Quantification is a way to improve something and tell a complete story. Quantitative analysis is a change aimed at improvement. It can indicate the focus of the work and the results of the work, but it is not a solution. Quantitative analysis must be handed over to the data owner: all employees in the organization, mainly frontline employees.
Quantitative analysis is the cornerstone of the organizational development plan and a tool to solve important organizational problems.
1. The simplest form of information for data, usually numbers or constants
2. indicators are grouped into truly relevant data to make the meaning of the Data clearer.
3. context is added to the information so that the metrics can be better understood.
4. Quantitative analysis provides a complete description to answer all fundamental questions. data, indicators, information, and other analysis methods are used.
The fundamental problem defines the needs of quantitative analysis and determines whether the quantitative analysis system is valuable. To get a fundamental question, you need to ask why five times until you discover the fundamental requirement or question. Most fundamental problems come from organizational goals, opportunities for improvement, or problems to be addressed, but it is not necessary to quantitatively analyze the results that are fundamental.
Check the root problem:
1. Is there a need for information, indicators, or data?
2. Is the answer simple?
3. How to Use the answer to the question?
4. Who can I share the answer?
5. Can I use it to draw a picture?
The definition of terms is clear and straightforward.
The best way to be creative is to avoid details and focus on the whole world.
If fear is an ignorant child, and you only want to ask for data and refuse to share it with them, then you are a new mother.
A process that cannot be repeated is not a real process. The greatest natural enemy of data accuracy is humans. The key to making mistakes is to reduce the harm caused by mistakes.
The quantitative analysis result is the catalyst for research and discussion, and then the action. The quantitative analysis result is just a indicator, not a fact. The first proper response is to conduct research. The truth is not always so obvious. The purpose of evaluation is not to criticize or criticize anyone. The Quantitative Analysis of utility aims to help us understand products and services from the customer's perspective.
The starting point of the quantitative analysis system is the multi-quadrant diagram of the answer outline:
Note that:
-Most organizations do not have the conditions required for quantitative analysis of distant health conditions.
-The Organization's health condition refers to the employee's situation. Most leaders are not prepared to listen, and if they do not have trust, most employees are not prepared to say
-The lack of trust makes it difficult to evaluate the health status of an organization, collect accurate data on business operations, and assess the health status of business processes.
The triangle cross method is the main basis for building a strong quantitative analysis system.
The vision, mission, and goal are to drive the Organization forward.
The expectation is fully based on the customer's perspective and provides the final scenario of the quantitative analysis system. Without expectations, I don't know whether the story is good or bad. Collaboration allows employees to become masters of product and service quality. Using Quantitative Analysis results as incentives is more like action rather than collaboration.
The ratio of Recommendation users to devalued users must reach 2 to 1 to increase. The evaluation will tell you that you do not know what you do not know. Good intentions cannot resist the waste of ineffective execution. The benchmark is the starting line for the quantitative analysis system to make a meaningful comparison. Quantitative analysis may cause more damage than it brings. Quantitative analysis should never replace common sense or be personally involved. Emotional responses to data abuse cannot be avoided.
Collecting, analyzing, and reporting data without any fundamental problems means no direction for research.
To achieve true success, you must define your own success and accept your own personality.
Enterprise Management in the big data age-read the notes on Quantification
