Question

What are challenges for project management of a data warehouse project vs. a traditional IT project? Provide a peer-reviewed journal article.

Answer 1

User Expectation
As more and more information gets added to a data warehouse, management systems have to dig deeper to find and analyze it. This usually means that users expect very refined results from any analysis that occurs. However, it is possible that performance can decrease as data volume increases, leading to reduced speed and efficiency. Manage the expectations of your team so that they aren’t frustrated when this occurs.

Information Driven Analysis
One of the most important aspects of successful data analysis is spending enough time on understanding and documenting your business needs. Because data warehousing is driven by the information you provide, you should map key concepts completely during the early stages of deployment. According to Information Quality Solutions, the better the initial business information model is, the shorter and cheaper your implementation process will be.

Data Structuring and Systems Optimization
The correct processing of data requires structuring it in a way that makes sense for your future operations. As you add more and more information to your warehouse, structuring data becomes increasingly difficult and can slow down the process significantly. In addition, it will become difficult for the system manager to qualify the data for analytics. In terms of systems optimization, it is important to carefully design and configure data analysis tools. This will provide better results, making development decisions easier.

Choosing the Right Type of Warehouse
There is a variety of warehouse types available on the market today, which can make choosing one difficult. Your two basic options are pre-assembled and customized warehouses. Choosing a custom warehouse will save you time building a warehouse from various operational databases, but pre-assembled warehouses save time on initial configuration. Which one you choose will depend on your business model and specific goals.

Balancing Resources
To receive the most benefit from data warehouse deployment, most businesses choose to allow multiple departments to access the system. This can add stress to the warehouse and decrease efficiency. However, implementing access control and security measures can help you balance the usefulness and performance of warehouse systems.

Data Governance and Master Data
One mistake that some businesses make is a lack of investment in data governance and master data. Because information is one of your most important assets, it should be closely monitored. Implementing data governance allows you to clearly define ownership and ensures that shared data is both consistent and accurate.