Download - Spend (Supply Chain) Analytics Day I

Transcript
Page 1: Spend (Supply Chain) Analytics Day I

Spend (Supply Chain) Analytics Day I

Page 2: Spend (Supply Chain) Analytics Day I

Why do Companies have a Procurement Department ?

In conclusion, our major contract expires tomorrow, we have no idea what we want, and no knowledge of the market. It is time to pass this to the procurement team.

Page 3: Spend (Supply Chain) Analytics Day I

Let’s buy some Cauliflower

Page 4: Spend (Supply Chain) Analytics Day I

Why you end up paying more?

A farmer is paid this amount to buy a kg of cauliflower

`2.50Cauliflower is sold double

the rate at APMC after adding transport charges

`5.00Cost in retail markets

`20.00

Page 5: Spend (Supply Chain) Analytics Day I

Spend Analytics…

An average company can save 11% with a modern spend analysis system.

~Aberdeen Group

Page 6: Spend (Supply Chain) Analytics Day I

Spend Analytics: The Whole Spectrum

1. Spend analysis

5. Contract management

2. Supplier assessment

3. Supplier identification

4. Sourcing

6. Procurement

7. Order fulfillment

8. Invoicing, reconciliation and payment

Page 7: Spend (Supply Chain) Analytics Day I

Spend Analytics…

Top 6 Reasonsfor Spend Analytics

Page 8: Spend (Supply Chain) Analytics Day I

1 Know exactly how much does your company spend with the supplier before negotiating a contract.

Page 9: Spend (Supply Chain) Analytics Day I

2 Negotiate with the final legal entity not the subsidiary.

Page 10: Spend (Supply Chain) Analytics Day I

I C R A

Credit Rating Management Consulting

Software & Analytics BPO

ICRA Techno Analytics Ltd

100% wholly owned

Gro

up

Com

pani

es

ICRA Sapphire Inc.

BPA Technologies Inc

Final Legal Entity …

Page 11: Spend (Supply Chain) Analytics Day I

Adatis(Italy)90% Owned

Adatis(Canada)60% Owned

Adatis(US)90% Owned

Adatis(Germany)45% Owned

Adatis(UK)

Adatis(France)50% Owned

Adatis(Switzerland)50% Owned

Adatis(Canada)40% Owned

Final Legal Entity …

Page 12: Spend (Supply Chain) Analytics Day I

How to obtain the Final Legal Entity …

Bureau Van Dyk Dun and Bradstreet

DUNS NumberHow Clean is your

data?

Page 13: Spend (Supply Chain) Analytics Day I

3 Concentrate your effort on the large suppliers

Page 14: Spend (Supply Chain) Analytics Day I

4 Categorize your spend to know where to go

Page 15: Spend (Supply Chain) Analytics Day I

Categorize the data …

What will be the category? UNSPSC: United Nations Standard Products and Services

Code• Segment or Market Sector• Family or Market Sub Sector• Class or Commodity Group• Commodity

How to categorization ? (Create Rules?) ? ? ?

Page 16: Spend (Supply Chain) Analytics Day I

5 Who buys What from Whom and When and Where

Page 17: Spend (Supply Chain) Analytics Day I

Who

Buy What?

Result of Filtering by Cost Center

Result of Filtering by

Supplier

Result of Filtering by Supplier &

Cost Center

Result of Filtering by Supplier,

Cost Center & commodity

From Whom?

Supplier

Cos

t Cen

ter

Commodity

Page 18: Spend (Supply Chain) Analytics Day I

6 Stop Maverick Spend

Maverick:

Someone who is independent and not a follower

Page 20: Spend (Supply Chain) Analytics Day I

The excel file contains a list of suppliers for Bad Idea Company.

Cleanse the data (PDF provided). Use a distance algorithm (like Levenshtein) to

calculate the distance between the suppliers. Identify the suppliers that can be similar by selecting

suppliers whose distance are less than a threshold (use a threshold around 5).

Verify from Google that these are not independent entities.

Your project should contain the following: List of similar suppliers and their distances. R Code or Rapid Miner Process

Project (30 marks: 15 fixed + 15 relative) . . .