It’s important to make an objective evaluation to recognize the real problem-solvers and improve the overall problem-solving effectiveness.
It is important to experiment, explore, engage and strike the right balance between planning and implementing, science and art, flexibility and hard process for prioritizing, strategizing, systemizing in effective problem-solving.
It’s important to figure out the right level of planning, or take the dynamic planning to keep iterating, adjusting, evolving, for solving chains of problems smoothly: Corporate strategic planning is about diagnosing problems, and setting priority to solve them smoothly. It’s about getting the bigger picture; be clear on what, when and how to achieve based on the value and available resources. The right level of planning is whatever is needed to get you off the ground & running; and working on a rhythm of sustained products or services deliveries.
In today's world, the business context keeps changing constantly, so business plans will need to be revised constantly. As long as you recognize that & cater for it, things should work out fine. Effective leadership and a clearly articulated intent are essential in planning otherwise you end up doing something that does not actually meet the organizational needs or solve critical problems to lead business long-term success.
It’s important to apply a system perspective to do data investigation, treating system-based data analytics or algorithms as akin to climate: Data is one of the important business assets and a very clue about problem-solving. It’s important to do data investigation or any attempt at understanding the business context. The point is that humans should all have some humility and recognize the limitations of their expertise and partner them with the other experts to apply the analytical algorithms for effective problem-solving.
Good data algorithm needs to be developed through integrating knowledge-based data into analytic models simulation testing, implemented for problem-solving. Either for learning, analyzing, deciding, and problem-solving, a good algorithm needs to be developed through integrating knowledge-based data into analytic models simulation testing, implemented for information-based problem-solving.
It is also important to close understanding gaps and encourage innovative problem-solving: Assume that every problem has multiple solutions and it takes the time to look at every situation from multiple points of view. It helps to understand the interdependence of seemingly separate problems, combine things into a whole, or “put pieces of solutions together” seamlessly.
Strategizing problem-solving is about diagnosing the critical issues, setting the right priority and taking an interdisciplinary approach to come up with premium solutions, without ignorance of emergent trends. The logical problem solvers can comprehend induction or deduction; understand variables, interfaces, and interactions, weigh in varying decision factors, figure out “why” and “what” about the problem before jumping to the “how,” with the ultimate goal for producing a higher-than-expected outcome.
Problem-solving is both art and science. We all have to walk in the shoes and see the problem or situation from the others’ point of view. An insightful outlook helps to gain an in-depth understanding of cause and effect based on the identification of relationships and behaviors within a model, context, and structure. It’s important to make an objective evaluation to recognize the real problem-solvers and improve the overall problem-solving effectiveness.
It’s important to figure out the right level of planning, or take the dynamic planning to keep iterating, adjusting, evolving, for solving chains of problems smoothly: Corporate strategic planning is about diagnosing problems, and setting priority to solve them smoothly. It’s about getting the bigger picture; be clear on what, when and how to achieve based on the value and available resources. The right level of planning is whatever is needed to get you off the ground & running; and working on a rhythm of sustained products or services deliveries.
In today's world, the business context keeps changing constantly, so business plans will need to be revised constantly. As long as you recognize that & cater for it, things should work out fine. Effective leadership and a clearly articulated intent are essential in planning otherwise you end up doing something that does not actually meet the organizational needs or solve critical problems to lead business long-term success.
Good data algorithm needs to be developed through integrating knowledge-based data into analytic models simulation testing, implemented for problem-solving. Either for learning, analyzing, deciding, and problem-solving, a good algorithm needs to be developed through integrating knowledge-based data into analytic models simulation testing, implemented for information-based problem-solving.
It is also important to close understanding gaps and encourage innovative problem-solving: Assume that every problem has multiple solutions and it takes the time to look at every situation from multiple points of view. It helps to understand the interdependence of seemingly separate problems, combine things into a whole, or “put pieces of solutions together” seamlessly.
Problem-solving is both art and science. We all have to walk in the shoes and see the problem or situation from the others’ point of view. An insightful outlook helps to gain an in-depth understanding of cause and effect based on the identification of relationships and behaviors within a model, context, and structure. It’s important to make an objective evaluation to recognize the real problem-solvers and improve the overall problem-solving effectiveness.
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