LEAD.305.HSF1 Adaptive Decision Making Week 4 Forum Use of Data 1) How did Money Ball change baseball by using statistical data? 2). In Money Ball how did they use data to help in decision making? 3) How have you used data to influence decisions? What has worked and what pitfalls have you had using data? You need to response to your four classmates answer to the questions above Example: (Hello Robi! Interesting post this week about your experience with data, especially around the budgeting process. With all of the data you have available, I am shocked that staffing is one of the pitfalls. But then again, I feel like this is where companies tend to 'overwork' or put too much on the employees plates with a lack of resources) Classmate post #1 How did Money Ball change baseball by using statistical data? Moneyball demonstrated how the Oakland Athletics team and general manager, Billy Beane, used of data statistics to identify undervalued players who had specific skills that traditional scouting measures did not evaluate. Before the incorporation of statical data, teams evaluated and made decisions about draftees, trades, and signing through intuition, likability, and basic home average. The Oakland A's began to use statistical data that focused on-base percentage and slugging percentage. They found that players who could regularly get on base or hit for power were key providers to scoring runs, even if they weren’t the star player and were often overlooked by teams. This approach allowed the team to have an edge and assemble a competitive roster within their limited budget. The recruitment of players with great skills for a low budget was key to them. 2). In Money Ball how did they use data to help in decision-making? Moneyball transformed decision-making in baseball by breaking from the long-standing traditional avenues of conducting player evaluation and using a data-driven approach to change how it conducted business. By focusing on statistics, the team built an ambitious roster within their budget as well as found unsung heroes within the sport. This shift resulted in other teams in the MLB organization following suit and changing the game of baseball. The game and business of baseball now use statistics and data-driven approaches to gather information to build a great MLB club. 3) How have you used data to influence decisions? What has worked and what pitfalls have you had using data? In my profession, we use data from various types of emergencies, including hazardous materials incidents, structural fires, medical emergencies, aircraft emergencies, and wildland emergencies. This data helps us calculate the needs for vehicles and staffing. By analyzing the collected data, we can approach our leadership to request additional funding for manpower and equipment. This enables us to improve our emergency response skills and increase the level of service we provide. However, we also encounter pitfalls in our budgeting process. A significant portion, around 90%, is assigned to staffing needs, which is essential for maintaining a well-equipped team. However, this leaves a smaller portion for other crucial areas in the fire department, such as training, fire prevention, and emergency center operations. Balancing these different sections becomes a challenge, and we need to carefully navigate and prioritize our budget allocations. Your response: Classmate post #2 Good evening class, How did Money Ball change baseball by using statistical data, and how did they use data to help in decision-making? In the movie Money Ball, the A’s general manager began using overlooked data and metrics to build the team. They focused on overlooked metrics and data such as player high on-base percentages (OBP) and slugging percentages (SLG), as opposed to traditional metrics such as batting averages and runs batted in (RBI). Having a smaller budget than other organizations, they targeted players that were overlooked by focusing on these data points. Using this data, the A’s were able to recruit key players at a fraction of the cost, and also compete with teams that had bigger budgets. How have you used data to influence decisions? What has worked and what pitfalls have you had using data? Working in my field, data is crucial especially when supporting missions overseas. An example of data influencing decisions would be operation planning. Getting the correct intelligence via multiple sources allows decision-makers the ability to look at enemy capabilities and vulnerabilities. By being able to look at the terrain, equipment, and the number of enemies plays a role in the strategies, resources, and course of action we will use. It is also important we take into consideration the civilian population as well. An example of using data to influence decisions that have worked in my field would be the quality of data. There are processes and validation factors that play into the data collection and analysis. While rare, the data collected can also be a pitfall due to anomalies in data that have occurred. There has been a couple of instances where I have had to reach out to other organizations to verify what they are seeing on their end. Like most systems, there are updates/upgrades, or anomalies that happen, and while rare are pitfalls. Your response: Classmate post #3 I want to first start off by saying that I have never watched the Money Ball movie before, but now I want to! 1) How did Money Ball change baseball by using statistical data? Based off of the short clips I watched, it appears that Money Ball changed baseball by using statistical data. They utilized statistical data in order to recruit and negotiate contracts for baseball. This allowed the coach (Brad Pitt) and his assistant (Jonah Hill) to look merely at statistics and eliminate any biases. What they were able to do, is calculate statistics for underrated players in order to determine how they could get the best team in order to win the championship. 2). In Money Ball how did they use data to help in decision making? In Money Ball, they were able to use data for decision making when it came to recruiting, negotiating, and calculating baseball statistics for underrated players. 3) How have you used data to influence decisions? What has worked and what pitfalls have you had using data? According to StitchData, there are 5 benefits of utilizing data for business: 1. Personalize the customer experience 2. Inform business decision-making 3. Streamline operations 4. Mitigate risk and handle setbacks 5. Enhance security I love data, and I love working with data! I feel that utilizing data helps influence decisions and discussions. For example, in my last role, one of the programs my team managed was User Experience. Often times we would receive complaints about a certain process, and we were able to pull data/statistics to determine if the complaint was valid or not. In addition, we utilized data to identify certain trends, gaps, and a way to look at feedback. In my opinion, one of the pitfalls of data could be multiple sources providing the same data. Your response: Classmate post #4 Hello Class, • How did Money Ball change baseball by using statistical data? From watching the small clips, they used statistical data based on 51 player evaluations and walked through a calculation based on game experiences and scores to use the value of the players. They used codes with year projections and intelligence data that overlook biases (personality, looks, age) of potential players with the gathered data who will be valuable to be part of a championship team. • In Money Ball how did they use data to help in decision making? Based on the findings, they were able to decipher who has the potential and excellent performance to be part of the team and the ability to decide if they can offer the 25 players a certain amount of money that is affordable to obtain. • How have you used data to influence decisions? What has worked and what pitfalls have you had using data? I have used data to persuade me how to handle complex situations. I would gather information from different people, departments, experiences, etc. I would carefully deliberate all of the data and then make the decision. Based on the readings and the Ted Talks, I may have relied too much on data to make decisions. Chalabi (2017) states that you should ask questions (can you see uncertainty, see yourself in the data, and how was the data collected) to understand what the numbers are truly saying. This was eye-opening because I always rely on data based on what others see and experience, and I not considering my thoughts and process about the information in front of me. There is also a possibility that adding more data means an increase in complexity, and reaching a saturation point leads to more uncertainty about decisions (Klein, 2009). When I am deciding, I always want more data for proof. But then doing that makes it harder for someone to decide, and then the deciding factor becomes uncertain. I may need to slow down, use enough data that is not overloaded with information, and consider other factors to make decisions in the future. Your response:??

LEAD.305.HSF1 Adaptive Decision Making Week 4 Forum Use of Data 1) How did Money Ball change baseball by using statistical data? 2). In Money Ball how did they use data to help in decision making? 3) How have you used data to influence decisions? What has worked and what pitfalls have you had using data? You need to response to your four classmates answer to the questions above Example: (Hello Robi! Interesting post this week about your experience with data, especially around the budgeting process. With all of the data you have available, I am shocked that staffing is one of the pitfalls. But then again, I feel like this is where companies tend to 'overwork' or put too much on the employees plates with a lack of resources) Classmate post #1 How did Money Ball change baseball by using statistical data? Moneyball demonstrated how the Oakland Athletics team and general manager, Billy Beane, used of data statistics to identify undervalued players who had specific skills that traditional scouting measures did not evaluate. Before the incorporation of statical data, teams evaluated and made decisions about draftees, trades, and signing through intuition, likability, and basic home average. The Oakland A's began to use statistical data that focused on-base percentage and slugging percentage. They found that players who could regularly get on base or hit for power were key providers to scoring runs, even if they weren’t the star player and were often overlooked by teams. This approach allowed the team to have an edge and assemble a competitive roster within their limited budget. The recruitment of players with great skills for a low budget was key to them. 2). In Money Ball how did they use data to help in decision-making? Moneyball transformed decision-making in baseball by breaking from the long-standing traditional avenues of conducting player evaluation and using a data-driven approach to change how it conducted business. By focusing on statistics, the team built an ambitious roster within their budget as well as found unsung heroes within the sport. This shift resulted in other teams in the MLB organization following suit and changing the game of baseball. The game and business of baseball now use statistics and data-driven approaches to gather information to build a great MLB club. 3) How have you used data to influence decisions? What has worked and what pitfalls have you had using data? In my profession, we use data from various types of emergencies, including hazardous materials incidents, structural fires, medical emergencies, aircraft emergencies, and wildland emergencies. This data helps us calculate the needs for vehicles and staffing. By analyzing the collected data, we can approach our leadership to request additional funding for manpower and equipment. This enables us to improve our emergency response skills and increase the level of service we provide. However, we also encounter pitfalls in our budgeting process. A significant portion, around 90%, is assigned to staffing needs, which is essential for maintaining a well-equipped team. However, this leaves a smaller portion for other crucial areas in the fire department, such as training, fire prevention, and emergency center operations. Balancing these different sections becomes a challenge, and we need to carefully navigate and prioritize our budget allocations. Your response: Classmate post #2 Good evening class, How did Money Ball change baseball by using statistical data, and how did they use data to help in decision-making? In the movie Money Ball, the A’s general manager began using overlooked data and metrics to build the team. They focused on overlooked metrics and data such as player high on-base percentages (OBP) and slugging percentages (SLG), as opposed to traditional metrics such as batting averages and runs batted in (RBI). Having a smaller budget than other organizations, they targeted players that were overlooked by focusing on these data points. Using this data, the A’s were able to recruit key players at a fraction of the cost, and also compete with teams that had bigger budgets. How have you used data to influence decisions? What has worked and what pitfalls have you had using data? Working in my field, data is crucial especially when supporting missions overseas. An example of data influencing decisions would be operation planning. Getting the correct intelligence via multiple sources allows decision-makers the ability to look at enemy capabilities and vulnerabilities. By being able to look at the terrain, equipment, and the number of enemies plays a role in the strategies, resources, and course of action we will use. It is also important we take into consideration the civilian population as well. An example of using data to influence decisions that have worked in my field would be the quality of data. There are processes and validation factors that play into the data collection and analysis. While rare, the data collected can also be a pitfall due to anomalies in data that have occurred. There has been a couple of instances where I have had to reach out to other organizations to verify what they are seeing on their end. Like most systems, there are updates/upgrades, or anomalies that happen, and while rare are pitfalls. Your response: Classmate post #3 I want to first start off by saying that I have never watched the Money Ball movie before, but now I want to! 1) How did Money Ball change baseball by using statistical data? Based off of the short clips I watched, it appears that Money Ball changed baseball by using statistical data. They utilized statistical data in order to recruit and negotiate contracts for baseball. This allowed the coach (Brad Pitt) and his assistant (Jonah Hill) to look merely at statistics and eliminate any biases. What they were able to do, is calculate statistics for underrated players in order to determine how they could get the best team in order to win the championship. 2). In Money Ball how did they use data to help in decision making? In Money Ball, they were able to use data for decision making when it came to recruiting, negotiating, and calculating baseball statistics for underrated players. 3) How have you used data to influence decisions? What has worked and what pitfalls have you had using data? According to StitchData, there are 5 benefits of utilizing data for business: 1. Personalize the customer experience 2. Inform business decision-making 3. Streamline operations 4. Mitigate risk and handle setbacks 5. Enhance security I love data, and I love working with data! I feel that utilizing data helps influence decisions and discussions. For example, in my last role, one of the programs my team managed was User Experience. Often times we would receive complaints about a certain process, and we were able to pull data/statistics to determine if the complaint was valid or not. In addition, we utilized data to identify certain trends, gaps, and a way to look at feedback. In my opinion, one of the pitfalls of data could be multiple sources providing the same data. Your response: Classmate post #4 Hello Class, • How did Money Ball change baseball by using statistical data? From watching the small clips, they used statistical data based on 51 player evaluations and walked through a calculation based on game experiences and scores to use the value of the players. They used codes with year projections and intelligence data that overlook biases (personality, looks, age) of potential players with the gathered data who will be valuable to be part of a championship team. • In Money Ball how did they use data to help in decision making? Based on the findings, they were able to decipher who has the potential and excellent performance to be part of the team and the ability to decide if they can offer the 25 players a certain amount of money that is affordable to obtain. • How have you used data to influence decisions? What has worked and what pitfalls have you had using data? I have used data to persuade me how to handle complex situations. I would gather information from different people, departments, experiences, etc. I would carefully deliberate all of the data and then make the decision. Based on the readings and the Ted Talks, I may have relied too much on data to make decisions. Chalabi (2017) states that you should ask questions (can you see uncertainty, see yourself in the data, and how was the data collected) to understand what the numbers are truly saying. This was eye-opening because I always rely on data based on what others see and experience, and I not considering my thoughts and process about the information in front of me. There is also a possibility that adding more data means an increase in complexity, and reaching a saturation point leads to more uncertainty about decisions (Klein, 2009). When I am deciding, I always want more data for proof. But then doing that makes it harder for someone to decide, and then the deciding factor becomes uncertain. I may need to slow down, use enough data that is not overloaded with information, and consider other factors to make decisions in the future. Your response:??