From data processing centers in the '60s to PC networks in the '80s to this century's Cloud, the systems for managing large amounts of data are coming full circle. Read up on the latest trend: Mobile Data Centers.
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Making good business decisions while managing a portfolio often comes down to gathering the proper data and creating useful business intelligence. Here's some advice on four critical stages of the process.
Concerns about security are everywhere, and an evil virus attack undoubtedly lurks in the future. But what about attacks from within? Be sure to take key precautions and take nothing for granted.
The adage “A picture is worth a thousand words” is one that can aptly be put to the test when attempting to convey technical complexities and nuances. Communicating these issues through visual means can increase the perception and appreciation of the challenges and rewards that a project can bring.
You may have designed your warehouse with scientific precision, but a number of factors such as the data loading process, query patterns and unexpected data volume growth can lead to performance degradation.
Corporations should strongly consider standards around data warehousing on x86 platforms...read on to find out why.
Project management and data share a sometimes uncomfortable relationship, but there are plenty of opportunities for harmony. Data--and more specifically the ability to manage that data effectively--can be a powerful tool to assist project managers.
Defining what PPM means in the context of an organization isn't easy. One thing is for sure: Portfolio management is a complex management undertaking that continuously challenges even the most seasoned professionals. So the question that often arises is: What makes this so complex?
Sometimes the corporate priorities change unexpectedly, and the projects that were approved at the start of the year are no longer appropriate for what the organization is trying to achieve. How can an organization cope?
If we ask a PMO leader why their PMO exists, the answer is frequently at odds with what is evidenced by the work they perform. Why is that, and what can we do about it?