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?
Project portfolio management tools are becoming more widespread and more powerful, but are we fully leveraging them as well as we might? There could be some exciting things possible if we combine a PPM database with a BI tool.
Inevitably, the intersection of big data and the idea of the quantified self (the hot movement of the moment) is going to show up in project management. Think of it as the “quantified project” where just about everything about a project can be measured, reported on and managed. Arguably, someone may be trying to invent this very thing right now. But should they?
Lessons learned is still a bit of a joke in many organizations, a process that is paid lip service without any expectation that any of the lessons will even be shared. Can we improve things with a little science? One PM believes that we need to address two specific elements...
Guiding a business or a project often comes down to making intelligent data-driven systematic decisions. Being able to answer four questions will help.
Successful BI initiatives take more than just people, technology and fancy tools. They require proper levels of engagement of BI teams with key stakeholders; coming to grips with legacy system shortcomings and realities; and a strategically aligned commitment.
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.
Let’s take a broad look at how business intelligence is used in project management to improve performance and focus efforts on activities that garner positive results--focusing on the two phases that get you the quickest results.
You might have heard about the “Big Data” craze. The rush is on, and like Cloud Computing it’s gaining momentum fast. So what is all the fuss about? What exactly is Big Data and why should we care?
For a company and its associates to act responsibly and minimize exposure of data on mobile devices, the following actions need to be considered as a component of a collaborative agreement.
This Microsoft Project Plan will walk you through the ins and outs of putting together a business question assessment to analyze the data you need for your data warehouse.
Need to plan a data warehouse project? This synopsis outlines the steps, deliverables and team roles for strategizing, architecting, designing and planning the implementation of a data warehouse.
This list and overview of common schedule risks will help you maintain vigilance against pitfalls that can interrupt, stop or ruin your software development project.
Map the transformation of the data elements from source system tables to data warehouse target tables.
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.
A handy spreadsheet for recording Data Warehouse QA issues, from data transformation to report generation problems.
Find greater profits using offshore outsourcing, and use this project plan to make sure it's done right--and on time.
There's a lot to consider when selecting a Data Warehouse toolset. Use this comprehensive tool evaluation matrix to guide your final selection.
This Microsoft Project plan can serve as a guide to evaluating vendor tools for your data warehouse. It includes a Gantt chart schedule and cost analysis for the complete tool selection process.
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.
This checklist will help you assess your user and technical requirements for accuracy, completeness and quality.
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.
Here is a solid outline of a plan for testing individual development components in context with the overall system.