Analysts Corner

JANUARY 11, 2025

The process of prescriptive analysis [own elaboration] As an example, a logistics company uses prescriptive analytics to optimize delivery routes. Amazon: Leveraged big data to personalize shopping experiences and enhance logistics, driving sales and customer satisfaction [10].

Big Data 130

Big Data Business Analysis Business Analysis Predictive Analytics 130

Tableau

FEBRUARY 7, 2022

Athlete logistics. Executing an Olympic and Paralympic Games is a massive logistical challenge, and Tableau has helped streamline the information required to make it happen.” - Team USA. As Team USA describes it, the journey to becoming a fully-realized digital HQ has led to an even more ambitious vision for the future.

Digital 102

Digital Logistics Vision Visualization 102

Tableau

FEBRUARY 7, 2022

Athlete logistics. Executing an Olympic and Paralympic Games is a massive logistical challenge, and Tableau has helped streamline the information required to make it happen.” - Team USA. As Team USA describes it, the journey to becoming a fully-realized digital HQ has led to an even more ambitious vision for the future.

Digital 98

Digital Logistics Vision Visualization 98

Domo

FEBRUARY 26, 2025

Industries, including finance and healthcare, use agentic AI agents to optimize workflows, improve customer experiences, and drive innovation. Example: A logistics company implementing agentic AI for route optimization might first test it on a single delivery hub before expanding it across multiple regions.

Supply Chain 59

Supply Chain Healthcare Monitoring Banking 59

Astera

MAY 6, 2024

This helps them understand customer behavior and pinpoint buying patterns, allowing them to tailor offerings, improve customer experiences, and build brand loyalty. Whether it’s supply chain logistics, manufacturing, or service delivery, these tools optimize operations, reduce costs, and enhance productivity.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Sisense

MAY 27, 2021

Spending on AI is forecast to double over the span of four years, growing from just over $50 billion in 2020 to a whopping $110 billion in 2024. For retailers specifically, AI will prove to be game-changing in three key areas: Improving quality and speed of decisions, enhancing the customer experience, and streamlining operations.

Retail 52

Retail Supply Chain Artificial Intelligence Customer Experience 52