Resources: Challenges & Solutions

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Video 1: How to Use Report Batches

The first in the new Challenges & Solutions video series covers how to use report batches in ARES PRISM. This tutorial show you how to produce individual reports customized for several different projects with one click!

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Video 2: How to Optimize Report Sharing

This How-To video examines how PRISM users can optimize report sharing. This handy feature gives users the ability to selectively import pre-configured reports without having to recreate them.

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Video 3: Backing Up Project Data

How to easily backup a project’s data (or hundreds of projects’ data) is examined in this quick tutorial. Before importing any new data, it is crucial to make an archive or backup of your project.

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Video 4: Restore Projects Data from Backup

Following up on the Backing Up Project Data tutorial video, this how-to video quickly walks viewers through how to restore project data at any given time– whether mistakes were made or you just want to make a comparison, we show you how to return to the exact same state of a previous backup.

Video 5: Taking Data Snapshots

Snaphots is a new backup option that can serve as a reporting reference point throughout the project lifecycle. This functionality leads to further backup and reporting efficiencies. As the name suggests, PRISM offers an option to take a snapshot of the entire database at any given time.

Video 6: Cloning Reports and Report Batches

This tutorial explores how can we clone a specific report or a project batch without having to re-create its specifications from scratch in ARES PRISM. Simply edit any specific changes instead!

Video 7: Generating Cashflow Forecasts

The challenge of producing a cashflow forecast report, including the payment terms, advanced payments, retention values and more are addressed globally in a project and individually for different packages.

Video 8: Interactive Variance Analysis

How to simplify the performance variance analysis process across the project, especially when there are large volumes of data. Cost variances, schedule variances, cost performance indicators and schedule performance indicators, for both a specific period and to date are addressed.

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