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Islam Salahuddin is a data analyst with a strong focus on storytelling and data visualization, growing statistical knowledge, and developing a set of technical skills and tools. As an expert in data analysis at The KPI Institute, Islam leads the generation of research on the domain of data analytics and the development of business analytics toolkits.
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Democratizing strategy planning refers to the process of involving various stakeholders of all organizational levels in the strategy formulation process. In the traditional approach, strategy planning is a top-down process formulated by selected stakeholders like the senior management and key decision makers. So, to make the process more inclusive and participatory, democratizing strategy planning comes into account.
One of the main advantages of democratizing strategy planning is that it increases employee engagement. Thomas, K. W. (2009) discussed in his paper “Intrinsic Motivation at Work: What drives employee engagement” that when employees feel that their voice is heard within the organization, they are more likely to feel connected and invested in the organizational success, which increases their motivation, commitment, and job satisfaction, and that means a lot for them as they feel more valued in the organization.
Another advantage of democratizing strategy planning is that it enhances ownership and accountability, which will be reflected in improved employee engagement, as employees who participate in the strategy planning feel a stronger sense of ownership and responsibility, which leads to extra accountability and willingness to go the extra mile in achieving the organizational objectives as per the psychological ownership theory, which emphasizes on the role of psychological ownership in influencing employee attitude and behavior which lead them to be more engaged, motivated and committed to their organization.
To implement democratized strategy planning, having and securing the leadership buy-in is crucial to its success, so it is necessary to present the benefits and potential of increasing employee engagement and fostering innovation in the organization.
After getting leadership buy-in, we need to define a clear scope of where employee inputs would be more valuable, which is recommended to be initiative-specific in the beginning to avoid any potential analysis paralysis. In addition, it is vital to develop a precise feedback mechanism to capture different stakeholders’ diverse perspectives and ideas and recognize and reward participation.
This process will take time to be implemented correctly without any issues, so it is essential to mention that continuous improvement is critical to reach a practical approach. A great starting point is attending the Certified Strategy and Business Planning Professional course by The KPI Institute. Learn more about it and secure your slot here.
Jino Noel is a data science and technology leader with extensive experience in building data teams and practices across different organizations. His experience ranges from working in startups to large conglomerates across both Australia and the Philippines. At the time of this interview, he was the Chief Data Officer at Data Analytics Ventures, Inc. (DAVI). Currently, he is the Chief Data Officer at Angkas.
What are the key skills that a Chief Data Officer should possess nowadays?
A Chief Data Officer should have both data-related technical expertise as well as people leadership skills. Leading will always be part of the job, particularly for highly specialized technical people such as data engineers and data scientists. To be able to lead them properly, I believe it is better to be a technical person myself, so I can discuss technical matters fluently, which helps me gain their trust.
What data-related challenges have you faced as the Chief Data Officer of DAVI? How did you overcome these challenges?
Our data-related challenges are the same as any company. Being able to trust our data, cleaning up data from our sources, data latencies, and other related issues. DAVI overcame these by investing in people—hiring high-quality experts in our data engineering, data governance, and analytics teams to help us make sense of the data coming in—and building robust data pipelines that have increased the standard of quality of the data in our data lake.
How does DAVI make use of advancements in artificial intelligence (AI) and machine learning to help its clients understand their customers’ needs and buying patterns?
DAVI has recently started using machine learning to model our users’ propensity to buy certain products. This helps us create more accurate target audiences for our precision marketing campaigns. We are also moving forward with a recommendation engine project, with the goal of improving user engagement with our retail partners and with our promos and campaigns. On top of this, we are improving our machine learning operations expertise to make our model deployments repeatable and robust.
In the digital marketplace, data analytics acts as a guiding compass for app developers, enabling the creation of personalized, high-performing applications that align with user preferences. By leveraging data, developers can understand nuanced user behaviors and preferences, allowing them to tailor apps to meet specific user needs and aspirations.
Dive deeper into these discussions by reading Jino Noel’s full interview with The KPI Institute. Download the free digital copy of PERFORMANCE Magazine Issue No. 26, 2023 – Data Analytics on the TKI Marketplace. You can also purchase a physical copy via Amazon.
Alfonso Medela is the Chief Artificial Intelligence (AI) Officer at Legit.Health, where he oversees the use of advanced computer vision algorithms. A renowned expert in few-shot learning and medical imaging, his contributions include developing an algorithm capable of diagnosing over 232 skin conditions.
What are the key skills that a Chief AI Officer should possess in the context of your role at Legit.Health?
A Chief AI Officer at a medical organization like Legit.Health needs strong AI expertise, including extensive knowledge of machine and deep learning, and a profound understanding of medical data and healthcare to ensure precise algorithm development. Besides technical skills, strategic thinking and leadership are vital for guiding the AI team and aligning with company goals. Great communication and collaboration skills are also crucial for working effectively with different teams.
Can you describe your experience in developing and implementing AI strategies for computer vision applications, specifically in the context of diagnosing and treating skin pathologies? How have you leveraged AI to improve diagnosis accuracy and enable life-saving therapies?
Heading a team of specialists, we’ve developed advanced algorithms that accurately identify over 232 skin conditions and automate follow-ups for chronic skin conditions. Using deep learning techniques, our platform provides real-time diagnostic support to healthcare professionals, improving their accuracy and enabling early intervention. By collaborating with medical experts and continuously refining our algorithms, we are able to offer a powerful tool that empowers clinicians, transforming healthcare and improving patient outcomes.
What approaches or methodologies do you use to ensure the accuracy and reliability of computer vision algorithms in the context of skin pathology diagnosis? Can you share examples of how you have validated the performance of AI models and ensured their safety and effectiveness in real-world clinical settings?
To guarantee accuracy and reliability, our computer vision algorithms undergo a multi-stage validation process that encompasses retrospective and prospective clinical validations. Rigorous testing is performed on diverse, representative datasets, employing cross-validation to assess model performance. We collaborate closely with medical professionals, reviewing AI model outputs and gathering feedback to iteratively refine our algorithms. Furthermore, we conduct clinical trials and pilot studies to evaluate safety and efficacy. This ensures that our models adhere to real-world requirements and actively contribute to enhancing patient outcomes.
AI stands as one of the most transformative technologies of the modern era, revolutionizing the way people approach complex problems across various fields. From enhancing healthcare diagnostics to driving advancements in autonomous vehicles, AI’s potential is vast and continually expanding.
To explore the full spectrum of Alfonso Medela’s pioneering work in AI and to stay updated with the latest industry insights, read his full interview exclusively featured in the PERFORMANCE Magazine Issue No 26, 2023 – Data Analytics edition. Download your free copy now through the TKI Marketplace or purchase a printed copy from Amazon.
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In the world of strategic planning, the guiding light of SWOT analysis looms overhead, illuminating the path of organizations as they strive toward success. SWOT is an abbreviation of Strengths, Weaknesses, Opportunities, and Threats; it is an effective framework that empowers businesses to navigate the complexities of decision-making. It offers a structured lens through which organizations can examine their internal resilience, vulnerabilities, external openings, and looming challenges. This comprehensive analysis serves as the cornerstone for strategic planning, innovative thinking, resource allocation, and adaptive strategies.
At its heart, SWOT analysis is a well-organized exploration of what an organization does well and where it could improve (those are the internal bits), as well as the changes and challenges it faces from the outside world (that’s the external stuff). Think of it as seeing the bigger picture of where an organization is right now and where it might be headed in the future. It is more than just a tool; it’s a trusty compass that helps steer the ship through the twists and turns of business strategy.
A SWOT analysis can be broken down into four key parts, each offering a unique perspective on the organization:
Strengths are the internal factors where the organization shines and stands out from its competitors. They could be things like having a strong brand, a loyal customer base, solid financials, cutting-edge technology, or highly skilled employees.
Weaknesses point to areas where the organization needs to improve to stay competitive. These might include having a weaker brand, high employee turnover, too much debt, inefficient processes, or outdated technology.
Opportunities are external factors that could give the organization an edge. These opportunities can arise from changes in market trends, shifts in demographics, evolving consumer preferences, or new regulations.
Threats are external factors that pose risks to the organization. These may include things like increased competition, rising material costs, economic downturns, shifts in consumer behaviour, or disruptions in the supply chain.
To present a SWOT analysis effectively, analysts often use a four-quadrant table, with each quadrant dedicated to one of the four components. Internal factors, strengths, and weaknesses are usually listed in the top row, while external factors, opportunities, and threats are placed in the bottom row. Strengths and opportunities, which are positive aspects, are positioned on the left side of the table, while weaknesses and threats, which are concerning elements, are placed on the right side.
A SWOT analysis is not merely an academic exercise—it’s a practical tool for strategic planning. Here’s a step-by-step guide to conducting a SWOT analysis effectively:
It’s crucial to have a clear focus, whether it’s evaluating a new product rollout, assessing a division’s performance, or guiding overall business strategy. Your objective will serve as a guiding star throughout the process.
Identify the resources and data you’ll need to conduct a thorough analysis. This includes both internal data, such as financial reports and employee feedback, and external data, like market research and industry trends.
With your team in place, initiate a brainstorming session for each of the four SWOT components. Encourage participants to contribute ideas and insights, even if they seem unconventional. Internal factors should be explored for strengths and weaknesses, while external factors should be assessed for opportunities and threats.
After the brainstorming session, you will likely have many ideas within each category. The next step is to filter and prioritize these findings. Engage in discussions and debates to determine the most critical strengths, weaknesses, opportunities, and threats facing the organization.
Armed with a prioritized list of SWOT elements, it’s time to convert the analysis into a strategic plan. Your analysis team will produce the findings and provide guidance on the original objective. For example, if the analysis was conducted to assess cybersecurity issues like outdated systems, the strategic plan may recommend investing in better tech and checking security regularly or partnering with cybersecurity experts for assistance.
To show how useful SWOT analysis is in real life, let’s look at two real-world examples:
Tesla, Inc. effectively employs SWOT analysis in navigating the electric vehicle (EV) sector. Their strengths encompass innovative technology, a robust brand, and global reach, and their challenges include production issues and elevated costs. They find opportunities in the promising EV market and expansion into the energy sector while facing threats from intense competition and evolving regulations. Tesla’s strategic approach, influenced by this analysis, emphasizes innovation, global expansion, diversification into energy solutions, managing competition, and compliance with regulations.
Amazon, the global e-commerce giant, exemplifies how SWOT analysis shapes strategic choices. Its strengths encompass e-commerce dominance and a culture of innovation. Challenges include slim profit margins and counterfeit products. Opportunities are found in expanding markets and global reach, while threats come from intense competition and evolving regulations. Amazon’s strategy revolves around customer-centric innovation, diversification, global expansion, marketplace integrity, competition management, and regulatory compliance. This SWOT-influenced approach ensures that Amazon maintains its leadership, fosters innovation, and adapts to changing market dynamics by leveraging strengths, addressing weaknesses, seizing opportunities, and mitigating threats.
Just like how we use different tools for different tasks, the SWOT analysis isn’t our only option. It’s more like a trusty friend that works alongside other friends in your planning adventure. Through SWOT analysis, you can make smarter decisions, be more creative, and adapt to changes in the world—as you would with good friends by your side.
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This article is written by Chadia Abou Ghazale, a seasoned banking professional with 24 years of experience and who excels in budgeting, sales performance management, data analysis, and resource planning. Beyond banking, she is a dedicated reader of self-development topics and passionate networker. Chadia believes that life’s purpose is the pursuit of knowledge. Her extensive expertise and unwavering enthusiasm are a dynamic combination, driving success in her career and enriching her life’s adventurous journey.
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