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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.

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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. Let’s illustrate a simple use case for a retail outlet. Dynatrace news.

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Improving customer experience with business process monitoring

Dynatrace

Code changes are often required to expose important business data, delaying implementation. Business process monitoring examples: A retail use case It can be helpful to put business processes in the context of a specific type of business or industry. Fragile data pipelines introduce ongoing maintenance overhead.

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

Dynatrace

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Retailers can analyze how factors such as demand, competition, and market trends affect pricing. Government.

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Penetration Testing: What Is the Future Technology?

DZone

It provides an insightful example: " Cybercriminals load malicious code onto retailers' websites to steal shoppers' credit card details, with 4,800+ unique websites compromised on average every month. It is no surprise that web attacks rose by 56% in the last year alone, reports Norton's 2019 Internet Security Threat Report.

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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.

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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Application observability also helps to improve end-user experiences when combined with Dynatrace Digital Experience monitoring.

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