Highly Scalable
MARCH 10, 2015
Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. However, many of these models are highly parametric (i.e.
Dynatrace
APRIL 10, 2023
Rural lifestyle retail giant Tractor Supply Co. Rural lifestyle retail giant Tractor Supply Co. discussed the 85-year-old retailer’s cloud migration journey and the importance of multicloud observability at Dynatrace Perform 2023. “We monitor all services that produce metrics in the top three clouds,” he said.
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Dynatrace
APRIL 20, 2023
“[Grail] also provides Dynatrace partners answers with no indexes, no schema definition, and no rehydration,” Pawlowski added. Metrics and traces give context to a user’s objectives, such as checking a bank balance, making a payment, or applying for a mortgage. Seamless integration. Fast, precise answers.
Dynatrace
JANUARY 18, 2023
Business events are prioritized over metric events and observability data to deliver lossless precision. Consider the following business revenue use case: A retail chain wants to boost the average checkout transaction value by encouraging customers to add additional items to their purchase. What are business events?
Speed Curve
FEBRUARY 5, 2024
However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. See this guide to learn how you can define custom dimension data, metadata, or metric (timing, size, numeric).
Dynatrace
MARCH 10, 2020
From their favorite retailer to their favorite restaurant, today’s customers place great value on every interaction they have with a brand. Overall statistics like the number of users, user sessions, or the crash rate definitely are a good starting point. Dynatrace news.
The Morning Paper
JUNE 18, 2019
Nines are not enough: meaningful metrics for clouds Mogul & Wilkes, HotOS’19. It also treats all outages as equal, whereas an outage on Black Friday for a retailer is much worse than an outage on a quiet day of the year. Is there another way of thinking about this? The last word.
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