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Data Visualization: Take a deep, cleansing breath and ask yourself, what does it really mean?
Data Visualization: Take a deep, cleansing breath and ask yourself, what does it really mean?
Professional Edition for business analysts, project managers responsible for eliciting and documenting requirements for software.
As Kanban is applied to longer projects up to three months in duration, the principles of visibility, flow, variability and improvement are still in full effect, but challenges must be taken into account, including larger teams and higher-level sponsors, increased uncertainty and complexity, and, by extension, greater organizational pressures.
One of the greatest challenges facing today's fast-paced businesses is synthesizing vast amounts of data into actionable knowledge. Enter the burgeoning field of information visualization software.
New name and branding reflect on-demand project portfolio management provider’s goal to expand presence in enterprise collaboration space.

Government contractor Johnston McLamb shares details about the benefits of pursuing process improvement via a more rigorous CMMI rating. Such a trend is spreading among smaller IT firms worldwide, according to CMMI program manager Mike Phillips.
From Gartner PPM Summit
Research Vice President and Gartner Fellow Bill Rosser presents this session on how PPM can leverage its experience in the broad view of project selection, resource management and consistency of architecture, with added verification of delivered benefits.
Efforts of winners have evolved into the BA Skills Center, which acts as resource for more than 100 business analysts at Merck.
Results from a survey offer business analysts, project managers, developers and other project stakeholders information to help transform the way they produce and manage software requirements.
An increasing number of Mac-based project management applications now have mature feature sets, increased flexibility and attractive usability that rival their Windows-based counterparts. Here’s one senior IT pro’s review of five Mac apps gaining notice in the project world.
A wide variety of technology solutions and services are available to help organizations implement, customize and improve their project portfolio management processes. Here is our August roundup of recent updates and announcements from CA, Daptiv, Innotas, Oracle Primavera, Planview, PowerSteering, Rally and others.
Any project can run into unforeseen risks. Managing these risks can take some time, but it is well spent. An Agile approach can help because the tenets of risk management are already built into the process. Here are some tips and considerations.
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.
Here’s our December 2010 roundup of the latest technology solutions and services for project leaders, teams and organizations, including an application to leverage SharePoint … Agile offerings for distributed environments and portfolio-level planning … mobile capabilities for PPM … a free project management tool for small teams ... and more.
Context matters when applying a Kanban approach to your projects. In the second installment of our series, we look at the interplay of four Kanban tenets — visibility, flow, variability and improvement — when leading smaller projects with shorter durations.
All organizations face significant challenges in planning for and managing their IT portfolios. These challenges can be addressed, in part, by the use of systematic processes for selecting and evaluating IT investments. Based on a framework created for federal agencies, here are some key components to consider including in your project portfolio-scoring model.
Here’s our February 2011 roundup of the latest technology solutions for project leaders, teams and organizations, including social-based requirements management … security-focused PPM … enterprise-level Agile integration … software lifecycle management … and more.
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.
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.
Do you need a clear, understandable and consensus-driven logical data model for a client data warehouse implementation? This sample Logical Data Model Project Plan (in Word format) outlines the information you will need to include in your plan.
Here's a reusable project plan for developing a Data Warehouse logical data model, an important architectural component of the overall data warehouse.
Your clients are probably curious about the elusive "metadata" and knows it only as "data about data". Show them via a simple diagram how metadata, the reference information about the business data in the warehouse, fits into the data warehouse structure.
This detailed plan illustrates the steps you would take to identify, cleanse and migrate data from legacy or interfacing systems to the Siebel application and successfully integrate it into Siebel.
Stay clean and secure with this data cleansing project plan.
Stay clean and secure with this data cleansing project plan.
Map the transformation of the data elements from source system tables to data warehouse target tables.
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.
What data should you keep in a Data Warehouse and why? This form helps you identify the needed data and its associated characteristics in relation to your business requirements.
What is a data warehouse, how do I use it, and what's in it for me? How should you instruct and inform your data warehouse users on these subjects? Here is an informative paper on the inner workings of a data warehouse that was built to perform category management analysis for a retail grocery chain.
Collecting data from a cross section of sources that include both primary and secondary data resources--and doing so in a timely manner--are the three foundational pieces of a good process. It is important to take all of them into account because without even one of these in place, your intelligence will come crashing down like a house of cards.
Stolen from Real Life (a data warehouse development project for a waste water treatment management system), this Microsoft Project plan takes you through the construction of a complete data warehouse from start to finish.
Your client has asked you to analyze his business and present him with a roadmap for making the business data available via a data warehouse. This Microsoft Project plan presents a two-month business analysis project to achieve that goal.
If you've been tasked to build a data model for a Data Warehouse development project, check out this Microsoft Project plan.
A handy spreadsheet for recording Data Warehouse QA issues, from data transformation to report generation problems.
What is the best way to get data from the legacy system(s) into the new system? Design your conversion routines to organize the process.
Oops! isn't what your client wants to hear at the eleventh hour in the delivery cycle. Use this sample QA plan to verify that the data warehouse (or data mart) has been designed and built correctly before it undergoes user acceptance testing.
Kanban is gaining popularity in project management circles as more teams relate to its principles of visualizing workflow, limiting work in progress and balancing demand. Here, a self-described “pragmatic Agilist” explains what drew him to Kanban, where it delivers benefits, and how it differs from other agile methods.
Graphics in BI? That is, like, so nineties, or is it?
Need help selecting a Data Warehouse toolset? You must consider many factors regarding vendor service and reputation, tool functionality and tool quality against your technical and business requirements when selecting Data Warehouse construction and implementation tools. Let this matrix guide your selection.
Getting all of your contact information into a Siebel application can be long and tedious--or it can take about 20 minutes, if you know what you're doing. This document is specific to Siebel Enterprise Applications a CRM software developed by Siebel Systems. It outlines the steps and procedures to be followed while converting contact data from ACT to Siebel Enterprise Application.
Getting all of your contact information into a Siebel application can be long and tedious--or it can take about 20 minutes, if you know what you're doing. This document is specific to Siebel Enterprise Applications. It outlines the steps and procedures to be followed while converting contact data from Goldmine to Siebel Enterprise Application.
When planning a sprint, many factors will influence what works best, particularly the experience of the team in self-organizing. Here are some guidelines that can help project leaders focus the planning effort — without taking it over — and a few techniques to engage everyone and establish a shared vision.
This super-comprehensive project plan in Microsoft Word is chock full of information on how to plan and manage a data warehouse project. It covers the gamut in DW project planning and control activities and will teach you a lot about data warehouse architectures, tools, risk management, development activities, quality management and the like. Enjoy the read!
This excellent Microsoft Project plan will help you implement a complete life cycle project to design and build a data warehouse.
Migrating the data from interfacing systems into your Siebel application is no small task. This migration must be carefully planned. Here is a Microsoft Project plan you can use as a template to conduct your data migration tasks.
This project plan will help you navigate yoru way through software process measurement.
How do you design an effective GUI so that the user control widgets are correctly mapped to the data elements? With explicit specifications, of course. Here's a well-constructed example.
An evaluation of relational database systems determines the most suitable engine for a data warehouse. This report is an example of a comparative analysis of data warehouse database tools.
Why build a data warehouse? Be sure you have good justification in the form of a solid business case before taking the plunge.
This example will help you put in place logical as well as physical database design standards for building data warehouses using Business Objects.