Program implementation Enterprise data management
1 program implementation
1.1 stakeholder requirements
1.2 policies , procedures
1.3 data definitions , tagging
1.4 platform requirements
program implementation
implementation of edm program encompasses many processes – of need coordinated throughout organization , managed while maintaining operational continuity. below of major components of edm implementation should given consideration:
stakeholder requirements
edm requires alignment among multiple stakeholders (at right level of authority) need understand , support edm objectives. edm begins thorough understanding of requirements of end users , organization whole. managing stakeholder requirements critical, , ongoing, process based in understanding of workflow, data dependencies , tolerance of organization operational disruption. many organizations use formal processes such service level agreements specify requirements , establish edm program objectives.
policies , procedures
effective edm includes creation, documentation , enforcement of operating policies , procedures associated change management, (i.e. data model, business glossary, master data shared domains, data cleansing , normalization), data stewardship, security constraints , dependency rules. in many cases, these policies , procedures documented first time part of edm initiative.
data definitions , tagging
one of core challenges associated edm ability compare data obtained multiple internal , external sources. in many circumstances, these sources use inconsistent terms , definitions describe data content – making hard compare data, hard automate business processes, hard feed complex applications , hard exchange data. results in difficult process of data mapping , cross-referencing. normalization of terms , definitions @ data attribute level referred metadata component of edm , essential prerequisite effective data management.
platform requirements
even though edm fundamentally data content challenge, there core technology dimension must addressed. organizations need have functional storage platform, comprehensive data model , robust messaging infrastructure. must able integrate data applications , deal challenges of existing (i.e. legacy) technology infrastructure. building platform or partnering established technology provider on how data gets stored , integrated business applications essential component of edm process.
enterprise data management essential business requirement has emerged priority many organizations. objective confidence , trust in data glue holds business strategy together.
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