Big Data

The pressing need for agile and resilient decision-making has made AI essential for supply chain management; as a result, most executives are no longer asking whether to invest, but where to invest.

Today’s harsh reality is that supply chain practices in healthcare seriously lag those in other industries.

Executives say that cultural challenges, not technological ones, represent the biggest impediment around data initiatives.

The Journey to Becoming Data-Driven: Executive Summary of Findings and a Progress Report on the State of Corporate Data Initiatives with a Foreword by Thomas H. Davenport and Randy Bean.

With modern-day analytic automation, challenges, such as those presented by the COVID-19 pandemic, can be solved through the unification of data, process, and people.

Here are the steps you can take to digitize your unstructured data.

Salesforce.com, which makes America’s dominant customer resource management software, agreed to buy Tableau Software Inc. in an all-stock deal valued at $15.3 billion that it said will help give customers more ways to analyze big data.

Dynamic Yield's artificial intelligence technology will allow McDonald's to link the predictive nature of their customer demand all the way through to stock levels in the restaurants and communicate data back down through the supply chain.

This white paper details how companies can leverage the cloud for predictive and actionable supply network operations, integrated financial measurement, and integrated business planning.

This white paper details how Tapestry Solutions, Inc. has addressed the IoT challenges with its Enterprise Sensor Integration (ESI) technology, ESI is an innovative integration platform that connects disparate sensor technologies through a standard interface, seamlessly connecting people, data, and processes.

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.