What do you do if you want to leverage new technology for better decision-making?

In my experience understanding the business requirements of all stakeholders who will be using the technology is vital to assessing fit for purpose. For example insurance claims does not mean all claims are processed in the same way. You need to understand the product offered, claims process and business requirements to determine if a significant portion of the technology will meet the needs, otherwise modified development and maintenance to an out of the box application could prove costly. Document, analyse and understand the detail in all business processes and requirements. Compare a proposed new system functions pros and cons. Look for opportunities within potential technology candidates that result in improved business processes.

Assessing the needs to leverage new technologies for better decision-making involves a systematic approach to understanding organizational goals, current challenges, and opportunities for improvement. We need to Identify areas where better decision-making can contribute such as improving efficiency, cost reduction, productivity, etc. We also need to analyse the challenges if as a business are we struggling with data overload, conflict in collaborating, lack of data, etc. These pain points will help us to look for the right tools and platforms to address the issues. Every technology approach comes with a cost for investment so choosing wisely is all matters.

By following these steps and fostering a culture of innovation and learning, I can do effectively leverage new technology to improve decision-making processes and drive better outcomes for my organization. Leveraging new technology for better decision-making involves several key steps: 1. Identify Needs and Objectives 2. Research Available Technologies 3. Assess Fit and Feasibility 4. Engage Stakeholders 5. Prototype and Test 6. Provide Training and Support 7. Monitor and Evaluate Performance 8. Iterate and Improve 9. Stay Abreast of Advances

Here's what I've found helpful. To effectively leverage new technology for decision-making. ? Start by setting SMART goals to outline clear, measurable objectives. ? Assess the technology's ROI, ensuring the benefits justify the costs. ?Finally, clearly define expected benefits to align and manage stakeholder expectations for a smooth integration and optimal results.

Desarmar algunos preconceptos. Estamos en pleno desarrollo de una expansiva revolución tecnológica. Es un momento visagra para la humanidad. La ingeniería de I+D y la de producción, deben saber que la incorporación de tecnologías más amigables con el medio ambiente NO está en contradicción con generar más ganancias, todo lo contrario. Creemos que "el mejor efluente es el que no se genera nunca" ya que de por sí habrá ganancias por no haber costo de tratamientos, pero importate aún es que habrá ganancias extras, por la simplificación de procesos como por ahorro de insumibles y mano de obra. Ejemplos: descontaminación en seco del índigo en procesos del jean y denim / Automatización del mantenimiento de las torres de enfriamiento.

We need to have a structured approach to researching options for leveraging new technologies for better decision making. We need to keep ourselves updated on industry trends and advancements in technology that have the potential to impact decision-making. Research the various technologies available in the market that can support better decision-making. This includes AI, machine learning, data analytics platforms, BI tools, automation process, etc. Evaluate the features and capabilities of each technology option to determine how well they align with the specific needs and requirements for decision-making. Consider factors such as scalability, ease of integration, and customization options.

"After identifying your decision-making needs, delve into researching technological options. Explore tools like data analytics platforms, AI systems, or collaborative software that align with your requirements. Understand their features and integration possibilities with your workflows. Stay updated on emerging technologies; they might offer unexpected benefits to your decision-making processes."

Exploring the technological landscape is essential once the needs for decision-making have been identified. It highlights the importance of researching and understanding the various options, from data analytics to artificial intelligence and collaborative software. By examining features and evaluating integration with existing workflows, effective adoption is ensured. Staying abreast of emerging technologies is key to taking advantage of opportunities for continuous improvement.

In our role as technological innovators, we have a method so that the client is not forced to make a blind investment, or as we often say: "no one should test the depth of the river, with both feet." The logical development for the incorporation of new technologies must be clear. It will first have to focus on the concept tests at laboratory scale, if these are satisfactory, it must then continue with the pilot tests to analyze the scalability of the innovation, and if the pilot scale tests are satisfactory, then advance towards the projection and execution of the system at a production scale.

Once we have identified our needs, it's time to explore the technological landscape. Look for tools that offer the functionalities that we require, such as data analytics platforms, artificial intelligence (AI) systems, or collaborative decision-making software. Understand the features of each option and how they can be integrated into our existing workflows. It's important to stay abreast of emerging technologies as well; sometimes, a new development could offer unexpected benefits to your decision-making. Once the right tool is identified, start using the tool and nalyze the results of your decision-making processes.

"Planning integration of new technology demands careful consideration. Assess how it aligns with current systems and workflows, anticipate team training needs, and mitigate operational impacts during the transition. Opt for a phased approach, beginning with a pilot program to gauge effectiveness and gather feedback for adjustments. This method minimizes risks and ensures a smoother implementation process."

Integrating new technology into decision making requires meticulous planning. It is crucial to consider compatibility with existing systems and workflows, as well as the impact on operations and the training needed for the team. A phased approach, with an initial pilot program, allows the technology to be tested before full-scale implementation, minimizing risks and allowing adjustments based on feedback. This strategic, incremental approach is critical to optimizing technology adoption and improving organizational effectiveness.

By prioritizing training and taking a phased approach, you can mitigate risks, maximize efficiency, and set your organization up for success in the long run.

I always maintain that the philosophy of a good Investigation that concludes with an excellent Consulting, must have a Direction that leads to Planning, Organization, System, Evaluation and, Control.

Develop a short-term strategic plan to implement the selected technologies. Defines the objectives, deadlines and necessary resources. Ensure that all relevant teams are aligned with the plan and understand their role in the implementation, to generate the least possible impact on the business teams, here it may be necessary to move resources, if they do not have the capacity to adapt enough for the process.

After defining the strategies and indicators that arise in strategic planning, it is essential that the management tools are innovative so that the development is permanent. The implementation of the tool must take place within multitasking management teams with linking and crossing data in a real-time manner, the team needed to be mature in the process so that you can actually monitor and understand the implementation of the tool and also why the implementation.

When seeking to leverage new technology for enhanced decision-making, adopt a systematic approach. Begin by assessing specific needs and pain points, guiding the selection of technological solutions aligned with objectives. Research available options, including emerging technologies, and carefully plan integration into existing workflows, considering factors like team training and operational impacts. Opt for a phased approach with pilot programs to ensure effective implementation, and monitor closely for prompt issue resolution, thereby supporting improved decision-making outcomes.

Before proceeding with the implementation of selected tools, it's vital to ensure that all team members are adequately trained on how to effectively use the new technology. Consider conducting a pilot run to provide hands-on experience and gather feedback for optimization. This phase may involve setting up new software, customizing features, and integrating it with existing data sources. Close monitoring of the implementation process is crucial to promptly address any issues and ensure that the technology is utilized as intended to support better decision-making.

"After meticulous planning, proceed to implement the chosen tools. Ensure team buy-in and provide comprehensive training on the new technology. Tasks may include software setup, customization, and integration with existing data sources. Monitor implementation closely to promptly address any issues and ensure the technology supports enhanced decision-making as intended."

Data democratization along Data abstraction is the key. It's all about enablement of the team with making the tool effective yet easy to use. New datasets with ML models should be tested, going forward use of AI is must.

In the transport and logistics sector, analyzing results to make quick decisions is very strategic. Transport operations have been growing with great intensity, the need for cost management and maximum use of assets is what will enable companies to have competitive advantages. The best and greater availability of vehicles and labor in our operations will ensure that our customers and demands are met in an optimized way and thus contribute to sustainable business results. With the speed and advancement of technology, companies and managers that do not use results analysis to make quick and assertive decisions will have difficulty staying in the market.

"After implementing new technology, it's vital to analyze the results of your decision-making processes. Assess whether decisions are now faster and more accurate and if the technology provides previously unavailable insights. Monitoring performance metrics allows you to gauge the success of the integration and identify areas for enhancement. Continuous analysis ensures optimal return on investment and keeps decision-making aligned with technological advancements."

Dismantle some preconceptions. We are in the midst of an expansive technological revolution. It is a pivotal moment for humanity. R&D and production engineering must know that the incorporation of more environmentally friendly technologies is NOT in contradiction with generating more profits, quite the opposite. We believe that "the best effluent is the one that is never generated" since in itself there will be profits due to no treatment costs, but it is still important that there will be extra profits, due to the simplification of processes and savings in consumables and labor. construction site. Examples: dry decontamination of indigo in jean and denim processes / Automation of cooling tower maintenance.

With the new technology in place, analyze the results of your decision-making processes. Are you making faster, more accurate decisions? Is the technology providing insights that were previously unavailable? Monitoring performance metrics will help you determine the success of the technological integration and identify areas for improvement. Continuous analysis ensures that you're getting the most out of your investment and that your decision-making keeps pace with technological advancements.

Measures the impact of new technologies on decision making. Have processes been improved? Have errors been reduced? Has decision-making been accelerated? Use key metrics to evaluate success and adjust as necessary. This should be an iterative process, make sure it is not a big bang or long haul process, early wins here are very important.

When leveraging new technology, there is a temptation to focus on how its implementation failed. Instead, break down the intended outcome into its most basic metrics for success and see what can be done with what has been successful. New technology rarely does everything a company needs it to do, within its unique context, the way it wants it to, out of the box. Take the information gathered during analysis and ask the provider whether or not identified shortfalls can be addressed. Once you know what works, what doesn't work, what can change, and what cannot, then you will be more fully prepared to adjust strategy as necessary.

Adjusting the strategy to seek the best business results is fundamental to the position of each manager. With the analysis of result data through the implementation of tools, the data provided to decision makers allows the immediate adjustment of pre-defined strategies. With the possibility of having a real-time view and achieving predictability of results for quick decision making, the alternatives for adjusting strategies become clearer. It is strategic that management has tools available so that they can seek the best path to the best result in their areas, with their times and their businesses.

Embracing innovation and leveraging emerging technologies enable organizations to make informed decisions that drive growth and success. As the digital landscape evolves, cultivating a culture of dynamic decision-making ensures that businesses can thrive and innovate in an ever-changing environment.

Decisions by humans, need to be taken instantly or after a deliberate thought. For instant decisions one may just need a gut-feeling. But for informed decisions, one may deliberate by leveraging technology by collecting & analysing data. Technology also helps in reducing the Observe, Orient, Decide, Act (OODA) loop. Overall, technology is an enabler which supports decision making process.

Making decisions for the future is inherently fraught with risk and uncertainty, but technology can assist in easing some of the difficulties related to risk analysis and mitigation.

Incorporating Emotional Intelligence (EI) into decision-making processes is crucial when leveraging new technology. EI enables individuals to navigate complex social dynamics and understand the human impact of decisions, ensuring a more holistic and empathetic approach to problem-solving.