Datasmoothie can automate your survey data pipeline, all the way from raw data to deliverable results, like Excel talbes, PowerPoints and dashboards.
Tally offers support for native handling of special data types like multiple choice variables, statistical analysis using case or observation weights.
Connect directly to a database by supplying Tally with a json URL or database connection. As soon as your data is updated, your outputs are as well.
A rich and flexible metadata schema provides support for a wide range of data structures and variable types including grids, multiple response and single response categoricals. Tally also understands SPSS metadata.
Powerful, metadata-driven cleaning, editing, recoding and transformation of datasets, including creating derived variables, NETs and weights.
Excel tables and other outputs can be built entirely with Python. You have complete control over what each sheet and cell shows, from showing unweighted bases and significance test results to descriptive statistics.
Tally can act as an ETL or OLAP layer in your data warehouse. It connects to all major survey providers, transforms data into a unified model and exposes endpoints to query the data for results.
Using Tally gives you access to your survey data in Python, or any other programming language, since Tally is a RESTful API.
Tally's thoroughly documented methods include complex logic structures to filter data and derive variables, a RIM weighting algorithm and more.
Your data warehouse or data lake should include your survey data.
The Tally API can be hosted in our cloud, your cloud or on premises.
Only a few lines of Python can create highly customised and branded Excel tables with any content you need from weights, to descriptive statistics, to sig-tests.