Big Data

This is the first book on prescriptive analytics that's written specifically for business leaders and explains the transformational value prescriptive brings when it's in the hands of business leaders rather than Data Scientists or IT leaders.

Industry 4.0 represents the ultimate end game of big data, connected devices and similar technologies.

Create a modern supply chain that is transparent, intelligent and predictive, establish greater visibility into supply chain data and processes and by leveraging cognitive technologies, supply chain organizations can both predict and mitigate disruptions and risks and deliver more value to the business.

The proliferation of connected devices has transformed DCs from opaque boxes with insufficient visibility of inventory to a transparent hub that offers detailed updates of order status.

As Big Data’s popularity continues to grow, it’s important that a business can handle the incoming information and disseminate it to the right channels - whether that’s employees across the office, or across the country at branch locations or satellite offices.

This paper details how Informatica’s CLAIRE engine - or Cloud-scale AI-powered Real-time Engine - which uses artificial intelligence and machine-learning techniques powered by enterprise-wide data and metadata, significantly boosts the productivity of all managers and users of data across an organization.

Commissioned by Capgemini and Informatica, this report assesses the business value and benefits that enterprises are seeking and realizing from Big Data.

Graeme Thompson, senior vice president and chief information officer of Informatica talks with Andrew McIntyre, VP of Technology for the Chicago Cubs, together they explain how the franchise is using data to re-imagine processes and strategies - both on the field and within the business.

This white paper details a four-step process to continuous cost savings and explores how data saved in a Transportation Management System can be turned into information managers can act upon to improve supply chain performance.

With Hurricane Harvey making landfall entire warehouses full of products, as well as significant links in the global supply chain, could be affected, this raises the issue of supply chain risk once again and what role analytics has in creating managerial insights into such events.

What many companies don’t realize is that with effective management of big data, actionable information - and the ability to use it to make informed transportation and logistics decisions - is readily available.

In this white paper, we’ll explain what the term “big data” means to the typical supply chain, introduce effective strategies for managing and leveraging that data, show how one grocer is using predictive analytics to harness its own big data, and explain the “first steps” that companies need to take down the path to effective management of their big data.

Watson, Wimbledon’s first AI tennis pundit, has been searching for insight into what makes a great Wimbledon champion by studying sixteen singles champions and eight doubles pairs, along with statistical analysis of 53.7 million data points, it has studied 22 years of sports commentary, read over 11.2 million words, considered the perspective of tennis experts and coaches, all told, 28 years of Wimbledon data.

Infor has announced Coleman, an enterprise-grade, industry-specific AI platform that takes mission-critical business data from Infor CloudSuite, coupled with the supplier, logistics, and finance data from the GT Nexus Commerce Network, and analyzes it with the computing power of a hyper scale public cloud.

Conversations with hundreds of business leaders reveal nine ways that they are, and are not, adapting to the advanced analytics, big data, and machine learning revolution.

Big data’s potential just keeps growing, taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions, this paper helps organizational leaders understand the potential impact of data and analytics.

Big hype surrounded big data years ago, there was one missing piece to the puzzle though ― big decisions.

This report takes a close look at one omni-channel dependent industry vertical: B2B CPG manufacturers to show how leading companies use price optimization and other strategies across all channels to improve sales effectiveness, boost financail results, and foster customer loyalty.

Everyone’s talking about analytics, but supply chain managers want to know if they can drive innovation in their operations, HP’s analytics team explains how.

Demand-driven manufacturing (DDM) is an approach to manufacturing where production is based on actual demand rather than forecasts.