Products
Software
The Data Preparer software is available for download for use on your own computers. All versions of Data Preparer have the following features:
- Hands-off data preparation: no programming or hand-crafting of rules.
- Data integration: combines data from multiple collections.
- Format transformation: reformats attribute values to match data context examples.
- Data repair: corrects omissions using data context examples.
- Explanation: all decisions made by the software are visible.
- Steering: the decisions made by the software can be revised.
- Provenance: results are annotated with how they were produced.
- Data sources: can import data from comma-separated-value files, relational databases, Excel files.
- Interfaces: interactive and command line.
In addition, paid subscriptions include:
- Support: next business day support via an online help desk.
- Training: a 1:1 online training session early in the first subscription period.
- Updates: access to new releases throughout the term of the subscription.
- Flexibility: subscriptions can be cancelled online at any time.
| Trial Version | Monthly Subscription | Annual Subscription | |
|---|---|---|---|
| Windows, Mac, Linux | Windows, Mac, Linux | Windows, Mac, Linux | |
| 20% off Monthly Rate |
The interactive interfaces are made available for Windows and Mac as installers. The command line and Linux versions require that Java 8 or later is installed on the host computer. Best effort support is provided for users of the Trial Version. The trial version imposes certain restrictions on the numbers and sizes of data sets that can be used. In particular, the maximum number of sources is 50, the total number of rows is 50,000 and the maximum number of attributes per source is 50.
Note that, in line with out Privacy Policy, The Data Value Factory does not hold payment card details, which are handled exclusively by our payment gateway, Stripe.
Consultancy
In addition to software, we can provide consultancy to inform the use of Data Preparer, or on wider aspects of adding value to data.