DataCracker and Flamory

Flamory provides the following integration abilities:

Create and use advanced snapshots for DataCracker
Take and edit DataCracker screenshots
Automatically copy selected text from DataCracker and save it to Flamory history

To automate your day-to-day DataCracker tasks, use the Nekton automation platform. Describe your workflow in plain language, and get it automated using AI.

DataCracker bookmarking

Flamory provides advanced bookmarking for DataCracker. It captures screen, selection, text on the page and other context. You can find this bookmark later using search by page content or looking through thumbnail list.

For best experience use Google Chrome browser with Flamory plugin installed.

Screenshot editing

Flamory helps you capture and store screenshots from DataCracker by pressing a single hotkey. It will be saved to a history, so you can continue doing your tasks without interruptions. Later, you can edit the screenshot: crop, resize, add labels and highlights. After that, you can paste the screenshot into any other document or e-mail message.

Here is how DataCracker snapshot can look like. Get Flamory and try this on your computer.

DataCracker - Flamory bookmarks and screenshots

Application info

DataCracker is a new web-based survey analysis tool that makes it easy for anyone to find and share insights from their surveys.

DataCracker was built on the idea of democratizing data analysis. The tool provides a solution for people who are not satisfied with the basic data analysis options provided by their data collection software but also find statistical programs like SPSS and Wincross are overly difficult to use.

DataCracker equips users with powerful statistical testing and advanced data analysis tools such as WordCloud, Segmentation and Predictive Modelling. The tool has a familiar Office-like interface and works in web browsers using HTML5 technology, so it's easy for anyone to jump in and get work done on the go.

Integration level may vary depending on the application version and other factors. Make sure that user are using recent version of DataCracker. Please contact us if you have different integration experience.