different business face different data management challenges

8/7/2019 different business face different data management challenges

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It begins as data, is transformed intoinformation, and becomes knowledge.


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(Source: (n.d.). Retrieved March 6, 2011, from Business Dictionary.com:http://www.businessdictionary.com/definition/manufacturing.html)

Definition of Manufacturing

Definition of Manufacturing

Includes all steps necessary to convert rawmaterials , components , or parts into finishedgoods that meet a customer's expectations orspecifications . Manufacturing commonly

employs a man-machine setup with division of labor in a large scale production .


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Data Management Challenges


C ustomerrequirementsdelivered to

product 4 airbags

Lotustechnology2 years free

service

Defining market srequirements

Define modelfeatures

Designing andcreate productstructure

Producing andmanage operations

Spare parts

arketing ProductPlanningEngineeringand styling Production Service

Different stage requires different data which need to be managed in an integrated andsystematic manner to provide accurate information at the right time to various stakeholders.In addition data which is occurring in distribution, usage, and maintenance and end-of-lifestages are usually hard to acquire and in most cases lost(Yang, X.,

oore, P. R., Wong, C .-B., Pu, J.-S., & Chong, S. K. (2007). Product lifecycle information acquisition and management for consumerproducts. Industrial Management & Data Vol. 107 No. 7 , 936-953.)


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Thousands of different products

Ten of thousands of customers

All records are changing every time such as product name, specification etc


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Focusing on data governance , enterpriseinformation management , enterprise datamodeling , data administration , andmaster metadata management


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Data Management ChallengesProject teams had fewer than 24 months to study the complexities of the system and to convert

their old legacy systems.Project teams were made up of technicians who had neither the time nor knowledge of the

disciplines, methods, policies, procedures, and infrastructure necessary for true data integration.Initiatives were nothing more than traditional system conversions with no cross-organizational

integration activities and no data administration principles applied during the conversion process.Many organizations complained about the ERP reports, which were of poor quality and sometimes

downright unusable.(Sources: Moss, L. T. (2007). C ritical Success Factors for Master Data Management. CUTTER IT JOUR NAL, 7-12 Vol 20 No 9.)

How the businessconsultant describeit

How customerexplainedrequirements

How the projectleader understoodit

How the analystDesign it

How the programmerWrote it

What the Beta testersreceived

What operationinstalled

How it was supported How it performedunder load

What customer pay


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Approach to Address ChallengesApproach to Address Challenges

Manufacturer must have not only information technology application but a consistent onemaster data management across the whole product life cycle .Sources: SAP Solution. (2007). S AP. Retrieved February 12, 2012, from http://www.sap.com/industries/automotive/index.epx

hat is aster ata?

Master data is the data that has been cleansed, rationalized and integrated into anenterprise-wide system.

And often, master data is mentioned as the single version of truthMaster data management is actually a newest trend in data management to solve

manufacturers data issues with regards to complex materials and easily reconfiguredwhile ensuring quality, reliability and consistency by concentrating on business processes,data quality standardization and integration of information systemsSources: Silvola, R., Jaaskelainen, O., Kropsu-Vehkapera, H., & Haapasalo, H. (2010). Managing one master data

challenges and preconditions. Industrial Management & Data , 146-162.

Th ank You Very Muc h .

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different business face different data management challenges