Data Management
Version Control
Track changes over time. Easily notice changes, annotate things, revert changes. Benefit as a team having a paper trail of all changes.
Difference Tools
Compare datasets or revisions to notice field and value modifications and/or calculation differences
Inspection
See everything by inspecting all data cells to find unique values and frequencies.
Data Flows
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.
Dimensionality
Elegantly handle multi-dimensional data through features that allow unrolling loops and picks, etc., without the need to manually restructure datasets.
Dependencies
Easily find dataset and field references to understand all side-effects and answer important questions such as: "Where is this field being used?"
Automated Tests
Ensure data integrity with automated tests that run every time a new dataset revision is published. Prevent common and repeat mistakes.
Analytics
Calculation Stages
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 Models
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.
Parallelism
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.
Extensibility
As calculations are performed by the compute servers, authors may tweak the inputs/outputs using Javascript. This offers extreme customization for both calculations and data visualization.
Visualization
Native Charts
Our basic charting libraries support Office Open XML features wherever possible, offering export (to Excel®, PowerPoint®) as native editable data-behind charts.
Tables
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
Our visualization platforms offer the integration of 3rd party Javascript data visualization libraries for maximum extensibility.
Powerful Export
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).
Data-driven text
Authors may create programmatic text and phrases, such as a footnote that includes calculated sample sizes, or an intelligent recommendation that is data-driven.
Themes
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.
Intuitive Layout
When designing pages and slides, we offer intuitive container widgets that simplify layout mechanics.