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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 196
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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. This can be increasingly difficult with spontaneous user habits – or other outside variables.

Retail 218
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Advantages of using codeless test automation tools – An exhaustive list

Testsigma

MarketQuest (2021) predicts automation testing to grow at a Compound Annual Growth Rate (CAGR) of 9.8% Globally, organizations across banking, retail, automotive, healthcare, etc., That brings us to the crux of our conversation — codeless test automation. Advantages of Using Codeless Automation Testing Tool.

Testing 57
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What is real user monitoring (RUM)?

Dynatrace

Whereas RUM can capture all the nuances of your real users, providing a true picture into their experience, synthetic monitoring is great for proactive simulation and testing of the expected user experience. Some examples include: Monitoring a retailer’s online catalog to detect any increase in page load times.

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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoint monitoring (EM).

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What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

To this, they responded that as they were in the fashion retail business , they weren’t doing containers and didn’t think they’ll ever make it to become cloud-native. Why are containers so hot?? . ?

Google 132