Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Master data management: A study of challenges and success factors at NCC
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

As enterprises continue to grow, as do the quantity of data and the complexity of storing thedata in meaningful ways, for which companies can later capitalize on (e.g. using analyticalsystems). For enterprises with an international presence it is common that a customer may alsobe a customer and supplier across borders and business areas. This complexity has created anumber of challenges in the ways many enterprises has previously managed their data and isespecially important to addresses for some of the enterprises most critical data entities (e.g.customer, supplier, chart of accounts, etc.) also known as master data. Master data management(MDM) is an umbrella term for a set of technology independent disciplines focusing on masterdata with the common goal of helping enterprises to achieve a single version of the truth for itsmaster entities, which in today’s enterprises are usually spread across heterogeneous datasources which has historically made it difficult for some enterprise to achieve a collective viewon, for example, who their customers are and if they are really meeting the market demands.The aim of this thesis to understand what challenges enterprises faces when attempting toimplement MDM with a primary focus on the governance aspect. An empirical study wasconducted in collaboration with NCC AB consisting of interviews with NCC employees,external consultants and literature study. The data obtained from the empirical study where thenused as basis for constructing a set of causal graphs to depict the issues identified and the causalfactors impacting them; along with recommendations obtained from the external consultants onhow to address some of these issues. The purpose is to deduce a number of success factors onhow to overcome these challenges in order to NCC to succeed with their MDM initiative.Results shows that MDM is still a somewhat new concept and where literature on the subject ismany times insufficient in details making it hard to understand how to begin. Furthermore, frominterviews with NCC employees three dominating problem areas were identified Common datadefinition, Success change initiative and Data quality, suggesting that most challenges involvedin implementing MDM is not technology related but rather organizational and governancerelated. It is imperative that the business is the one that drives the efforts within MDM initiativeas it is the business who best knows the problems they are facing, and how better managementof data can improve their ability to realise their business objectives. Furthermore, there needs tobe an appointed governance organization which will be responsible for instituting appropriatepolicies, metrics and roles with clearly defined areas of responsibility in order to instil a sense ofaccountability for the master entities across business areas.

Place, publisher, year, edition, pages
2015. , 60 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-169230OAI: oai:DiVA.org:kth-169230DiVA: diva2:820629
Examiners
Available from: 2015-06-12 Created: 2015-06-12 Last updated: 2015-06-12Bibliographically approved

Open Access in DiVA

fulltext(1556 kB)515 downloads
File information
File name FULLTEXT01.pdfFile size 1556 kBChecksum SHA-512
9f97446536b3da30bf4ea574a491e5a165e53ba902bedda762940df134a37bc5781f77d0a192536603f8d6a3002f1d6c439d0e3c68cda94ca54e5cd2b84d88f2
Type fulltextMimetype application/pdf

By organisation
Industrial Information and Control Systems
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 515 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 401 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf