Users & Products
Designers
The creators of reporting content within FastClose, they publish their work to other report designers and consumers using FastClose Designer. Reports could be statutory or management accounts, inventories of stock levels, analyses of aged debt or sales margins and much more.
The design features below show you just how far you can go with a FastClose report.
Consumers
Users who wish to focus on what their reports are telling them, without the distraction of a design focussed interface use FastClose Reader. With access to the reports and data they can shift focus by adjusting filters exposed by the designer to change department, year or any dimension. With predesigned links, they can drill to related reports, following the number trail.
Spreadsheet
Analytics
Designers who want to leverage FastClose's native understanding of the database structure can use it to simplify the extraction of a dataset and push it out using FastClose Scheduler to analytic tools such as Power BI to create dashboards and provide analytics to users across their business.
Design Features
Any data Anywhere
Unleash the connections in your database, placing dimensions into rows and columns as needed to bring the numbers to life, consolidating or slicing to find the right level of detail.
Multi-Database
Multi-Threaded
Formatting
Format your reports to find the right look and feel. Apply conditional formats to highlight issues in your business as they breach thresholds.
Captions
Drill Sideways
Surf the data, drilling from one report to related reports following the number trail, gaining insight into how your business works like never before.
Export
Totalling
Hierarchies
Create hierarchies in any dimension such as a Chart of Accounts complete with calculated KPI's or an organisational structure. Import existing hierarchies from your database.
Calculations
With the powerful calculation engine complex cross dimensional and conditional calculations are possible to make almost any KPI possible.
Bucketing
Value add features such as "Bucketing" allow data to be dropped into buckets defined by data ranges, making Aged Debt reports a breeze.