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Our secure data foundation provides the infrastructure, data integration and governance that underpin your data experiences. This approach
In its simplest form, it allows you to securely upload a CSV file and/or access different data sources in BASEQ.
BASEQ automatically generates and visualizes reports based on the results of the models. If you wish, you can make changes to the reports with queries and share your reports securely.
BASEQ’s easy-to-use dashboards provide guidance on how to read and act on the model’s predictions, as well as easy-to-understand comparisons with related models.
First, BASEQ automatically trains hundreds of predictive models using various algorithms from the literature that are known to perform well on the types of data businesses typically have. Then, the models are all automatically tested and compared.
BASEQ also has an accessible capability that allows analysts to control the business metrics used to select the model that will answer your business needs. The best-performing model is selected for you to review and refine in the BASEQ interface and deploy when you are ready.
BASEQ’s automated processes start with data quality, identifying and correcting common issues such as missing data, outliers, or duplicates. The platform also looks for relationships in your data, identifying new features to build, such as clusters, trends, and other key data points.
From hundreds or even thousands of potential features, BASEQ identifies the ones that matter for accurate predictions. These automated steps eliminate much of the tedious and time-consuming work required to create an AI-ready data set, leaving you to add the finishing touches. All this preparation improves the performance of end-to-end models and helps you get the most value from your data.
Don’t be afraid; this entire process is done automatically!
You’ll be able to trust it with ease. Automated – new – approaches to predictive modelling are widely accepted and used by the most sophisticated data scientists who rely on AutoML tools daily to build, evaluate and select suitable predictive algorithms quickly. We have tested our automated methods for data cleaning, feature engineering and model building in our studies and with our customers.