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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 211
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The keys to helping retailers with Black Friday preparation for exceptional customer experiences

Dynatrace

For retailers, the countdown to the holidays has begun, even if it’s still six months away. Black Friday preparation is the culmination of retailers’ efforts to attract and sustain customer relationships during the holiday season and beyond. It’s no longer a one-day event. Increasingly, consumers want an omnichannel experience.

Retail 174
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Improving customer experience with business process monitoring

Dynatrace

Business processes are important because they improve the efficiency, consistency, and quality of the business outcome. Business process monitoring helps organizations: Increase efficiency by identifying and addressing bottlenecks or inefficiencies that may slow down a business process. Reduce costs.

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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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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 201
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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. A prominent U.S. Transparency.

Retail 245
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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 196