Feature Requests

We have updated the date format across the Omnisient platform to 01 Jan 2024 to enhance readability, improve localization, and ensure visual clarity. This format is more user-friendly, aligning with international standards, reducing confusion across regions, and providing a consistent user experience. The use of an abbreviated month name also enhances the visual hierarchy, making dates easier to interpret at a glance.

Financial Inclusion is a project template that incorporates a large retailer's data for use by a client to match customer data based on both the customer's identity ("Customer") and a specific date ("Date"). You need to have an active subscription to this - please speak to the sales team ( sales@omnisient.com )

The booking of an ACE Report is a request to the system to compare your dataset to the ACE “universe” of data which contains credit bureau data, deeds information, CIPC & Home Affairs information, and other marketing data, and to prepare a report with various pages of analyses and insights of your dataset(s) against this universe. Please visit help.omnisient.com for more details on this project.

Prerequisites You need to have uploaded a dataset, and have created a collaboration between you and another partner. Navigate to the menu and locate the "Projects" section. This is where you'll find helpful templates and analysis tools. Look for the "Overlap Template" and select it. This template is specifically designed to assist you in selecting datasets for overlap analysis. Once you've accessed the template, you'll be guided through the steps of the Overlap Project. Follow these steps carefully to ensure a successful overlap analysis. In the template, you'll find a list of your uploaded datasets. Take your time to review the options and select the dataset you wish to include in the overlap analysis. You now need to select your Customer Identifier. Next, you'll need to indicate the shared dataset that you want to compare with the selected dataset. This comparison will help identify any overlapping data points. After confirming your selections, the system will automatically schedule the overlap between the chosen datasets. This ensures that the analysis is performed according to your preferences and within the specified timeframe.