Data Science & Advanced Analytics

Hello all! I hope everyone has had a fantastic summer. It's now time for us to start engaging in advancing data analytics and grow this incredible platform. With this said, we will be having our first meeting, which will be held during the week of the 23rd of September. I am working with HQ to determine how we best organize the (virtual) meeting, so stay tuned; more information will follow. I have also attached the slide deck from our DSAA Subcommittee meeting that was held at the 2024 ConEx.

As we wait for my next communication, here are some teaser questions to spark interest in using data analytics within project controls. What are your thoughts?

1. How can data analytics help predict project risks before they become issues?
2. Are you leveraging data to improve the accuracy of your project forecasts?
3. What hidden trends in your project data could lead to cost savings or improved performance?
4. How can real-time data analytics enhance decision-making in your project controls process?
5. Could advanced analytics be the key to unlocking better schedule performance and risk management?
6. What insights are you missing by not using data analytics to monitor project progress?
7. How can machine learning models improve cost predictability and reduce margin loss in your projects?
8. Is your project data helping you make proactive decisions or only reacting to problems after they occur?
9. What role does data play in optimizing resource allocation and project planning?
10. How can predictive analytics transform the way you manage scope changes and project adjustments?

Please partner with us this following year as we explore the endless possibilities and opportunities that are currently available. 

Lance

Hello all! I hope everyone has had a fantastic summer. It's now time for us to start engaging in advancing data analytics and grow this incredible platform. With this said, we will be having our first meeting, which will be held during the week of the 23rd of September. I am working with HQ to determine how we best organize the (virtual) meeting, so stay tuned; more information will follow. I have also attached the slide deck from our DSAA Subcommittee meeting that was held at the 2024 ConEx.

As we wait for my next communication, here are some teaser questions to spark interest in using data analytics within project controls. What are your thoughts?

1. How can data analytics help predict project risks before they become issues?
2. Are you leveraging data to improve the accuracy of your project forecasts?
3. What hidden trends in your project data could lead to cost savings or improved performance?
4. How can real-time data analytics enhance decision-making in your project controls process?
5. Could advanced analytics be the key to unlocking better schedule performance and risk management?
6. What insights are you missing by not using data analytics to monitor project progress?
7. How can machine learning models improve cost predictability and reduce margin loss in your projects?
8. Is your project data helping you make proactive decisions or only reacting to problems after they occur?
9. What role does data play in optimizing resource allocation and project planning?
10. How can predictive analytics transform the way you manage scope changes and project adjustments?

Please partner with us this following year as we explore the endless possibilities and opportunities that are currently available. 

Lance

Hello all! I hope everyone has had a fantastic summer. It's now time for us to start engaging in advancing data analytics and grow this incredible platform. With this said, we will be having our first meeting, which will be held during the week of the 23rd of September. I am working with HQ to determine how we best organize the (virtual) meeting, so stay tuned; more information will follow. I have also attached the slide deck from our DSAA Subcommittee meeting that was held at the 2024 ConEx.

As we wait for my next communication, here are some teaser questions to spark interest in using data analytics within project controls. What are your thoughts?

1. How can data analytics help predict project risks before they become issues?
2. Are you leveraging data to improve the accuracy of your project forecasts?
3. What hidden trends in your project data could lead to cost savings or improved performance?
4. How can real-time data analytics enhance decision-making in your project controls process?
5. Could advanced analytics be the key to unlocking better schedule performance and risk management?
6. What insights are you missing by not using data analytics to monitor project progress?
7. How can machine learning models improve cost predictability and reduce margin loss in your projects?
8. Is your project data helping you make proactive decisions or only reacting to problems after they occur?
9. What role does data play in optimizing resource allocation and project planning?
10. How can predictive analytics transform the way you manage scope changes and project adjustments?

Please partner with us this following year as we explore the endless possibilities and opportunities that are currently available. 

Lance

Hello all! I hope everyone has had a fantastic summer. It's now time for us to start engaging in advancing data analytics and grow this incredible platform. With this said, we will be having our first meeting, which will be held during the week of the 23rd of September. I am working with HQ to determine how we best organize the (virtual) meeting, so stay tuned; more information will follow. I have also attached the slide deck from our DSAA Subcommittee meeting that was held at the 2024 ConEx.

As we wait for my next communication, here are some teaser questions to spark interest in using data analytics within project controls. What are your thoughts?

1. How can data analytics help predict project risks before they become issues?
2. Are you leveraging data to improve the accuracy of your project forecasts?
3. What hidden trends in your project data could lead to cost savings or improved performance?
4. How can real-time data analytics enhance decision-making in your project controls process?
5. Could advanced analytics be the key to unlocking better schedule performance and risk management?
6. What insights are you missing by not using data analytics to monitor project progress?
7. How can machine learning models improve cost predictability and reduce margin loss in your projects?
8. Is your project data helping you make proactive decisions or only reacting to problems after they occur?
9. What role does data play in optimizing resource allocation and project planning?
10. How can predictive analytics transform the way you manage scope changes and project adjustments?

Please partner with us this following year as we explore the endless possibilities and opportunities that are currently available. 

Lance

Hello all! I hope everyone has had a fantastic summer. It's now time for us to start engaging in advancing data analytics and grow this incredible platform. With this said, we will be having our first meeting, which will be held during the week of the 23rd of September. I am working with HQ to determine how we best organize the (virtual) meeting, so stay tuned; more information will follow. I have also attached the slide deck from our DSAA Subcommittee meeting that was held at the 2024 ConEx.

As we wait for my next communication, here are some teaser questions to spark interest in using data analytics within project controls. What are your thoughts?

1. How can data analytics help predict project risks before they become issues?
2. Are you leveraging data to improve the accuracy of your project forecasts?
3. What hidden trends in your project data could lead to cost savings or improved performance?
4. How can real-time data analytics enhance decision-making in your project controls process?
5. Could advanced analytics be the key to unlocking better schedule performance and risk management?
6. What insights are you missing by not using data analytics to monitor project progress?
7. How can machine learning models improve cost predictability and reduce margin loss in your projects?
8. Is your project data helping you make proactive decisions or only reacting to problems after they occur?
9. What role does data play in optimizing resource allocation and project planning?
10. How can predictive analytics transform the way you manage scope changes and project adjustments?

Please partner with us this following year as we explore the endless possibilities and opportunities that are currently available. 

Lance