Upravljanje matičnih podatkov : integracija podatkov o strankah

Šorli, Valter (author), Mahnič, Viljan (mentor)

V magistrskem delu se ukvarjamo s problematiko upravljanja matičnih podatkov o strankah. Organizacije se pri svojem delovanju pogosto srečujejo z nekonsistentnimi podatki, ki so razpršeni po različnih silosnih aplikacijah. Ker silosi živijo vsak svoje življenje, so matični podatki v njih medsebojno neusklajeni, poslovni uporabniki pa pogosto ne vedo, katera kopija odraža zadnje veljavno stanje. Z željo po dvigu kakovosti matičnih podatkov o strankah, je potrebno vzpostaviti sistem za njihovo upravljanje. Namen dela je opisati in predstaviti lastnosti takšnih sistemov. Uveljavile so se tri metode uporabe sistema za upravljanje: sodelovalna, operativna in analitična, ki poleg štirih načinov implementacije, opredeljujejo sistem za upravljanje matičnih podatkov o strankah. V delu obravnavamo vse štiri načine implementacije, ki bistveno določajo lastnosti vozlišča MDM. Opisano je delovanje registrskega, usklajevalnega, kombiniranega in transakcijskega načina, izvedena pa je tudi njihova medsebojna primerjava. Predstavljena je metoda za ugotavljanje stopnje zrelosti upravljanja matičnih podatkov, ki organizaciji služi kot merilo kakovosti trenutne rešitve in predlaga nadaljnje korake za izboljšave. Projekt vzpostavitve sistema za upravljanje je izjemno obsežen in drag proces, ki zaradi poseganja v poslovne procese organizacije s sabo prinaša tudi določena tveganja. V delu predlagamo metodologijo razvoja in vodenja projekta, podane pa so tudi usmeritve za vodstveno skupino, ki bo projekt vodila. Na trgu se pojavlja veliko ponudnikov rešitev za upravljanje matičnih podatkov o strankah. Da organizacija lažje izbere potencialne kandidate in zoži seznam ponudnikov, predstavljamo izsledke dveh analitskih hiš, ki periodično spremljata ponudbo na segmentu upravljanja matičnih podatkov o strankah. Za vodilnih pet ponudnikov navajamo glavne prednosti in slabosti njihovih rešitev. V delu so na enem mestu zbrane informacije, ki organizaciji koristijo pri vpeljavi sistema za upravljanje matičnih podatkov o strankah.

• Language: Slovenian
• Keywords: upravljanje matičnih podatkov, integracija podatkov o strankah, vodenje podatkov, kvaliteta podatkov, računalništvo, magisteriji
• Work type: Master's thesis
• Typology: 2.09 - Master's Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Publisher: [V. Šorli]
• Year: 2014
• Number of pages: 85 str.
• PID: 20.500.12556/RUL-68826
• UDC: 004.65:658.89(043.2)
• COBISS.SI-ID: 1536162755
• Publication date in RUL: 10.07.2015

Secondary language

• Language: English
• Title: Master data management – customer data integration

Abstract

In this Master’s thesis we deal with the problem of managing customer master data. Organizations are often faced with inconsistent data, which are scattered throughout the various silos applications. Since silos are living their own lives, the master data in them remains uncoordinated and business users often do not know which copy reflects the latest valid state. With a desire to raise the quality of customer master data, it is necessary to establish a system to manage them. The purpose of this work is to present and describe the properties of such systems. We introduce three usage methods of systems for management: collaborative, operational and analytical, which in addition to the four modes of implementation, define a system for managing customer master data. Considered are all four methods of implementation that significantly determine the properties of MDM hub. We describe the operation of the registry, consolidation, transactional and coexistence hub, and perform their mutual comparison. A method for determining the degree of maturity of master data management is presented. An organization can use it as a measure of the quality of its current solution and for seeking of further steps for improvement. The project of establishing a system of governance is extremely extensive and expensive process which, due to interference with the business processes of the organization, involves certain risks. In this work, we propose an appropriate methodology for development and project management, additionally there are given some guidelines for management team that will lead the project. On the market there are many providers of customer master data management solutions. To narrow the list of bidders and facilitate the organization selection, we present the results of two analytical houses, which periodically monitor the supply of the customer master data management segment. For five of the leading providers we sets out the main advantages and disadvantages of their solutions. Information that can be beneficial for an organization which is establishing a system for customer master data management, are in this work gathered on one place.

• Keywords: master data management, customer data integration, data governance, data quality, computer science, master's degree