Search

This is a webinar covering what all goes into creating and using a tech disaster plan. We started by thinking about four scenarios that exemplify the major kinds of disasters, loss of data, loss of power, loss of senior or key staff, and a breach.

Today we had our most popular webinar to date with over 150 people attending We moved quickly and covered a lot of ground.

Data validation and quality assurance are a series of procedural and design methodologies that are adopted to ensure that client / customer data meet any and all standards for its intended use as an operational, planning and decision making tool.

A variety of training modules.

Collaboration can often have a significant impact on the growth and success of technology initiatives.

When approaching a document you want to make sure your audience can understand it quickly and easily. Often people have language issues, or are just too busy to dissect dense legal sounding mumbo jumbo.

Webinar about Sharelaw with Video Tips

In this webinar April Faith-Slaker from A2J Lab and Aurora Martin from Pop Up Justice discuss helpful tools that should be used during program design.

n this webinar Sandy Rylander walks us through the basics of what Excel’s Formulas and Functions are and how to get the most out of using them.

Recent natural disasters have only reinforced the need for organizations to be prepared for a variety of interruptions to the services they provide to clients. Identifying how to prepare for and respond to different types of disasters is the first step towards minimizing their impact on the operations of the organization and clients. This session will describe how to identify and assess different vulnerabilities.

The “Baking Evaluation Into Your Technology Projects” webinar emphasizes integrating continuous evaluation throughout the lifecycle of technology projects, rather than treating it as a final step. By designing, implementing, measuring, and refining small components iteratively, organizations can avoid last-minute assessments, distribute evaluation costs over time, and enhance both metrics and designs progressively. This approach ensures more effective and adaptive project development.