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Practical Insights (Blog)

Remaining Agnostic to Technology, Fueled By Advancing eProcurement Automation, Can Unlock Value and Enhance Company Performance

Nathanael Powrie, EVP Data Analytics, discusses how harnessing new technological advancements powered by developments in IoT, combined with advanced analytics, drives companies to leverage smart data for smart procurement.


Topics: Strategic Procurement Data Analytics supply chain optimization

How Data Analytics Helps PE Firms Accelerate Value Creation at Due Diligence

Mark McTigue, EVP Private Equity and Jamie Loder, VP Industry Partner, Private Equity, Europe, discuss why private equity firms are increasingly deploying data analytics to help them buy right and buy smart in a challenging market.

Topics: Private Equity Private Equity Consulting Data Analytics operational due diligence

Feeding Future Demands: Using Data Analytics to Drive Down Food Waste

Now more than ever, buyers and suppliers are under pressure to cut down on waste in order to reduce costs, improve return on investment, manage resource scarcity and reduce the environmental impact of operations. Joseph Esteves, VP Industry Partner and Nathanael Powrie, VP Data Analytics at Maine Pointe discuss the vital role food waste management plays in the future of supply chains.

A recent United Nations report, How to Feed the World in 2050, found that food production may need to increase up to 70% by 2050 to feed the 9.7 billion people who will live on Earth by that time. Reducing waste and ensuring healthy and sustainable products are becoming hot topics in a bid to protect our planet and its inhabitants. Meeting these challenges will necessitate extensive changes to the traditional food supply chain. This will place buyers and suppliers under increasing pressure to cut down on waste to lower costs, improve return on investment, manage resource scarcity and reduce the environmental impact of operations.

Topics: Food & Beverage Data Analytics

Operational Data Analytics - Three Ways to Unlock Value

Achieving the great promise of Industry 4.0 and the industrial internet of things (IIoT) requires changes to current methods of production, processing, and manufacturing. Many industries are already undergoing a reindustrialization to improve competitiveness. They recognize that Industry 4.0 will be mostly categorized using high-tech and big data. Yet, as the big data explosion continues unabated, research indicates that many executives are struggling to extract value and drive differentiation through data analytics and IIoT. At best, companies have captured just a third of the potential value. So, what’s standing in their way?
Topics: Data Analytics Cross-functional transformation