-3024.
Roy, D., Srivastava, R., Jat, M. and Karaca, M.S., (2022). A complete overview of analytics techniques: descriptive, predictive, and prescriptive. Decision intelligence analytics and the implementation of strategic business management, pp.15-30.
Tariq, M.U., Poulin, M. and Abonamah, A.A., (2021). Achieving operational excellence through artificial intelligence: Driving forces and barriers. Frontiers in Psychology, 12, p.686624.
Udovita, P.V.M.V.D., (2020). Conceptual review on dimensions of digital transformation in the modern era. International Journal of Scientific and Research Publications, 10(2), pp.520-529.
Walakme.com, (2023). [Online]. Accessed through :< https://change.walkme.com/servant-leadership/ > Accessed on 18th November 2023.
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