Get yourself trained on Data Flow Diagrams with this Online Training Data Flow Diagrams – Simply Put!.
Online Training Data Flow Diagrams – Simply Put!
Learn about Data Flow Diagrams (DFDs), Context-level DFDs, and Rigorous Physical Process Models (RPPM), what they are, why they are important, and who can use them. Use Data Flow Diagrams to Visualize WorkflowsGetting from someone’s explanations of how they do their job to usable and accurate workflow descriptions can be a daunting proposition. Understanding current workflows, however, is critical to defining a future IT solution. Just as critical is understanding how data is created and consumed throughout the workflow.To truly understand problems inherent in a business process or workflow, you need to help the practitioners visualize what they do. Visualization lets them identify better ways of working that remove current restrictions.Data Flow Diagrams are phenomenal tools for visualization. Working with business experts, you can help them identify problems and inefficiencies they dont even know they have. These are not people problems; they are process problems. Understanding when and how to create and use Data Flow Diagrams will help you discover and capture the requirements for improving the use of information technology.Why Should You Take this Course?In this 90 minute video course, you will learn the benefits of process visualization for the business community, for the one wearing the BA hat, for those tasked with developing the solution, and ultimately for the entire organization.You will also discover how DFDs are powerful tools for recognizing and eliminating two of the major problems that haunt IT projects, namely Scope Creep and Project Overruns caused by late project change requests.Data Flow Diagrams Simply Put! uses a concrete business scenario to present a simple, easy-to-learn approach for creating and using Data Flow Diagrams depicting workflow and data manipulation from interviews with Subject Matter Experts.You will learn how to create a Context-Level Data Flow Diagram and explode relevant process(es) to reveal the nitty-gritty detail (i.e., individual process and data specifications) that developers need to create IT solutions that the business community needs.The course answers the following questions:What is a Data Flow Diagram (DFD)?What is a Rigorous Physical Process Model?What is a Context-Level DFD?Why should I use Data Flow Diagrams?What symbols can I use on each type of diagram?How can I drill down into a process?How can I show internal processes and flows that produce the results?What does balancing a Data Flow Diagram mean and what is the business value?What is the most efficient approach to balancing a DFD?What business value do process specifications offer?How can I express detailed specifications for processes and data?What is metadata” and why do you need it?What does a fully balanced DFD look like?What value does a DFD fragment provide?Regardless of your job title or role, if you are tasked with communicating a workflow or functional requirements to others, this course is for you.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.