It's amazing how many different data sets come our way. Tracking
where they are, the scope and whether they include the latest can
be a time consuming process.
Take inventory of the data anywhere in your drive, shared-drive,
corporate data centers and the cloud. A permanent inventory of
data sources is built-in to the process.
The source data is never changed ensuring a complete record of
your process from start to finish.
align
Build domain-specific data schemas faster than ever before
Who knew that naming fields could be so time consuming and prone
to error. The process reduces the complexity of this often
tedious and time consuming task through a combination of approaches.
The process leverages the inherent qualities of the data and the
information therein to inform and reduce the burden of tracking the
otherwise fragmented single field perspective.
Single purpose user-interface ensures a layered view that
prioritizes if and when additional attention is required
Instant, on-demand context and field-specific summary views
Relate fields from different sources in less than a minute.
Interprets and validates how all of the data
"fits-together", instantly. Provides ongoing,
real-time feedback and next-steps.
Identifies gaps or inconsistencies
Provides detailed instructions on how to fix the issue that can
often be fixed "on the spot"
Offers automated solutions to make changes across data sources
The result is a fully automated and reproducible process.
The end-result is palpable: confidence, consistent treatment of
related fields.
stacking
Combine multiple sources of truth quickly - confidently
No more need to generate and manage scripts with how to combine
the data sets. Easily specify and change how data is being
combined.
Changes are made with a view of the complete data set
Dedicated processes for validating and propagating user-input
throughout the workflow
The workflow anticipates, and is built to facilitate a
consistent and informative naming convention
The workflow for accomplishing the task is optimized in several ways.
Common-sense context-sensitive default strategy
Visual review and capacity to adjust that is baked-in to the
process
Easy drag and drop capacity to adjust as needed
Iterate and adjust the documentated approach anytime
Dowstream capacity to assert and confirm your intent
create new
Generate new fields leveraging best-in class methodologies
Never again rely on stale computations to avoid introducing
inconsistencies.
Pull from a range of well-known computations (e.g., market share,
customer decile)... and less-well-known but really useful if it
weren't so complex before now.
Create your own integrated computations for you and your
organization to leverage, anytime.
Avoid introducing differences that are external to the subject
universe. Specify the subject universe once. All of the computed
fields will be computed consistently using that single universe.
Create a time-series, or perform any number of data
transformations with one end in mind: a data set structured for
statistical analysis.
a single record for each subject
derived fields computed using a single subject universe
hp-fieldhp-values
+=
compare, compare, compare
Make fair and accurate comparisons - reproducibly
It's one thing to compare two groups, it's a whole other
thing to compare two groups for purposes of statistical
comparison. Build test and control groups leveraging the
industry gold-standard.
Compute a propensity score to create a fair and tight
comparision between groups
Specify "micro-pools" of control subjects to help track the
impact ("lift") from an ongoing campaign
Expand the control-pool by dynamically re-using controls at
different relative points in time
Visualizing the data is core to ensuring a valid comparison.
However, the task can be made near impossible when the "main-effect"
occurs at different points in time for a given subject.
No more. The platform allows for absolute and relative time;
either-way, the derived fields for the test and control groups
will be correct and always computed based on the latest iteration.
always current
Built for continuous data updates
When you get updated data, no problem.
The fully-automated process makes it easy to integrate and
iterate with confidence. Integrate a new dataset
that might explain some of the variance (i.e., something that
might reduce the noise to help see more of the signal).
The system will instantly identify what interventions are
required
Recompute the size and shape of the subject universe
Recompute the derived fields
Rebuild the test and control groups
Run and present the statistical findings
infinite possibilities
Unprecedented opportunity for collaboration
The application is built for collaboration making it easy
to share, and iterate on both the design and details
of the data.
Secure, client-server technology
Capacity to share the design within your team
Single-sign-on capacity for where the data is; Microsoft and
Google
Review and share your approach with a colleague. The configuration
is ready and available anytime.
Leverage the methodology for the next study anytime.
Control what is shared when. Managing data access and
licensing can all be controlled for this single point to control.
In the event there is even more you want to accomplish, or need to
use the data to feed another data pipeline, we have you
covered. Once you have structured your data, the data
is stored in a format that can be used anywhere.
csv
excel
pandas dataframe
polars dataframe
sqlite
Get a headstart on your analysis. Try it now for free.
Get going with your analysis
Create the perfect data set in minutes
Enjoy early-access with free, live 1:1 support
Limited time pricing for the Pro plan
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Increase business intelligence productivity across your entire
organization.
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Integrated data access
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