Data Architecture Guiding Principles

on Tuesday, 01 January 2013. Posted in Blog, Business Intelligence

 

 
These guiding principles provide direction but also serve as criteria for evaluating proposed solutions and opportunities:

 

One version of the truth

Create a single set of data used for analytic reporting which is correct and consistent across the enterprise. Look at MDM emphasize on your critical data 

 

 

Work from a single logical vision

Build a single logical BI model/architecture that is agreed upon and provides a common goal for building or modifying physical systems

 

 

Standardize on a set of BI tools

Minimize costs by avoiding duplicate licensing and environments
Create a consistent experience at all levels (tool is not important SAP, Cognos, Oracle, BO,STANDARDIZE)

 

 

Maximize flexibility with modular architecture

Minimize specific tool dependency issues
Reduce future development and maintenance costs significantly

 

 

Build, Deploy and Refine in iterations

Achieve incremental benefits
Accelerate business adoption through reduced development time

 

 

Base data transfer and storage on reporting needs

Avoid the transfer and storage of data that does not meet a current or planned analytic reporting need
Meet business needs for data timeliness

 

 
 

Comments (1)

  • Giancarlo

    Giancarlo

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