Ken Flashcards

1
Q

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

A
  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
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2
Q

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

A

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

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3
Q

What influence has outsourcing on big data usage in SC?

A

-companies outsouce their analytic capability

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

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4
Q

What are some barries of Big data implentation?

A

-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

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5
Q

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

A
  • *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
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