CTOvision

MARCH 9, 2016

Supermarkets are vying to win over shoppers as the supermarket war escalates with the arrival of cut price alternatives in the US, that have already gobbled up market share from the big brand players in Europe. Enhanced data analytics enable the retailers to make rapid buying decisions to enhance the customer experience.

Retail 97

Retail Analytics Big Data Analysis 97

CTOvision

NOVEMBER 21, 2014

The video at this link and embedded below features Paytronix President Andrew Robbins in a discussion of big data. They help their clients serve their customers through data insights. Data migration to Cloudera Hadoop Distribution to improve storage and ETL capabilities. Strong data integration tools. Value Added.

Big Data 105

Big Data Analysis Storage Programming 105

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

CTOvision

OCTOBER 22, 2014

Puma Energy is the fuels retailing arm of Swiss-based … Read more on Ferret. Cloudera, a provider of Apache Hadoop, has penned a deal to help Mastercard comply with the Payment Card Industry’s data security standard. Pentaho, Cloudera Executives See Bigger Data Opportunities. Mastercard and Cloudera in PCI pact.

Technical Review 108

Technical Review Technology Software Review 3D 108

Cloudera

JANUARY 5, 2021

Now that we have established tailored demand, we need to figure out how to fulfill demand though a robust and capable supply chain, let’s drive into building an agile retail supply chain. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant.

Agile 91

Agile Retail Analytics Enterprise 91

Capgemini

JUNE 3, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. New capabilities will open up revenue generating opportunities and directions to drive your business.

Infrastructure 52

Infrastructure Data Retail Analytics 52

The Kini Group

APRIL 3, 2017

One of the more unpleasant and disappointing aspects of big data is how often it’s rendered completely useless. The truth is that big data is useless without value-driving applications. You need analytics to make sense of everything. And analytics can never be a one-off project.

Big Data 40

Big Data Analytics Data Technical Review 40