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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. Technology to the rescue? That lesson remains important.

Retail 217
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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 193
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Improving customer experience with business process monitoring

Dynatrace

As organizations continue to undergo digital transformations, more and more of their business processes are dependent on increasingly complex digital technologies. 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.

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

Dynatrace

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Retailers can analyze how factors such as demand, competition, and market trends affect pricing.

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Dynatrace Named a Leader and Positioned Furthest for Vision and Highest in Execution in the 2023 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability

Dynatrace

The growing need for observability in digital transformation Digital transformation and the ubiquitous adoption of multicloud and cloud-native technologies have made observability mandatory. Director of infrastructure, software sector “ Strong technology and stronger people.

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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Let’s take the example of a globally distributed retailer that collects revenue measurements every minute for all its shops worldwide. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. 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. A prominent U.S. 1 million in savings.

Retail 249