World Codification Forum 2017

Data Accuracy and Relevance

Guy LANGENAEKEN, MScEng

Belgian NCB

May 24th, 2017

1

Table of contents

A. Introduction

B. Data accuracy

1. Definition

2. Cost of poor data quality

3. Getting the data

4. Creation of NSNs

5. Maintenance of NSNs

6. Assessment overall data quality NCS

C.Data relevance

1. Initial goal of NCS

2. Evolution of customer needs

2

A. Introduction

3

It w

ill n

ot

be

all

abo

ut

…

B. Data accuracy

4

1. D

efin

itio

n Figure courtesy of AUS NCB

Data accuracy: part of data quality

Data quality: is data fit for purpose ?

Purpose codification ?

Support the warfighter.

How to measure effectiveness support ?

How to detect inaccurate data ?

B. Data accuracy

5

2. C

ost p

oo

r da

ta q

ualit

y

Cost of poor data quality ?

• Not being able to find right item of supply => duplication

• Inventories too big (purchase cost, warehouse cost, ...)

• Efforts needed to find errors

• Efforts needed to correct errors

• Image loss

B. Data accuracy

6

3. G

ettin

g th

e d

ata

Link to procurement process:

• Contractual Codification Clause

• Commonality codification data and material management data

B. Data accuracy

7

3. G

ettin

g th

e d

ata

Danger of stovepiping:

Contractual Codification Clause

(STANAG 4177)

Procurement contracts

In service support contracts

Codification Materiel management

• Ask several times, use once;

• Risk of inconsistencies;

• Costly to Industry & Customer

B. Data accuracy

8

3. G

ettin

g th

e d

ata

Additional observations:

• Most common problems encountered ?

• Customer view: most effective way to get the right data ?

• Industry view: biggest hurdle to deliver the right data ?

B. Data accuracy

9

4. C

reation

of

NS

Ns

HR aspect:

• Initial training codifiers => national responsibility, international possibilities

7 Codification courses (BEL / FRA);

• E-learning (FRA / KOR);

NCS college;

Training on demand by FRA NCB;

• Refresher training codifiers

Codification software:

• Prevent introduction erroneous data => enforcement business rules

• Update of software based on observations

B. Data accuracy

10

5. M

ain

ten

an

ce

of N

SN

s

• Different tools

Maintenance

• Different actors

• Different priorities

B. Data accuracy

11

5. M

ain

ten

an

ce

of N

SN

s

MIS – Management Information System

B. Data accuracy

12

5. M

ain

ten

an

ce

of N

SN

s

• Provides NCB users possibility to request maintenance on NSNs;

OMT – Online Maintenance Tool

• Provides governmental organization’s users possibility to report

directly discrepancies on NSN data;

• Provides private company users possibility to report discrepancies on

their own reference data;

• Operational since summer 2016

B. Data accuracy

13

5. M

ain

ten

an

ce

of N

SN

s

OMT – Online Maintenance Tool

B. Data accuracy

14

5. M

ain

ten

an

ce

of N

SN

s

INC / NSC / MRC managed by USA

OCT – Online Collaboration Tool

Changes ? => International Collaboration

NATO Form AC/135-No 28A

• Not user friendly

• Time consuming

• Not used very much: 51 new INCs

Jan 15 – Feb 17 total 35.000 INCs

• Need for new tool => OCT

B. Data accuracy

15

6. A

sse

ssm

en

t d

ata

qu

alit

y N

CS

• MIS: respect ACodP-1 rules

Overall data quality NCS: many aspects => some examples

• Tailored analysis: number of items of production per NSN

Your ideas ?

B. Data accuracy

16

6. A

sse

ssm

en

t d

ata

qu

alit

y N

CS

MIS: respect ACodP-1 rules

B. Data accuracy

17

6. A

sse

ssm

en

t d

ata

qu

alit

y N

CS

Tailored analysis: number of items of production per NSN for a given Nation

C. Data relevance

18

Extract of the “History of codification”

1. In

itia

l g

oa

l N

CS

C. Data relevance

19

Annex A Chapter II ACodP-1 / NMCRL:

NSN

• NATO code for standardized fuels, lubricants and associated products

• Anatomical Therapeutic Chemical (ATC) classification system

• Universal Medical Device Nomenclature System (UMDNS)

• Reportable Item Code (RIC)

• United Nations Standard Products and Services Code (UNSPSC)

• Common Procurement Vocabulary (CPV)

• Customs code

• Demil code

• Classification of Waste

• Global Medical Device Nomenclature (GMDN)

NCAGE

• IDN (National Identification Number)

• DUNS2. E

vo

lutio

n c

usto

me

r n

ee

ds

C. Data relevance

20

NMCRL Customer survey 2015

2. E

vo

lutio

n c

usto

me

r n

ee

ds

Images (1) / pictures (1)

C. Data relevance

21

2. E

vo

lutio

n c

usto

me

r n

ee

ds

Questions ?

22

End o

f w

ork

sh

op