Posted by: Infoveave Team
Date: 01 March 2022

Data monitoring and ensuring data silos don’t occur is the cornerstone of running a successful business. A common template that has seen several organizations rapidly decline is the inability to effectively manage and monitor their data. With remote working having become an irreversible norm in the current work disruption, the amount of data churned out is quite high, to say the least.
The most important part of building dashboards and reports is data sources. A data source is essentially the raw form of data before any insights can be derived from the data source that has been uploaded. Typically, in most organizations, data sources are built in the form of an Excel sheet. In fact, 92 percent of the data sources churned out by organizations are either in excel, word documents, or PowerPoint presentations. Reports also suggest that almost 87 percent of reports are in the presentation format.
One aspect that all of these reports and dashboards are dependent on is the data source. A wrong entry in the data source can potentially offset several key attributes of info boards. Therefore, inputting the correct data into the data source is a key attribute.

NGuage List View

However, if a piece of the data source is inaccurate, a change would have to be made. At times, making these changes isn’t easy and often tedious. For instance, the data source would have to be downloaded, updated on the existing system, and re-uploaded onto the platform to run analytics. While there are ways to update data sources on certain platforms, Infoveave’s NGauge forms provision helps users update data sources within a few seconds using a form-like structure with related fields.

How to use NGauge forms on infoveave

On the Infoveave platform, a NGauge form can be created using the measures and dimensions used in the original data source. This automatically triggers an update on the data source that an additional column needs to be added. However, before getting there, we need to learn how to set up a NGauge form.

As mentioned, the NGauge form is dependent on the measures of the data source. Hence, it is crucial not to make an error in any of the rows or columns. Once the data source has been added, a NGauge form can be generated. The NGauge form generated is generated as a list view as the original data source is reflected.

Additional fields can be added if need be and those additional fields will reflect on the list view of the form. Therefore, if something has been missed, entries can be made on the form. These entries will be reflected onto the original data source which will eventually reflect on the dashboard that has been created. 

Use cases

NGauge forms are typically used as CRM solutions for tracking and measuring sales targets. Since it provides a list view and dashboards/reports can be created using these forms, sales managers find good value from these forms.

Another use case is on the shop floor of a factory or a manufacturing plant. Typically, the process followed on the shop floor involves the line operator making sampling and quality control entries on a piece of paper. While this documentation technique has been around for several decades, digitization using a NGauge form would save time and capture data accurately, save time that would be spent in updating the data source, and formulate dashboards with effective and quantifiable insights.

How would you use a NGauge form? Sign up for a free trial todaysign-up to find out how NGauge forms and NGauge agents can help you manage your data effectively.