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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

Let’s assume that your company operates hundreds of individual retail shops across the United States and you want those shops to report a selected set of business KPIs into your monitoring environment. One use case where more fine-grained access is necessary at the metric measurement level is the collection of company-wide business data.

Metrics 208
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Conserve or Invest?

The Agile Manager

Both the financial and real economies have suffered quite a few shocks in the last 20 years: the dot-com bubble bursting (2000); September 11 (2001); the Great Recession (2008); and today in 2020 the COVID-19 crisis is wreaking economic havoc. The tech economy suffered greatly in the wake of the dot-com bubble bursting in 2000.

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How To Build An Amazon Product Scraper With Node.js

Smashing Magazine

Being the largest online retailer on the planet, it’s safe to say that if you want to buy something, you can probably get it on Amazon. rpBJOHq2PR60pnwJlUyP0', { timeout: 2000 }) const body = await page.evaluate(() => { return document.querySelector('body').innerHTML And Puppeteer ” by Andreas Altheimer.

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