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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. Multi-channel logistics.

Retail 205
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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 182
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Frictionless retail: A pandemic imperative for IT

Dynatrace

For most who work in the retail sector, the pandemic has been an unwelcome test of our ability to cope with disruption. In eight months, retailers offering curbside pickup increased from 7% to 44%, reflecting rapidly changing consumer preferences. You’ll benefit through ad hoc analytics to drive real-time collaboration.

Retail 133
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 189
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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 194
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

retail giant, initially tied to an ingest-centric pricing vendor, found itself manually curbing costs by limiting daily log ingestion to 3 TB and reducing retention periods. Consequently, the company’s mean time to identify (MTTI) and mean time to resolve (MTTR) during peak retail seasons was too slow. Enhanced code-level visibility.

Retail 239
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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. Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. Roxy Du (Product Innovation) [Roxy D.]

Analytics 207