dotData Insight, powered by an AI-driven insight discovery engine augmented with GenerativeAI, uncovers business hypotheses beyond apparent data signals. This cutting-edge solution explores millions of potential data signals within intricate enterprise datasets, liberating data analysts, business intelligence professionals, and power users from arduous weeks or months of repetitive trial and error. The result delivers valuable and previously unseen insights that identify high-impact micro-segments of data to empower data-driven decisions that accelerate business success.
dotData Insight
Discover Actionable Data
Insights in Minutes
Data – Centric & GenAI – Powered Signal Discovery
Unlock Hidden Business Insights from Enterprise Data
Identify Key Microsegments That Drive Your Business KPIs
dotData automatically uncovers the signals that are responsible for driving your key performance indicators (KPIs), transforming unexplored data into actionable business drivers within minutes. This process simplifies data analysis, allowing you to discover novel insights that truly matter, combining them into hyper-yielding data segments. Convert statistical signals into meaningful business insights with the power of GenAI and explore deeper layers of your data with follow-up questions to refine strategies that boost performance. By revealing high-impact combinations of drivers in real-time, dotData empowers you to visually identify high-impact micro-segments of data that move your KPIs – all in seconds. With a single click, you can generate business scorecards to pinpoint the exact areas where your business should focus to maximize KPI improvement.
Product Features
Harness the power of dotData to uncover AI-driven insights, and utilize a user-friendly no-code interface to discover and evaluate hyper-impact micro-segments of data.
AI-Driven Insight Discovery
Identify dozens of key signals from hundreds of thousands of possible data patterns sourced from diverse sources in hours, delivering actionable data insights that drive real business outcomes.
Automatic Segment Identification
Surface the “magic threshold” for each key driver, allowing business users to quickly analyze data to discover and build hyper-valuable segments of data.
Intuitive, User-friendly No-Code UI
Drag-n-drop data, define business objectives using familiar terminology, and surface discovered signals from day one. Our approachable interface is designed to empower users with just about any level of data literacy.
Generative-AI Business Hypotheses
Idea actionable business hypotheses by fusing data insights with world knowledge unique to the business.
Multimodal Signal Discovery
Connect diverse structured and unstructured data sources to unlock signal discovery from numeric, categorical, time-series, text, and geospatial data.
Real-Time Interactive Visualizations
Explore detailed data visualizations, create custom metrics, and build dashboards to show key metrics alongside business insights.
Scorecard Formulation & Export
Create, analyze, and export scorecards for customized business segment analyses.
Analyze Temporal Signals
Automatically generate and validate multidimensional time-based data patterns, including holidays, lags or delays, periodicity, seasonality, and more.
Steps to Use
You can directly input your company’s raw data. The hypothesis-based quantification and data cleaning required by traditional BI is unnecessary. dotData simplifies the process by minimizing the need for complex data collection and cleansing typically required before analysis.
- Easy drag-and-drop data upload from a local workstation or stored in object storage like S3.
- Automatically infer metadata such as data types and relationships – minimizing your data cleansing efforts.
- Allows you to add and manage semantic information, such as mapping of product codes and product names, as a dictionary to incorporate more domain context into your analysis.
Start by defining objectives tied to your business goals. Select the target column where your business goals are recorded. Then, dotData will automatically identify patterns and the conditions that impact your business the most to help you gain insights.
- Select a column that records your primary business metric, such as loan default flags, churn flags, sales volume, etc.
- Select all imported tables that you want to associate with the primary metric.
- Run “AI-driven Key Signal Discovery” to automatically identify the dozens of data patterns and signals contributing to key business metrics.
Combine the conditions exemplified by dotData to find the key drivers behind your business goal and key metrics.
- Automatically infer “magic thresholds” determining conditions that maximize (or minimize) your primary metrics.
- Find the best signal combinations by balancing the segment size (the number of samples applicable for the signals) and the improvement rate of business metrics as indicators of importance.
- Real-time visualization of custom metrics for a multifaceted business evaluation.
Relying on the causal hypothesis and numerical information dotData provides, ideate the actions necessary to achieve your business goals.
- Describe business goals and their context in natural language, and have dotData’s generative AI ideate a causal hypothesis for key signals.
- Develop a deeper understanding of the hypotheses by reviewing the visualized numerical information of the key metric distribution of the samples applicable to the key signals.
- Share your key findings and insights with business executives and analytics colleagues with metrics that justify your hypotheses.
Score the number of business segment conditions applicable for samples to identify targets for which business actions should be taken.
- Create a scorecard with the number of applicable business segment conditions for each sample as a score.
- Using changes in scores and metrics as a guide, identify targets for which business actions should be executed.
- Export a scorecard to allow business units to interpret and implement business actions.
- This scorecard can be a powerful tool for business to leverage data analytics and interpret actionable insights for targeted actions.
What Our Customers Say
Exeter Finance
The biggest problem is that, when doing it manually, it’s just a repetitive, trial-and-error process that takes time. dotData solves a problem I’ve been trying to solve for 20 years.
sticky.io
I was spending 95% of my time wrangling data…now I can offload most of that work and just focus on delivering viable patterns and insights.
Use Cases
Multinational Industrial Supplier Saves $40M Per Year With AI-based Customer Churn Prediction
News
Press Release
dotData Announces dotData Ops 1.4 with Advanced Python Ecosystem Integration
Press Release
dotData Announces Updates to Products Enhanced with Generative AI Integration
Press Release
dotData Announces dotData Insight for Salesforce – A Revolution in Sales and Marketing Analytics
Press Release
dotData Announces dotData Feature Factory 1.1 with GenAI-Powered Assistance
Press Release
dotData Announces Enhancements Across Its Entire Product Suite
dotData's AI Platform Maximize Data Utilization through Feature Discovery
dotData leverages automated feature engineering to build models using machine learning, enhancing data by accumulating feature values as assets and extracting valuable insights, enabling businesses to become more data-driven. Our platform satisfies a wide range of needs, including business transformation, and support the effective use of data and AI to drive innovation and growth.
Request a Demo
We offer support tailored to your needs, whether you want to see a demo or learn more about use cases. Please feel free to contact us.
