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Future of supply chain analytics is visual and predictive

Predictive analytics will bring value to users enabling them to leverage data at the point of taking decisions

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Soma Tah
New Update
HPC

BANGALORE, INDIA: According to a study by Qlik, the majority of today’s supply chain analytics are “looking in the rearview mirror” when it comes to evaluating performance, but realize the potential value of adopting advanced analytics.

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More than 40 percent of respondents said they are still almost exclusively backward looking when it comes to data analysis.

However the vast majority expressed the belief that predictive analytics would bring value to users enabling them to leverage data at the point of decision.

The study revealed that while companies are realizing the value and urgency of implementing advanced analytics, few feel that they are where they need to be.

When evaluating their own current capabilities generally less than ten percent felt that they had high levels of user system flexibility and empowerment, data visualization and supply chain risk management capabilities.

“Our employees don’t need another tool that puts a new face on the same old data. Instead, they need visualizations that are intuitive and allow users to freely explore the underlying data,” said Bill Momsen, Senior Director of Supply Chain Operations at DynCorp International.

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