Our products
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What is augmented analytics
The main distinguishing factors of augmented analytics technology is automation and storytelling. Automation comes with elements of automatic data preparation, while stories and true human augmentation come with automatic insight generation and explainability. Gartner predicts that by “2025, data stories will be the most widespread way of consuming analytics, and 75% of stories will be automatically generated using augmented analytics techniques.”
Augmented Analytics provides hypotheses and improves business outcomes in complex contexts, where data, and business questions are continuously changing. Unlike pure Artificial Intelligence, Augmented Analytics needs the human to evaluate and validate the hypotheses, internalise and share insights, and act on the findings.
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What is DataStories?
We are the only self-service augmented analytics software so far that makes A.I. explainable and automatically generates predictive forward-looking insights about your data.
DataStories is on a mission to empower everyone take data-driven decisions. We offer a self-service analytics platform to business experts who are often left out from analytics because of complexity of other tools. You can now run analytics yourself and share the results in a form of explainable and interactive data stories, which can be exported into PowerPoint. Your data science and data engineering teams will also be happy to use our powerful DataStories library for Python - it helps quickly analyse data with too many features of unknown significance, deploy interactive insights and models in custom production environments within hours.
DataStories is a new way to take the next step beyond the dashboards towards predictive insights, correlation explorations, discovery of anomalies and creation and deployment of robust and explainable machine learning models. And all of this in a matter of minutes in a beautiful and easy to use interface, in a comfort of your browser or a jupyter notebook, for complex data with hundreds and thousands of features.
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How does it work?
Start to generate insights from your data in no time.
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Who is it for
Our suite is made for a broad range of users. The platform is designed for business people, who own the business questions and context, and want to drill and iterate on the analysis themselves. The library and SDK are made for data scientists, to augment their tools with powerful dimensionality reduction algorithms and capability to make instant interactive visualisations from within Python.
