Most of us know the resistance that can arise when presenting new ideas or creative thoughts to address age-old problems. Data can provide the mechanism for change, empowering you with the confidence to challenge the status quo. Research also suggests that a data-driven approach to decision making offers competitive advantages as well.
As a project manager, have you been asked to lead a mission-critical big data project for your organization? To help you prepare, here are some of the essentials skills required to successfully manage a big data project.
We live in an increasingly quantified world. It would strongly appear that this won't change much in the near future, but this creates a number of challenges--many of which aren't necessarily obvious. A significant challenge is simply what we often do with the data that we have.
A Big Data project can come to a screeching halt without the proper expertise, and the expertise can be difficult to find today. Be sure to take the correct steps early on to ensure this type of project is successful.
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.
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.
How much money and time is wasted by inefficient use of the tools that you already have available? The benefits of database storage go far beyond current projects, and project management tools have become far more powerful. Are you harnessing this resource?
Keeping the data center in house is becoming an increasingly expensive and risk-laden endeavor. Outsourcing the data center can ignite all sorts of fear, uncertainty and doubt. So which is better? Specifically, which is better for your organization? Perhaps reflecting on the tradeoff between each can help you choose a path that is prudent and wise.
Extending ourselves through online profiles and social channels, we are exposing more of our individuality--and essentially building a virtual persona that others can recognize and use for a number of purposes. When it comes to identity and security, do you feel safe or paranoid?
Big Data has become the latest craze within the IT community, revolutionizing business intelligence capabilities. But what is it really--and how will it impact our community? Here are some tips for the PM to evolve with this emerging trend.
There is no silver bullet that will allow us to remove all uncertainty, but we can apply some business intelligence practices to the concept of annual planning to at least increase our confidence levels and reduce the risks around the decisions that we make.
In an initial business intelligence project, you run the risk of failure from loss of the initiative’s momentum due to inadequate support from business leaders. What tactics are needed to defeat this loss of momentum?
How do you select the best data extraction/transformation toolset for your data warehouse? Evaluate features, functionality, vendor reputation... the works. Follow the example set by this robust tool evaluation.
Even though you've built the perfect data warehouse, it's better to be safe than sorry if something goes wrong during its operation and you need to restore the original data files. Take the time to document your backup and recovery procedures, as in this example.
Mission-critical projects need to be well-justified, with clear goals that can be referenced throughout the life of the project. This business case template offers an excellent approach to goal-setting and a way to communicate those goals effectively.
Code is a developer's signature on a software project, and not all developers play by the rules of good coding standards. Ensure that your development team leaves a coding legacy that not only implements the application at hand but can be understood by others and maintained during future development cycles.
Are you putting together a data warehouse? This Microsoft Project plan will help you keep tabs on all the complex stages and steps involved in building decision support systems and a knowledge-based applications architecture and environment.