Remove customers
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Automate your work with unified observability and custom solutions

Dynatrace

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. Custom solutions come in all shapes and sizes, providing value for customers, partners, and internal Dynatrace users.

AWS 229
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Improving customer experience with business process monitoring

Dynatrace

Monitoring business processes is one thing organizations can do to help improve the key business processes that enable them to provide great customer experiences. Improve customer satisfaction by improving processes to provide customers with faster and higher quality service. Reduce costs.

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Dynatrace Perform 2024: Recognizing customer and partner digital gamechangers

Dynatrace

Every year at our annual user conference, Dynatrace Perform , we recognize the most inspiring success stories from our most innovative, transformative customers and partners. The post Dynatrace Perform 2024: Recognizing customer and partner digital gamechangers appeared first on Dynatrace news. Congratulations to the winners!

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Customer expectations for retail: Beyond digital experience

Dynatrace

Digital experience is often considered the most important customer-facing aspect of digital commerce. Almost two decades ago, a Google experiment showed that fast-loading transactions are more important to customers than content quality—even small increases in transaction delay result in substantially more abandoned sessions.

Retail 211
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Unlock Customer Behavior With Time Series Analysis

DZone

Examples of time series data include stock prices, weather patterns, and customer sales records. A time series is a sequence of data points that are recorded over a specific period, typically at regular intervals.

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Five best practices to get the most out of customer experience analytics

Dynatrace

What is customer experience analytics: Fostering data-driven decision making In today’s customer-centric business landscape, understanding customer behavior and preferences is crucial for success. Use advanced analytics techniques Customer experience analytics goes beyond basic reporting. surveys and reviews).

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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. Over the past decade, observability vendors have built cost models that have not accounted for the explosive rise in data required by customers. This pricing model adversely affects customers in several ways.

Retail 244