A FIRESIDE CHAT
RETAIL'S DATA CHALLENGES AND
HOW TO OVERCOME THEM
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WHAT'S THERE FOR YOU
Achieve Quick Wins in Data Automation: Tips for Retailers
The fireside chat between Michael Presley from SAS and Igor Jakubiak from Algomine, addresses persistent challenges in retail data management, automation, and analytics.
Find out how predictive analytics can guide retailers in navigating price wars and supply chain disruptions by accurately forecasting demand and optimizing stock levels.
Watch to analyze successful case studies, such as automotive stock optimization, assortment planning, and price-point demand forecasting.
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Watch This Insightful Conversation to Explore
-> Why is data quality still the biggest hurdle on the path to data-driven decision-making?
-> How can organizations invest in Machine Learning smartly and within budget?
-> Where should you start, and how should you evolve?
-> Why could delaying ML investments be a critical misstep?
-> What real-world business examples showcase the power of advanced analytics?
