UNIONDALE, NY / ACCESSWIRE / October 29, 2024 / Ria Delamere has found success as the chief technology and product officer at Traject Data in Westminster, Colorado. Hailing from two decades of experience in her field, Ms. Delamere has revolutionized the way Traject Data processes information, cutting processing times and setting new benchmarks in data efficiency. Recognized by Marquis Who's Who for her excellence in software development and engineering, Ms. Delamere has made an indelible mark on the technology landscape.
Ms. Delamere's impressive academic background includes a Bachelor of Arts in Physics from Scripps College in Claremont in 1998, a Master of Arts in Industrial and System Engineering from The University of Southern California Los Angeles in 2000 and a Master of Business Administration from Regis University in 2004. Ms. Delamere also holds credentials from the International Scrum Institute as a scrum product owner and scrum master since 2015.
Changing the Conversation
Ms. Delamere understands that there are many data providers available for companies to select from but believes that businesses should be wise in which questions are asked during their selection process. This is especially important for artificial intelligence and machine learning firms. Traject Data has had many potential customers approach it because of the unreliability they had experienced with competitors.
Ms. Delamere points out that many companies unknowingly seek out average speeds when selecting a data provider, failing to understand how to evaluate if a data provider will give them the best service and fastest speeds available. Traject Data's approach is not to measure speed in averages but in percentiles. This is how Traject Data is meeting the industry by changing the conversation.
Why Speed Averages Don't Work
Ms. Delamere offers an example from one of Traject Data's customers to show why speed averages can be misleading. This delivery service relies on precise, real-time data to verify which stores are open during holiday hours. If they mistakenly dispatch drivers to closed locations, they risk not only losing revenue but also damaging their reputation for reliability.
Some providers report an average response time of 6 seconds, which might appear adequate at first. However, actual response times can vary dramatically-from as quick as 6 seconds to as slow as 45 minutes. This wide variation reveals the limitation of relying on averages: they tend to hide outliers that can cause significant delays. Consequently, averages fail to represent the typical customer experience, where unpredictable delays occur more often than the "average" might suggest.
This is why measuring speed in percentiles matters more. Traject Data provides this information in P90 (90th percentile), P70 (70th percentile), and P50 (50th percentile) metrics. They understand that this information is crucial for ensuring a smooth experience for its users.
Checking Percentiles
Speed isn't just about convenience, Ms. Delamere asserts. For clients running critical services like delivery or e-commerce, speed is essential. Traject Data offers reliability by tracking and optimizing data delivery based on P90, P70, and P50 metrics. P90 refers to the speed at which 90% of all data requests are completed. By focusing on this rather than averages, trajectory data ensures that even during peak times, most customers experience only minimal delays. Traject Data can ensure a more dependable speed and fewer slow responses for their clients by focusing on percentiles instead of relying on average speeds. They do this through a combination of continuous monitoring and careful resource allocation, making sure that there is always enough computing power for the work to be done. Meanwhile, their development team constantly looks for ways to improve their responses and squeeze the most performance out of the resources they have, all while remaining vigilant to possible roadblocks in the future.
For businesses relying on real-time data for critical operations, requesting an average speed is the wrong approach. As Ms. Delamere points out, the real question should be, "What is your P90? How reliable are you when my business needs you the most?"
Looking to the Future
Ms. Delamere wants to continue building on the success she has achieved with product and engineering. She hopes that Traject Data will become the name that people think of when they need to power their machine learning and data matching platforms-a reliable partner for data-hungry applications that need dependable performance from their data providers. In addition to her professional career, Ms. Delamere plans to continue mentoring upcoming leaders in the industry, particularly serving as an inspiration to young women entering the field of STEM.
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SOURCE: Marquis Who's Who