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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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Increased focus for your teams with fine-grained access control for your Prometheus, StatsD, and Telegraf metrics

Dynatrace

Recently, we simplified StatsD, Telegraf, and Prometheus observability by allowing you to capture and analyze all your custom metrics. Gain fine-grained access control for Prometheus, StatsD, and Telegraf metrics. To achieve this, you can now grant access to any single metric within a Dynatrace management zone.

Metrics 189
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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 226
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What is FinOps? How to keep cloud spend in check

Dynatrace

Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies. Establish a FinOps culture that supports buy-in from all stakeholders, as well as metrics that all teams understand and use. FinOps behavioral change management.

Cloud 184
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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 177
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Enabling intent-based capacity planning with Dynatrace

Dynatrace

With any cloud technology, managing cost efficiency is critical. Some of these patterns can be planned for , such as peak seasons for travel and retail industries, while others are entirely spontaneous to the business. Performance Metrics. Dynatrace automatically creates a dependency map and keeps it up to date in real-time.

Retail 202
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. This can vastly reduce an organization’s storage costs and improve data efficiency. Inadequate context. Poor root-cause analysis.

Analytics 203