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2023 Black Friday and Cyber Monday retail and e-commerce IT performance observations

Dynatrace

Over the years, I have watched and written about online retail and e-commerce IT performance. What I have seen is a maturing of the online retail channels when it comes to delivering customer experiences. This year we saw few, if any, major issues with online retailers. This is where many retailers have matured over the years.

Retail 223
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Data Mining Problems in Retail

Highly Scalable

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.

Retail 152
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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

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 need to scale faster with shorter deployment times.

Cloud 173
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The value of business events: How IT can increase business agility

Dynatrace

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. Step 2 : Add processing rules with matcher DQL, data fields, and processor definition. We can use a processing rule to add this new field.

Analytics 230
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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 60
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Conducting log analysis with an observability platform and full data context

Dynatrace

“[Grail] also provides Dynatrace partners answers with no indexes, no schema definition, and no rehydration,” Pawlowski added. Using Grail to heal observability pains Grail logs not only store big data, but also map out dependencies to enable fast analytics and data reasoning.

Analytics 190
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Ensure great customer experience on your mobile app by monitoring key user actions

Dynatrace

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.

Mobile 180