Unlike crisis moments, all chronic problem-solving requires an essential ingredient: DATA.
In an organizational setup, the data is created in every transaction or moment, and the data is considered a hidden treasure or gold mine. The way the managers/ leaders access the correct data, refine it for decision-making makes a difference in their problem-solving capability. That is data skill.
Data skill is the ability to get the correct data and interpret and use the insight to make decisions.
Generally, most of us tend to either give immediate solutions based on the data or give our opinion about the data, which leads to a different direction. If you are at the influencing level, your opinion counts much, and the truth from the data will drift.
For example,
You have data that say that the "machine breakdown on an avg 3 hrs per day".
Here, the opinion could be "our machine is old, thereby we get this trouble," or "Maintenance service provider is not providing good service,"
But, the truth could be that machine lubrications are not ensured at the right time or periodically.
Your opinion strongly drifts the data far away from the truth, and the data may not be helpful.
The data skill is how you collect RIGHT inputs, identify some of the noises, remove them, and finally get into the TRUTH. That is a skill every manager needs to learn for better problem solving and decision making.
In one of my client organizations, the delivery was not consistent, and when the team collected the data, they found some supply chain partners were not supplying on time. This is DATA as registered in the system.
The team shared the OPINION that the cash flow was the primary reason, as the firm could not pay to supply partners on time; in turn, they could not deliver the material on time.
Later, the team found the truth that there were planning and communication issues like forecasting, coordinating with supply partners and the cash flow was a relatively minor cause for the problem.
That is learning data skills for using the data, removing the noises, and reaching out to the truth.
The point is how we collect the right inputs, filter out some of the noises, weigh down opinions, and get into the truth.It is essential in data analytics as a skill.
We need to introspect our bias towards data, opinion and truth in solving chronic problems or even in data to day interactions.
Let us discuss some more insights on data analytics and skill development next week.
Have a great week ahead!
In an organizational setup, the data is created in every transaction or moment, and the data is considered a hidden treasure or gold mine. The way the managers/ leaders access the correct data, refine it for decision-making makes a difference in their problem-solving capability. That is data skill.
Data skill is the ability to get the correct data and interpret and use the insight to make decisions.
Generally, most of us tend to either give immediate solutions based on the data or give our opinion about the data, which leads to a different direction. If you are at the influencing level, your opinion counts much, and the truth from the data will drift.
For example,
You have data that say that the "machine breakdown on an avg 3 hrs per day".
Here, the opinion could be "our machine is old, thereby we get this trouble," or "Maintenance service provider is not providing good service,"
But, the truth could be that machine lubrications are not ensured at the right time or periodically.
Your opinion strongly drifts the data far away from the truth, and the data may not be helpful.
The data skill is how you collect RIGHT inputs, identify some of the noises, remove them, and finally get into the TRUTH. That is a skill every manager needs to learn for better problem solving and decision making.
In one of my client organizations, the delivery was not consistent, and when the team collected the data, they found some supply chain partners were not supplying on time. This is DATA as registered in the system.
The team shared the OPINION that the cash flow was the primary reason, as the firm could not pay to supply partners on time; in turn, they could not deliver the material on time.
Later, the team found the truth that there were planning and communication issues like forecasting, coordinating with supply partners and the cash flow was a relatively minor cause for the problem.
That is learning data skills for using the data, removing the noises, and reaching out to the truth.
The point is how we collect the right inputs, filter out some of the noises, weigh down opinions, and get into the truth.It is essential in data analytics as a skill.
We need to introspect our bias towards data, opinion and truth in solving chronic problems or even in data to day interactions.
Let us discuss some more insights on data analytics and skill development next week.
Have a great week ahead!
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