A project manager is expected to be like a doctor in diagnosing and treating the ills of a project. Like a doctor, the project manager should be the first to know that the project is straying from the ability to deliver on the needed outcomes or seeing that the original outcomes aren’t really going to help the business. At this point, it is up to the project manager to crystallize a conversation with the project team and project leadership to first understand the problem, understand the possible options and routes to solution, and act as the dispassionate observer, facilitating agreement on the correct option and direction. Continue reading Thoughts on Project Management: Driving Group Decisions
Managing scope is the key to any project’s success. Everyone looks for scope creep and tries to guard against it. What happens when the words we’re both saying describe a concept or outcome that are the same but mean something different to each of us? What if there is more complexity involved in an apparently “known” word? Even when we think we are starting in the same place, sometimes we aren’t. How can a project manager be more explicit in describing the scope of a project even when using words everybody “knows”? Continue reading Thoughts on Project Management: 3 Tips for Preventing Scope Creep
Over the past few years, capabilities for visualizing data have expanded greatly – and just as the Internet has democratized the exchange of information, cutting-edge visualization tools are democratizing the ability to represent data graphically. But democratization doesn’t guarantee quality; creating a good visualization that conveys information clearly, concisely, and in context requires a lot more than the ability to create a graph with a few clicks.
So, what differentiates a great visualization from a mediocre one? The measure of a good visualization is how well it communicates information quickly to someone who hasn’t previously seen the viz. Here are six visualization best practices to help you take your presentation of information up a notch. Continue reading 6 Best Practices for Data Visualization
The concept that, more than any other variable, has put the “big” in Big Data, has to be the notion of uncontexted, unstructured, or non-traditional data and the potential it represents. The term “non-traditional” when applied to data generally refers to data that does not easily lend itself to be captured in spreadsheets, tables, or relational databases. Some examples of this type of data include non-relational database data, such as documents, email, instant messaging(IM)/texting, and sensor data, and “signal” data like blogs and social media.
But non-traditional data typically can’t be captured with the same old tools or analyzed with the same old methods. Applying MDM to non-traditional data raises a different set of challenges than when dealing with traditional data. Although you will be asking some of the same questions as you would with traditional data, you may need to use a different approach or involve a completely new perspective to realize Big Data’s potential. Continue reading 5 Best Practices for Applying MDM to Non-Traditional Data
A comprehensive Data Governance strategy is the best way for an organization to ensure that its data is accessible, accurate, and secure. However, even the best Data Governance implementations can be derailed by misunderstandings and lack of buy-in. Continue reading Five Indispensable Best Practices for Communicating Your Data Governance Strategy