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Customer expectations for retail: Beyond digital experience

Dynatrace

This is typically the first thing that comes to mind for IT professionals working in the retail industry when evaluating holiday readiness. CEOs of hybrid retailers prioritize e-commerce growth over in-store shopping, investing heavily in their online storefronts. That lesson remains important. Technology to the rescue?

Retail 191
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Black Friday traffic exposes gaps in observability strategies

Dynatrace

If the mantra in sales is “Always be closing,” the mantra for online retail storefronts is “Always be online.”. Peak loads can overload and crash retailer websites and derail customer interactions. Customer experience has become paramount for retailers, as visitors demand instant responses — especially during times of high volume.

Traffic 181
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly. Software development. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

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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.

Retail 152
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 176
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production. & Wenjing Z.]

Analytics 207
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Are Imposter Domains Re-Publishing Your Website?

Smashing Magazine

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services.

Website 91