
3 Steps to Prevent Scope Creep
3 Steps to prevent Scope Creep. The project continuously starts requiring additional time and work, and before you know it the entire...

What is Data Quality?
Data Quality involves standardization and enrichment of data and is essential to the reliability of the data analytics that drives...

Master Data Management
Master Data Management (MDM) encompasses the processes, governance, tools and standards that are involved in centralizing any amount of...

Implementing a Data warehouse solution
A data warehouse is a single repository of organization wide data (at least theoretically), composed of multiple data marts each being...
The Importance of Structure in Project Management and Datawarehouse projects
Project Management for Data warehouse Projects – How to implement structure and strategies to optimize progress and minimize C.O.W....

How is Project Management different for data warehouse projects?
Here are a few factors: 1. Data warehouse (DW) is a different "animal" They have to be designed, developed and supported to grow. A data...

Project Management for Big Data
Project Management in the world of “Big Data” is a delicate dance involving maximizing assets, anticipating and solving problems,...

Modern Datawarehousing implementation techniques and strategies
Traditionally, data warehousing and data analytics analyzed data that was transactional, structured and from similar sources and...

The Basics of SCRUM
SCRUM is an agile methodology typically used to manage a software development project. It is a more flexible and holistic approach than...

Return on Investment (ROI) - Online Marketing
Ways to calculate ROI for online marketing One of the many benefits of online marketing is that it enables more accurate calculation of...