dotData Insight Transforms Raw Data Into Actionable Hypotheses

dotData, a provider of platforms for feature discovery, is releasing dotData Insight, an AI-driven insight discovery engine augmented with generative AI that enables enterprises to uncover unique business hypotheses from data for better analytics-driven decisions.

dotData Insight combines two complementary AI technologies: dotData’s AI-driven signal discovery engine from Feature Factory and generative AI. The former uses dotData’s proprietary AI to automatically discover and evaluate data signals and statistical facts hidden within the vast repositories of enterprise data. The latter helps users translate discovered signals into hypotheses, making interpretation easier, according to the company.

“What sets dotData Insight apart is our ability to seamlessly handle large-scale enterprise data, encompassing tens of tables, thousands of columns, and billions of rows, ensuring no data is left unexplored,” said Walter Paliska, VP of marketing at dotData.

Currently, business intelligence (BI) platforms require business users, in collaboration with BI experts, to manually form hypotheses of what could be causing specific business challenges—like high product pricing contributing to client churn, for example.

The slow traditional process involves creating reports and engaging in repetitive trial-and-error to arrive at valuable signals. A manual process can also lead to “experience bias” because business experts often look at patterns they know work, overlooking other critical signals, according to the company.

dotData Insight takes a new approach, letting data speak for itself. dotData’s AI-driven insight discovery explores millions of possible multimodal data signals, including those from temporal, geospatial, categorical, and numeric attributes. This is all without involving the tedious building of custom reports with SQL code or visual diagrams associated with traditional BI systems, according to the company.

The signal discovery platform can also transform unstructured data, including text that contains rich business contexts but is often hard for business analysts to analyze, into business-friendly context labels. Then, by fusing structured and unstructured data, dotData Insight unveils information that might have otherwise remained concealed.

The user-friendly, intuitive, point-and-click interface allows data analysts and BI professionals to uncover more insights with minimal reliance on domain experts, data scientists, or data engineers.

According to the company, tracking key metrics is effortless on the visual dashboard, providing immediate visibility into critical trends. Users can also export their findings and generate scorecards, making sharing high-value insights with stakeholders easy. 

This data-centric analysis empowers users to be more efficient and highly productive, armed with the insights they need for informed business decision-making. With the added generative AI layer, analysts will also drastically reduce the hours they spend identifying high-value hypotheses for dealing with identified business opportunities and challenges.

“dotData Insight expands dotData’s vision to propel data-driven digital transformation for all enterprises and accelerate the time-to-value for business leaders,” said Ryohei Fujimaki, Ph.D., founder and CEO of dotData.

dotData Insight will be available in early 2024.

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