Sales Management Customer Relationship Human Resources Business Performance BI & Data Quality IT Tools & Vendors

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

Avoid Pure MOLAP

Pure MOLAP limits your view and reporting only to the level of aggregates. Today's business needs demand a drill down to the transaction level details. Unless you have a significantly cheap and short term option to purchase, avoid pure MOLAP.
 
This page of 'Principles and Rules' is linked to:  Data Analysis/OLAP, BI platform Tools Evaluation, Data Warehousing, BI business intelligence end-to-end view,



MOLAP essentially provides you an aggregate view of the data whereby you can generate the analytics that you need. However, if you want to drill down to the transaction level detail, it will not allow you to do so. For example, if you are looking at the sales offices, which had less than 10% conversion of the sales leads, and you want to drill down to the list of big-ticket leads, which did not materialize, you will not be able to do so as MOLAP holds only aggregate level of data.

At the same time, if you use HOLAP (a hybrid of MOLAP and ROLAP), it will provide you that capability. Even ROLAP provides you the same capability, however its method of internally managing the storage and processing is different.


Quick Feedback- Was this information helpful ?
Relevant Links to this page
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 → 
 
Back
 
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
Additional Channels
Principles & Rules
Free Templates
Glossary
Key Performance Indicators

Most Popular Zones with list of pages crossing 25000 hits  →→→ 
Maximising Sales Performance
Sales Channel Management System
Sales Compensation Data Management
Sales Leads Generation through Events
Sales productivity
Sales Campaign SWOT analysis
Read more...
  Customer Relationship Management
Customer Segmentation Parameters
Customer Service and Support - Strategic Role
Customer Value and Profitability-Overview
Drivers for Customer Satisfaction & Retention
Customer Service and Support Overview
Read more...
  Human Resources & Leadership
Roles and Level based Competency Segregation
Act with Decisiveness
Empower Front-line Employees
Developing Leaders- Few Leadership Traits
Deliver Results
Read more...
 
 
Business Performance & Planning
External Info Assessment Report
Review Session should stay focused
Business Objectives Drill Down
Shifting the mind-set to leading Indicators- KPIs
3-4 hours in reviewing a scorecard.
Read more...
  Business Intelligence & Data Quality
Metadata Architecture
Data Quality Gaps Root Cause Analysis
Exception Analysis
Business Metadata for IT
Drill (horizontal) and Cross (horizontal) Navigation
Read more...
  IT Vendors & Tools Management
Vendor Delivery Evaluation Governance
OLAP Sever Database Tuning
Design & Analysis support and Wizards
Single point vendor needs to be cost-effective
Vendor Management strength Evaluation
Read more...