Ken

Question 1

What are the 3 steps to implement Big Data into companies?

Answer 1

1. Sement
   →create customer segments + define competetive prioties
2. Allign
   →integrate processes across the SC + syncing supply and demand
3. Measure
   →measure segement with strategically aligned KPIs
   → KPIs should:
   -measure degree of alignment
   -refine the segmentation
   -realign competitive priorities

Question 2

How does the maturity of companies evolve while leveraging big data?

Answer 2

Stage 1: Data Structuring
→ clean data/first data
Stage 2: Data Availability
→right data when and where needed
Stage 3: Basic Analytics
→ correlation, descripitve statistics, basic analystics
Stage 4: Advanced Analytics
→ predictive, automated algorithms

Question 3

What influence has outsourcing on big data usage in SC?

Answer 3

-companies outsouce their analytic capability

→ problem: risks and dependencies (data security, data leaking)

Question 4

What are some barries of Big data implentation?

Answer 4

-needle in a haystack
→ random choosing of analytics

-island of excellence
→ companies select to specific applications that are not designed for their SC

-measurement muntiae:
→ too much data

-analysis paralysis:
→ again to much data

Question 5

Could you provide some big data applications along the supply chain (Marketing, logistics, operations, and sourcing)?

Answer 5

• *Marketing:**
• tracking personal behavior to adjust there ads
• mirco segmentation
• price opitmatizion
• *Logistics:**
• enhance productiviy (fuel safe, good routes)
• tracking events (weather) to make adjustments

Could you provide some big data applications along the supply chain (Marketing, logistics, operations, and sourcing)

Operations:
-inventory management
→ optimazation of stock levels

• *Sourcing:**
• analytics help to identidy right mix of joint replenishment and single sourcing + support supplier negotiations with customer data