How can you customize critical thinking frameworks for your organization?

First Identify the specific goals, challenges, and characteristics. then select a well-established critical thinking framework as your starting point. Examples include SWOT analysis, Six Thinking Hats, or the RED model (Recognize assumptions, Evaluate arguments, Draw conclusions). Establish a feedback loop to continuously improve and refine the customized framework. Monitor outcomes and adjust the framework as needed.

Na minha opini?o, entender os objetivos é o primeiro passo crucial. é como definir um destino antes de iniciar uma viagem. Na prática, isso significa alinhar as análises de BI com as metas da empresa.

Start by aligning critical thinking frameworks with the specific goals and objectives of your organization. Clearly define what critical thinking means in your context and how it contributes to achieving overarching business goals. Tailor the frameworks to address the unique challenges and requirements of your organization.

Customizing critical thinking frameworks for your organization involves adapting established frameworks to align with your organization's unique goals, culture, and challenges. Here are steps to customize critical thinking frameworks effectively: Understand Organizational Context: Assess Current Practices: Identify Key Stakeholders: Select Appropriate Frameworks: Tailor Frameworks to Specific Needs: Integrate with Organizational Processes: Provide Training and Development: Promote a Culture of Inquiry and Learning: Establish Clear Expectations and Accountability: Iterate and Adapt Over Time:

To start, take a deep dive into your organization's mission, vision, and strategic objectives. This understanding will guide you in aligning the critical thinking framework with the broader direction of your organization. Next, assess the current landscape by evaluating existing critical thinking practices within your organization. This analysis will help you identify areas of strength and opportunities for improvement. Once you have a clear picture, define the key competencies that matter most to your organization. This could include problem-solving, decision-making, and creative thinking skills. And build your customized framework that shows the linkages and causalities.

Aqui, na minha vis?o, avaliar os dados é como peneirar ouro. é essencial entender a qualidade, relevancia e integridade dos dados disponíveis.

Evaluate the types of data your organization deals with and the specific challenges associated with it. Understand the nuances of the data sources, formats, and quality. This assessment provides insights into the critical thinking skills required to analyze, interpret, and make informed decisions based on the organization's data landscape.

Data is seldom complete, BI teams must evaluate the eco system of platforms that generate information. Consider manual (written) data points that may require data entry, whether by manual entry or using OCR automation to complete your dataset. The correct data transformation rules need to be applied to prepare the data for ingestion and analysis.

En las organizaciones de más de 20 a?os de existencia es muy difícil la adopción de un departamento de BI, claramente depende de si tu producto o estrategia va de la mano con análisis de datos. El obtener datos de costará un poco de dinero, pero analizar y depurar los datos de calidad para la toma de decisiones de costará una inversión cuantiosa que bien documentada te trae un mayor margen de utilidad o ROI. Si el producto o servicios hacen sentido tener datos para generación de estrategia, lo mejor es armar un equipo de BI.

Assessing your data is essential when customizing critical thinking frameworks for your organization. Evaluate the quality, relevance, and accessibility of available data sources to ensure they support informed decision-making. Identify any gaps or inconsistencies in the data that may hinder critical analysis. By understanding the strengths and limitations of your data, you can develop frameworks that leverage reliable information and address any deficiencies to enhance the effectiveness of your organization's critical thinking processes.

Identify and integrate critical thinking tools that align with your organization's needs. This could involve selecting analytical software, visualization tools, or decision-making frameworks that enhance critical thinking capabilities. Ensure that these tools are compatible with the nature of your data and support the analytical processes relevant to your goals.

Choosing the right tools is paramount when customizing critical thinking frameworks for your organization. Select tools that align with your organization's goals, data infrastructure, and team's expertise. Consider whether you need data visualization software, statistical analysis tools, or decision support systems. Evaluate the usability, scalability, and integration capabilities of each tool to ensure they meet your organization's specific requirements. By carefully selecting tools, you can empower your team to apply critical thinking effectively and derive actionable insights from data.

Enfatiza a importancia de selecionar as ferramentas e técnicas adequadas para análise de dados. é crucial considerar o tipo de dados disponíveis e o tipo de análise necessária para escolher as melhores ferramentas e software. Além disso, é essencial pensar em como visualizar, comunicar e apresentar os dados e insights de maneira eficaz. Ao escolher as ferramentas certas, é possível otimizar o processamento, interpreta??o e gera??o de relatórios de dados, facilitando a tomada de decis?es informadas e a comunica??o efetiva dos resultados.

In my experience select a few tools and standardize them across the firm. Another approach is look at data horizontally. Financial analysis will show lost customers data, then analyze the interaction metrics across channel’s to find a correlation. This is hard work and you will build reporting across ERP system and customer interaction data collection points. Financial analysis will show lost customers data, then analyze the workforce management metrics to find a correlation. This is also hard work and you will build reporting across ERP system and systems that support average handle time for each interaction. You may find loopholes to improve a process.

Once you understand your data, your strategic objectives and most importantly, your target audience (users) you must select the right tools to analyse and present your insights. There is no single tool that works across all organizations. Consider the executives and ensure that the data will be composed in formats that will be widely understood.

A aplica??o de lógica, na minha perspectiva, é o cora??o do pensamento crítico em BI. Isso envolve interpretar dados, fazer conex?es e tirar conclus?es. Por exemplo, se os dados mostram um pico de vendas em certos períodos, busque entender o porquê. Pode ser uma promo??o eficaz ou uma tendência sazonal.

Destaca a importancia de aplicar lógica e raciocínio aos dados e insights obtidos. é fundamental testar suposi??es, hipóteses e conclus?es, bem como evitar vieses, falácias e erros de raciocínio. A valida??o, verifica??o e apoio das alega??es com evidências s?o essenciais para aumentar a credibilidade, precis?o e clareza das análises. Além disso, desafiar, criticar e melhorar os argumentos contribui para aprimorar a qualidade das conclus?es e tomadas de decis?o. Ao aplicar uma abordagem lógica, é possível garantir uma análise robusta e confiável dos dados, promovendo uma maior confian?a nos resultados.

A good analytics team lead sponsored by business will succeed. Don’t expect IT developers to do this alone. We need functional experts to make sure that the logic and analysis is correct. This evidence should point to some actionable items or parked as observations.

There are numerous established critical thinking frameworks that could be ported from other spaces. Some of them are classics like, for example Socratic questioning methods. Some others are more contemporary, for example, the process used by design thinkers to explore the problem and refine and critique solutions. Do not get stuck Into only one way you’re thinking about critical thinking.

Tener los datos compilados y presentables para analizar es solo el principio del análisis de los marcos de pensamiento crítico. Si conoces el mercado y puedes probar tus hipótesis, la mejor manera es documentar todo el proceso para analizar el éxito o el fracaso del mismo. "Una Sucesión de errores crean experiencia". Se debe crear la experiencia basada en datos.

Contexto é tudo. Em minha experiência, sem entender o contexto, os dados podem ser mal interpretados. Isso significa compreender o ambiente de mercado, a cultura organizacional e as tendências econ?micas. Por exemplo, um aumento nas vendas pode ser impressionante, mas se o mercado cresceu ainda mais rápido, na verdade pode indicar uma perda de participa??o no mercado. Pegou a dica?

Para tomar las decisiones basadas en datos y experiencia, debes igualmente tener contexto de tu entorno. Recordemos que el entorno o el mercado es el campo de juego en el que estamos implementando nuestras estrategias; un estratega experimentado utiliza todas sus herramientas para crear la mejor manera de ganar. El contexto tanto del mercado como de los datos que tienes es la manera de cerrar todas las aristas de tu propuesta.

Logic where magic ends... Absolutely do you know why logic matters most Here is a detailed explanation I got an idea which was super fantastic I shared it with my friends they said it was amazing I started believing it so much without any hesitations But i forget to look logic behind it Let's say for example The idea was super But when it comes to execution we are facing a lot of troubles due to the lack of a simple logic that idea couldn't convert to app cause lot of policies and regulations So, make sure your logic make sense before you moving not only in the work you do But, also decisions you take!

Por fim, sempre há mais a considerar. Na minha vis?o, isso inclui manter uma mentalidade aberta para novos dados e tendências, estar atento à ética na manipula??o de dados e continuar desenvolvendo habilidades analíticas. E n?o esque?a: a comunica??o eficaz dos insights é t?o importante quanto descobri-los.

It involves tailoring it to align with the company's goals, values, and unique challenges. Then, identify key skills and competencies that employees need to develop to support these goals. Integrate relevant critical thinking methodologies, such as problem-solving techniques, decision-making processes, and analytical approaches, into training programs and organizational practices. Encourage a culture that values questioning, evidence-based reasoning, and creative problem-solving. Regularly evaluate the effectiveness of the framework and make adjustments as needed to ensure it remains relevant and impactful for your organization's success.

You may use an agile approach to customise the framework, i.e. some elements of the framework are static and some are dynamic. This will reduce the efforts of customising everything For example the elements where you need uniformity throughout the organisation need not be customised. Things like ethics, value, branding, etc. Others like recruitment, departmental ways of working, conflict resolution,etc. can all be dynamic

Remember in today’s times, a most data is in the cloud and not on premise. Your vendors may not be providing it to you in the frequency and ways in which your firm needs for accurate decision making. Read the fine print before choosing vendors. You have to build visuals from multiple systems so align the data analytics projects to strategy and all measures that are needed must be defined. Be agile and not reactive. Always remember that the goal is sustainable competitive advantage in the industry. If the company strategy changes the analytical insights should also change so make sure the leaders are communicating the measures and expectations to the lowest leverage. Without a clear direction, the insights will be incorrect.

An example I’ve seen studies the lowest common denominators in workflows related to the highest value to the company. To make money. This is simply the inputs (what comes from the customer) and the output (final product). Studying the data in between, from beginning to end, can highlight bottlenecks to resolve needing vital critical thinking improving profits. Reminding of the company’s critical thinkers of the highest priorities helps focus the team toward success.