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Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline
Principles and Rules Listing Page

Go sequentially in performance management

Performance Management initiatives typically have 3 stages. Implementing these stages in sequential manner improve the chances of results.
 
This page of 'Principles and Rules' is linked to:  Customer Relationship, Sales & Distribution, Focus & Money-Machine, BI business intelligence end-to-end view, 'Executable' Strategy, Execution Scorecard, Data Warehousing, Data Analysis/OLAP, BI platform Tools Evaluation,

Here are the three stages to achieve performance management capabilities:

  • Reporting performance (using performance reporting tools)
  • Performance Management and Control
  • Improving Performance.

While you can target to have all of the above to be driven in parallel, the chances of success go-up if you have a sequential approach. This means that firstly you focus on having the right data and visualization in place. Once you have reliable data, you should focus on how you will manage and control performance, by having right discussions and review process built around the performance reports. Once the process of performance reviews and change management(updating targets, thresh-holds, managing exceptions, escalation mechanisms etc)is in place, one should go for improving performance (resource alignment, incentives, strategy review, re-organization)

This does not mean that you have to wait (the work has to go on) before one stage reaches perfection. It's a matter of where you are focusing as a management initiative.


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Principles & Rules → Data Warehouse application is not limited to Analytics → Principles & Rules → Store as much detailed and granular data in data warehouse as possible → Principles & Rules → Data Normalization is not the best approach in Dimensional modeling → Principles & Rules → Keep the same names and definitions for all data elements → Principles & Rules → You cannot have a super-flexible Data warehouse → Principles & Rules → Dimensional models can be extensible and scalable → Principles & Rules → Data Marts should be ideally based upon a business process and not on a department. → Principles & Rules → Business Intelligence competency groups should be well-linked with business → Practice Techniques → Aggregation Queries on slowly changing Dimensions → Practice Techniques → Documenting your data-integration system → Principles & Rules → For a Data Warehouse/Data-Mart solution, analyze well, but be decisive → Principles & Rules → Maintain a trail of the key dimensional elements from source system to loaded → Principles & Rules → Conformed dimensions are must for cross-drilling → Practice Techniques → Checksum Approach for identifying the changed records from source systems → Principles & Rules → Go sequentially in performance management → Principles & Rules → Commentary is must in a Scorecard → Principles & Rules → Prioritize the metrics in scorecard to start maximizing its potential → Principles & Rules → Customer and shareholder is the best test for a Scorecard → Principles & Rules → Scorecard should not only be pure business metrics → Principles & Rules → Be Trusted first, Respected later and Loved last → Principles & Rules → Don't spend more than 3-4 hours in a month in reviewing a scorecard. → Principles & Rules → Performance Review Session should stay focused → Principles & Rules → Business scorecard review can be typically with monthly frequency → Principles & Rules → Scorecards need manual finish → Principles & Rules → Decision Management Process- An enabler to a Science and an Art → 
 
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Relevant links to this page
Data Warehouse application is not limited to Analytics
Store as much detailed and granular data in data warehouse as possible
Data Normalization is not the best approach in Dimensional modeling
Keep the same names and definitions for all data elements
You cannot have a super-flexible Data warehouse
Dimensional models can be extensible and scalable
Data Marts should be ideally based upon a business process and not on a department.
Business Intelligence competency groups should be well-linked with business
Aggregation Queries on slowly changing Dimensions
Documenting your data-integration system
For a Data Warehouse/Data-Mart solution, analyze well, but be decisive
Maintain a trail of the key dimensional elements from source system to loaded
Conformed dimensions are must for cross-drilling
Checksum Approach for identifying the changed records from source systems
Go sequentially in performance management
Commentary is must in a Scorecard
Prioritize the metrics in scorecard to start maximizing its potential
Customer and shareholder is the best test for a Scorecard
Scorecard should not only be pure business metrics
Be Trusted first, Respected later and Loved last
Don't spend more than 3-4 hours in a month in reviewing a scorecard.
Performance Review Session should stay focused
Business scorecard review can be typically with monthly frequency
Scorecards need manual finish
Decision Management Process- An enabler to a Science and an Art
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