• No results found

From Big Data to Value

N/A
N/A
Protected

Academic year: 2021

Share "From Big Data to Value"

Copied!
15
0
0

Loading.... (view fulltext now)

Full text

(1)

From Big Data

to Value

The Power of Master Data Management 2.0

Sergio Juarez

SVP Elemica EMEA & LATAM Reveal Oct 2014

(2)

Why  Now?  

What  To  Do?  

How  To  Do  It?  

What’s  Next?

 

Agenda

(3)

Today’s Topic

Defini6on      

Master  Data  Management  (MDM)  combines  Data  

Governance  Prac6ces  with  SoCware  Tools  in  an  effort  to   help  organiza6ons  achieve  a  "single  version  of  the  truth"  

(4)
(5)

Market Trends

1.  MDM  in  the  Cloud:  

 

“On-­‐premises  MDM  solu6ons  are  increasingly  

integrated  with  soCware-­‐as-­‐a-­‐service  applica6ons,   and  we  see  MDM  technology  star6ng  to  be  deployed   in  the  cloud  for  line-­‐of-­‐business  purposes  and  specific   business  ini6a6ves.”  

Source:  John  Radcliffe,  Research  Vice  President  at   Gartner  

1.  MDM  in  the  Cloud  

2.  Maturing  SoCware  &  Technology:    

 

The  sales  of  MDM  soCware  grows  at  21%  annually   es6mated  to  an  $  2,8  bn  in  2014.    

Source:  Gartner   1.  MDM  in  the  Cloud  

2.  Maturing  SoCware  &  Technology  

3.  Rise  of  Informa6on  Flow:  

 

Worldwide  informa6on  volume  is  growing  at  a   minimum  rate  of  59  percent  annually    

Sources:  Gartner  &  The  Data  Management  Associa6on   (DAMA)  

1.  MDM  in  the  Cloud  

2.  Maturing  SoCware  &  Technology  

3.  Rise  of  Informa6on  Flow  

4.  Acknowledgement  of  the  Importance  of  Data:  

 

By  2015,  25%  of  large  global  organiza6ons  will  have   appointed  Chief  Data  Officers  (CDO):  as  Big  Data  is   changing  the  way  organiza6ons  do  business  there  is   both  opportunity  and  risk  in  informa6on.  

Source:  Debra  Logan,  Research  Vice  President  at   Gartner  

1.  MDM  in  the  Cloud  

2.  Maturing  SoCware  &  Technology  

3.  Rise  of  Informa6on  Flow  

4.  Acknowledgement  of  the  Importance  of  Data  

5.  Costs  of  Data  Pollu6on:    

 

Approximately  15-­‐25%  of  opera6ng  expense  of  almost   all  organiza6ons  are  wasted  due  to  data  quality  issues.    

Source:  The  Data  Management  Associa6on  (DAMA)  

1.  MDM  in  the  Cloud  

2.  Maturing  SoCware  &  Technology  

3.  Rise  of  Informa6on  Flow  

4.  Acknowledgement  of  the  Importance  of  Data  

5.  Costs  of  Data  Pollu6on  

6.  Corporate  Data  Silos:  

 

Data  is  the  lifeblood  of  every  digital  organiza6on,  but   businesses  are  struggling  to  access,  share,    and  analyze   much  of  the  data  they  already  have.  Through  2015,  

85%  of  Fortune  500  organiza6ons  will  be  unable  to   exploit  Big  Data  for  compe66ve  advantage.    

Source:  Gartner                                

(6)
(7)

Value Enablers

Supply  of  Goods  &  Services   Supplier Mgt Strategy Development Governance  &   Organisa6onal   Development   Category  Planning   Sourcing IT   People   DATA  

Managing the Enablers

Supply  Planning  &  Control   Demand Mgt   V a l u e     1   3   4  

Policies  &  Processes  lock  in  Value  

Years  

Sourcing  &  Procurement  Value  Genera9on Supply  Chain  Organiza9onal  Pyramid

Dema nd  Da ta  In sigh t     En ab le s   Va lu e  

Sourcing  Creates  Value    

eSourcing  Accelerates  Value    

 

These Enablers are prerequisites for success…

Sourcing won’t create value without Demand Data Insight.

eProcurement     Sustains  Value    

(8)

Many Value Areas of Improved Master Data

8  

Your  Customers  and   Suppliers:  

“The  use  of  industry   standard  classifica6ons   makes  us  all  speaking  the   same  language  which  allows  

instant  recogni6on  of  parts   and  services,  eg  for  price  

quota6ons.”   Your  Engineers:  

“Our  produc6vity   went  up  with  15%   due  to  the  increased  

accuracy  and   availability  of    parts,   while  we  managed  to  

reduce  down  6me   with  2%!”  

“Our  Inventory   Costs  went  down   by  an  average  8%   as  we  improved  

stock  insight,   removed  dead  

stock  and   duplicates.”   Your  Procurement:  

“We  managed  to  bring   costs  down  as  we   improved  on  Demand  

Insight,  product   descrip6ons  to  tender   with,    alterna6ve  products  

for  lower  costs  or  higher   quality,  and  we  easily   iden6fy  suppliers  to  buy  

from!”  

(9)
(10)

Common Data Issues

           Iden6fied,  verified  and  amended  

 Duplicated  Items   1                Standardized  Automa6on      Inconsistent  Naming   Conven6ons   3  

Include  different  dic6onaries     and  language  packs  

 Different  Languages  across                mul6ple  Regions  

4  

             Linking  (meta)  data  enriches  and   classifies  available  data  

 Poor  or  Non  Existent  Part                Descrip6ons  

5  

           Cleansed  Data  can  be  fed  back  into            your  ERP  (SAP,  Oracle  etc)  

 Different  copies  of  Master  Data  

6  

Common  DATA  ISSUES   Poten9al  SOLUTIONS  

Replace  with  Technical  Data     or  use  bemer  wording/defini6ons  

 Descrip6ons  include  Commercial   Data  or  don’t  fit  audience  

2  

(11)

How to Organize?

ERP

Add on Tool with connector

With  this  func6onality  your  data  goes   through  a  process  to  become  more:  

1. Complete:    

Required  amributes  are  available  for  all   needs  and  users,  including  suppliers,   engineers,  foreign  countries.    

2. Consistent:  

Naming  conven6ons  are  applied   consistently.  

3. Conformed:  

Industry  standards  and  classifica6ons   are  applied  correctly.  

4. Accurate:  

Data  free  of  typo’s  and  misleading   abbrevia6ons.  

The  Data  Cleansing  Tool  is  connected  to  your   ERP  and  brings  the  new  func6onality.    

On- or Offline Knowledge

(12)

Initial Cleansing Process Product   Iden9fica9on   1   2   3   4   Standardiza9on   &   Enrichment   Language   Transla9on   Duplicate   Removal   1. Interpret  Data;   including   Abbrevia6ons,   Typos  etc   2. Match   Parameters     3. Score  Outcome  

as  to  Funnel   Manual  

Workforce  to   Problem  Areas  

1. Enrich  Data  with  

External  Sources  like   Supplier  Catalogues  

2. Apply  Naming  

Conven6ons    

3. Replace  Commercial  

Data  with  Technical   Data  

4. Classify  to  Deepest  

Category  of  Various   Standards  

5. Separate  Vendors  

from  Manufacturers  

1. Recode  Fields  for  

different  Target   Groups  like   Suppliers,   Engineers,   Procurement   2. Transla6on  into   Different   Languages   12   1. Iden6fica6on  of   Duplicate  Parts   2. Iden6fica6on  of  

Similar  Parts  eg   OE  vs   Commodity,  or   Single  Items  vs   Kits   3. Insight  on   Volumes  for   Duplicate  Parts,   Stock  Value  and   Store  Loca6ons  

(13)
(14)

Next Steps

14  

1.  Get  Your  Priori6es  Straight:  

Focus  on:  

•  Short  Term  vs    Long  Term?  

•  Manual  vs    Automated  Cleansing?  

•  Outsourced  vs  in-­‐house?  

•  Category  Items  vs  

All  Supply  Chain  Items?   •  Reduce  Pain  Points  vs    

Increase  Value  Areas?  

        Value   Streams   As  is   Time  line  

 THINK  BIG    start  small    Scale  Fast    

To     be   1.  Get  Your  Priori6es  Straight  

2.  Scope  the  Ini6a6ve:    

•  Which  Categories  And  Geographical  Loca6ons  Are  In  Scope?  

•  Which  Languages  And  Classifica6on  Standards  To  

Implement?  

•  Which  Domain  Strategy  Shall  Be  Considered?  

•  Which  Tools  And  Processes  Are  Affected?  

   

1.  Get  Your  Priori6es  Straight  

2.  Scope  the  Ini6a6ve    

3.  Assess  Opportunity:  

 

Experience  shows  the  following  metrics  could  be  achieved:   KPI  Potential  Savings  Typical  Savings

 Inventory  cost  reduction   5-­‐15%   8% Procurement  cost  reduction   2-­‐10%   5% Equipment  downtime  reduction   2-­‐5%   3% Supply  chain  &  storage  cost  reduction   8-­‐12%   10% Increased  procurement  &  engineering  worker  productivity   8-­‐20%   15% Reduced  Accounting  Compliance  Risk   2-­‐5%   3%

1.  Get  your  priori6es  straight  

2.  Scope  the  Ini6a6ve    

3.  Assess  Opportunity    

4.  Select  &  Implement  

 

 For  today  you  can:    

a)  Request  a  Demo  to  Elemica  

b)  Amend  the  Breakout  Session  ‘Inside  view  on  

Master  Data  mgt  Tooling’    

(15)

Thank You

For Your

References

Related documents

The primary goal of this study was to form an initial assessment of the impact on the amine solvent from coal combustion flue gas contaminants and the potential higher oxygen

The elected officials were interviewed, and their responses were compared to the objectives of the study, the literature reviewed, the case study of the Department of

• Display the dependent member • Click the Edit Member Record button • Click Admin to enable the contract fields • Click the Set Responsible Member button.. • Enter

Okuguchi (1993) examines two models of duopoly with product differentiation and with only labour-managed firms, in one of which two firms’ strategies are outputs (labour-managed

 Bring compute to the data: Run Bring compute to the data: Run Bring compute to the data: Run Bring compute to the data: Run MapReduce MapReduce MapReduce* on MapReduce * on *

Jessica Baker    Program Analyst  Curt Malthouse     DoD Inspector General Detailee  Captain Tina Benivegna, USAF     DCMA Detailee  Gary Matthews 

• This RS draws on detailed research from Frost & Sullivan’s security experts across Asia-Pacific (APAC), Europe, the Middle East, and Africa (EMEA), Latin America (LATAM),

For example, Australian ITDMs made better financial models (49 percent) their top driver; Brazilian ITDMs put lack of internal resources (44 percent) first; German ITDMs said