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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 also couldn’t compromise on performance and availability.”

Cloud 166
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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. But the company’s point-of-sale system limits daily reports to sales volume, with additional detail available only in monthly reports.

Analytics 221
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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 57
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Shadow Work

The Agile Manager

The definition has expanded in recent years to include tasks that used to be done by other people that most of us now do for ourselves, largely through self-service technology, like banking and travel booking. Last month, Rana Foroohar argued in the FT that worker productivity is declining in no small part because of shadow work.

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Cumulative Layout Shift: What it measures, when it works (and doesn't), and how to use it

Speed Curve

Two of the Web Vitals – Largest Contentful Paint (LCP) and First Input Delay (FID) – were actually available in SpeedCurve for quite a while prior to the announcement. It's definitely worth a read.). According to Google, pages should maintain a CLS score of less than 0.1 Learn more about correlation charts here.).

Retail 81
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

We worked in different industries before joining Netflix, including tech, entertainment, retail, science policy, and research. My academic credentials definitely helped on the technical side. The tooling here is amazing, which made it easy for me to make my models available at scale across the company.

Analytics 207
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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