Track changes over time. Easily notice changes, annotate things, revert changes. Benefit as a team having a paper trail of all changes.
Compare datasets or revisions to notice field and value modifications and/or calculation differences
Test edits in separate environment(s) before pushing live.
See everything by inspecting all data cells to find unique values and frequencies.
Automate data processing by creating a visual workflow diagram with intuitive stages: Transform fields via recodes, re-basing, renaming, and rollups. Merge records with unions and joins.
Elegantly handle multi-dimensional data through features that allow unrolling loops and picks, etc., without the need to manually restructure datasets.
Easily find dataset and field references to understand all side-effects and answer important questions such as: "Where is this field being used?"
Ensure data integrity with automated tests that run every time a new dataset revision is published. Prevent common and repeat mistakes.
Well-defined, standardized, intuitive calculation stages offer performant and scalable analytics that run on modern database technologies, with elegant handling of market-research related nuances.
Custom modeling is accomplished through thoughful organization of standardized calculation stages. This is probably less effort that writing raw scripts (R, Python, SAS, SQL), but powerful, intuitive and performant.
Iterative calculations such as price sensitivies and various forms of optimization may be accomplished by running multiple pipelines or dataflows in parallel for ultimate scalability.
Our basic charting libraries support Office Open XML features wherever possible, offering export (to Excel®, PowerPoint®) as native editable data-behind charts.
Our tables offer customized formatting and layout features, including various types of cell visualizers (bars, comets, and more) with beautiful formatted export capabilities.
Third Party Integration
We have a thoughtfully archited export model which offers clean, precise, scalable export visualizations which integrate well with themes and brand templates. Editable charts are supported (see Native Charts).
Authors may create programmatic text and phrases, such as a footnote that includes calculated sample sizes, or an intelligent recommendation that is data-driven.
Palettes are used for UI elements and visualizations. They contain both named swatches and arrays. Swatches have color and text information.
Images (icons, logos)
Incorporate lists of images and link them to items such as brand lists, country lists, segment personas.
When designing pages and slides, we offer intuitive container widgets that simplify layout mechanics.