Remove Metrics Remove Processing Remove Retail
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Leverage logs for an end-to-end view of your business processes via Dynatrace OpenPipeline

Dynatrace

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

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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.

Retail 182
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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
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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 246
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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. “At one point, we saw a process that was causing a lot of CPU contention.

Cloud 243
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Business observability: From IT monitoring to driving digital transformation

Dynatrace

This traditional approach presents key performance metrics in an isolated and static way, providing little or no insight into the business impact or progress toward the goals systems support. Often, these metrics are unable to even identify trends from past to present, never mind helping teams to predict future trends.

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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. However, in the real world, business-related data isn’t limited to metrics.

Database 246