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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 165
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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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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. Consequently, the company’s mean time to identify (MTTI) and mean time to resolve (MTTR) during peak retail seasons was too slow.

Retail 233
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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. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 184
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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Dynatrace Grail™ data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining the data’s context to deliver instant, cost-efficient, and precise analytics. Digital transformation 2.0

Azure 176
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What is digital transformation? How to transform your business strategy

Dynatrace

This process reinvents existing processes, operations, customer services, and organizational culture. Through it all, best practices such as AIOps and DevSecOps have enabled IT teams to efficiently and securely transform. What is digital transformation? Why is digital transformation critical for organizations?

Strategy 191
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. This can vastly reduce an organization’s storage costs and improve data efficiency. Dynatrace news. What is log analytics? Better-quality code. Inadequate context.

Analytics 211