Ken Flashcards
What are the 3 steps to implement Big Data into companies?
- Sement
→create customer segments + define competetive prioties - Allign
→integrate processes across the SC + syncing supply and demand - Measure
→measure segement with strategically aligned KPIs
→ KPIs should:
-measure degree of alignment
-refine the segmentation
-realign competitive priorities
How does the maturity of companies evolve while leveraging big data?
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
What influence has outsourcing on big data usage in SC?
-companies outsouce their analytic capability
→ problem: risks and dependencies (data security, data leaking)
What are some barries of Big data implentation?
-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
Could you provide some big data applications along the supply chain (Marketing, logistics, operations, and sourcing)?
- *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