However, I was facing analytical challenges. To list a few, I was almost completely dependent on the companys internal data, and it was very difficult to decide where and how to find relevant, accurate data from credible sources outside the company. Next, analyzing data and information that continuously changed or was affected by too many factors, such as the performance and output of machineries
However, I was facing analytical challenges. To list a few, I was almost completely dependent on the companys internal data, and it was very difficult to decide where and how to find relevant, accurate data from credible sources outside the company. Next, analyzing data and information that continuously changed or was affected by too many factors, such as the performance and output of machineries
I unexpectedly found a potential solution while I was examining a gas turbine for my power plant project at one of my suppliers, General Electric (GE). I was surprised to find out its application of analytics to the turbine. The sensors were installed to collect real-time data, which enabled GEs data scientists to remotely monitor the equipments performance from a centralized data center and impr
However, I was facing analytical challenges. To list a few, I was almost completely dependent on the companys internal data, and it was very difficult to decide where and how to find relevant, accurate data from credible sources outside the company. Next, analyzing data and information that continuously changed or was affected by too many factors, such as the performance and output of machineries
However, I was facing analytical challenges. To list a few, I was almost completely dependent on the companys internal data, and it was very difficult to decide where and how to find relevant, accurate data from credible sources outside the company. Next, analyzing data and information that continuously changed or was affected by too many factors, such as the performance and output of machineries
What intrigues me most about analytics is the concept of data discovery, namely, discovering insights and applying analytics to develop data based products, services, or features. I find the concept of data discovery especially fascinating because I realized during my work that there is no position at eTEC that performs both a supporting role and is directly involved with developing products. As
What intrigues me most about this field is the concept of data discovery, namely, discovering insights and developing innovative data based products, services, or features by using the information extracted from data. These skills enable data scientists to not only support businesses by assisting with management-level decisions that help the business run efficiently, but also by offering new prod
However, I was facing analytical challenges. To list a few, I was almost completely dependent on the companys internal data, and it was very difficult to decide where and how to find relevant, accurate data from credible sources outside the company. Next, analyzing data and information that continuously changed or was affected by too many factors, such as the performance and output of machineries
However, I was facing analytical challenges. To list a few, I was almost completely dependent on the companys internal data, and it was very difficult to decide where and how to find relevant, accurate data from credible sources outside the company. Next, analyzing data and information that continuously changed or was affected by too many factors, such as the performance and output of machineries
However, I was facing analytical challenges. To list a few, I was almost completely dependent on the companys internal data, and it was very difficult to decide where and how to find relevant, accurate data from credible sources outside the company. Next, analyzing data and information that continuously changed or was affected by too many factors, such as the performance and output of machineries