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In the week ahead, a fresh reading on inflation and retail sales will lead the economic calendar. ... CPI is forecast to have risen 3.3% over last year in October, unchanged from September's ...
In retail, companies can keep detailed records of every transaction made allowing them to better understand customer behavior in store. Data mining can be practically applied through performing basket analysis, sales forecasting, database marketing, and merchandising planning and allocation.
Economists polled by Reuters had forecast retail sales, which are mostly goods and are not adjusted for inflation, advancing 0.5%. Estimates ranged from a 0.1% dip to a 1.0% surge.
Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.
The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...
On Tuesday, a top PepsiCo strategy executive told Reuters that PepsiCo has begun using more of retailers' own data on their sales of PepsiCo products to better forecast demand and make its supply ...
Uplift modelling is a data mining technique that has been applied predominantly in the financial services, telecommunications and retail direct marketing industries to up-sell, cross-sell, churn and retention activities.
Meanwhile, online sales were up a healthy 1.9% in June. The strength from that category could persist in July due to Amazon’s annual deal event known as Prime Day. Sales at home improvement ...
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