Data Management and Architecture: Services Overview

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It is always nice to read on Data and how it serves as an important key in every functionality.Without data there is no information.How to manage this data to be able to provide a technology that is worth a million?It requires investments and putting the processes and people in place to manage all the aspects of data life cycle.

Organizations are tending to realize the importance of data management and architecture as it is required for making decisions,carrying out activities and creating models that help build business processes.There are a few questions to ponder upon:

• Have you received tonnes of data and has it all been in the same format?
• Have you encountered a situation where you refer to a term and someone refers to it differently?
• Have you seen organizations use the same terminology for their data models,Do other people from various units comprehend it?

To be able to manage data ,the data architecture should provide a structure,holistic approach that delivers offering, support clients in managing data.Data Management helps in reducing inherent risks with data quality,improves productivity,improves customer satisfaction and performance.

Here is Accenture's Data Management & Architecture into following domains:

Data Governance	The human organization to manage and oversee data
Data Structure	The definition of data
Data Architecture	The storage, movement and retrieval of data
Master Data Management	The maintenance of consistent core data throughout an enterprise and with business partners
Metadata	The management of data definitions and information about data
Data Quality	The accuracy, completeness and legal compliance of data
Data Security	The protection of data and the authorization to use it

I think these six capabilities form a solid framework though I think every other company might have something better.Does any other company manage data with maturity?This may not be the ultimate to manage data but I feel this gives a clear view on what to expect in creating a Data model to be able to manage and architect the organizations information well.