Polytab Analytics Blog

5 Steps to improving analytical marketing intelligence

Most marketing organizations in North America have achieved a Level 3 maturity in the marketing process maturity model. They have limited management support for fact-based decisions, a basic customer data repository, and a foundational customer segmentation scheme in place. There are still some organizational barriers in place. The analytical insights are localized to departments and […]

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Polytab Analytics Launches BigView to make Big Data analytics and Personalization accessible to retailers of all size

BigView analytical workbench lets merchants of all sizes integrate big data analytics into retail operations for real time decision support and personalization. Palm Springs, California — February 26, 2018— Infernotions Technologies Ltd, the company behind Polytab Analytics has launched BigView – cloud-based analytical workbench at Etail West 2018, the retail ecommerce conference in Palm Springs, […]

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Black Friday and Cyber Monday shopper journey analysis

I did the following analysis on data compiled with Polytab’s attribution technology in the BigView analytics platform. The analysis was on the shopper journeys leading up to the purchases on Black Friday and Cyber Monday across our retail customers in the Fashion and Apparel segment. The analysis was written in SQL. Here were the questions […]

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Why don’t sales associates get commissions for online sales? They should. Here’s how to set it up.

Why don’t sales associates get commissions for web sales? They should. I worked summers and weekends with the catering services department of Purdue Memorial Union. Usually, I’d be a server or a runner at weddings or large celebratory ceremonies. Occasionally I’d get to work private breakfast events with made-to-order omelet services. The alumni were generous […]

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What is a data scientist and why would brands and retailers need one?

Ask different people what a data scientist is and you get different responses depending on their interests and agendas. A word cloud for data scientists would be a grab bag of terms like – Hadoop, Spark, MongoDB, clusters, Big Data, machine learning, artificial intelligence, predictive modeling, decision trees, neural networks, self-organizing maps, chatbots etc. The […]

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