Manufacturing

Advanced Analytics | Analytics | Data Management | Data Visualization
Charlie Chase 2
Misnomers regarding outliers and their usefulness in statistical modeling

Outliers provide much-needed insights into the actual relationships that influence the demand for products in the marketplace. They are particularly useful when modeling consumer behavior where abnormalities are common occurrences or unforeseen disruptions that impact consumer demand. But why do demand planners cleanse out outliers, when many are not really

Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
Can demand planning save your supply chain? Find out with this free trial

The past 20 months of disruptions caused by COVID-19 have been a wake-up call for retailers and consumer goods companies. Unpredictable market trends have caused havoc with categories, brands and products making it harder to predict supply requirements. All of these changes have given rise to the need for consumption

Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
What does it take to become an analytics-driven demand planning organization?

The social and economic impact of COVID-19 has dramatically affected supply chains and demand planning across all industries. Then there’s the Amazon effect, which has led to sky-high consumer expectations of the ordering and delivery process. Demand planners for retailers and consumer goods companies have quickly realized they have no

Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
Has your company considered a managed application service for demand planning?

The need for agile, accurate demand planning has never been greater. When considering migrating your demand management application to a cloud-native solution, you might experience platform management challenges ranging from lacking the resources needed to oversee application operations, to manipulating maintenance tasks that may distract from growing the business. Why

Advanced Analytics | Analytics | Artificial Intelligence | Cloud | Internet of Things | Machine Learning
Charlie Chase 0
Is your demand management process stuck in the 1990s?

Demand management concepts are now over 30 years old. The first use of the term "demand management" surfaced in the commercial sector in the late 1980s and early 1990s. Before that, the focus was on a more siloed approach to demand forecasting and planning that was manual and used simple

Analytics
Michael Guilfoyle 0
Avoiding the digital transformation technology trap

In a world increasingly characterized by digital economies and disruption, every market disturbance exponentially widens the business agility gap between the less digitally evolved and those companies that have demonstrated innovation leadership through digital transformation. For those that are not transforming with urgency, the negative consequences will become compounded to

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