Welcome to Entrinsik’s video series on Informer 5’s highlighted features. This should allow you to become more acquainted with the product and use cases. Please reach out to the Entrinsik team for more information and to get you started with a trial.
One of the greatest changes and benefits of Informer 5 is its shift from ad hoc reporting to dataset driven analysis. An Informer Dataset allows a user to curate an exact list of records instead of only query parameters. This means a user had complete control over what’s seen including custom calculations created in Informer and even overlaying data governance and standardization rules. Datasets can also marry data from different databases and spreadsheets and automatically refresh at scheduled intervals.
Pivot tables are essential in slicing and dicing summary views of data. Informer brings traditional pivot table functionality along with the ability to drill down into record-level detail. Informer’s pivot table designer quickly enables users to create dynamic views such as YTD, quarterly, monthly comparisons by company location or product description. Dataset designers can also easily uncover any anomalies or missing information by pivot table summaries and uncovering the specific detailed records.
Informer provides an intuitive interface for users to create a repository of visualizations (charts, maps, pivot tables, gauges, summary views, and many more) per dataset either created directly within an Informer Dataset or in creating a dashboard. Visuals also allow for different levels of filtering at the data source, individual visual, or specific to a user. Informer visualizations can also be embedded in other websites and inter-office portals such as SharePoint.
A common pain point in most data visualization software falls on users trying to reinvent the wheel each time they create a new chart or metric and having to plug in the parameters over and over again. Informer’s Discover hastens this whole process by intelligently suggesting visuals based on data elements that are selected to be analyzed. Users can then save suggested visuals as is or easily customize them.
Often times data analysts will find that they want to compare a whole series of metrics respective to different values of a category or a “whole versus part” depiction. Informer Comparison Boards allow users to easily achieve this view and spin up new columns of visuals comparing the defined values. This automation saves a lot of time in creating the overall dashboard.