fbpx

End-to-End Data Science
Automation for Analysts

Streamline your feature discovery & engineering and machine learning development with dotData.

Drive Predictive Analytics with No-Code Automation

dotData provides a new approach to predictive analysis through AI automation. No SQL or Python coding needed – dotData does not even require visual programming or drawing complex workflows. Just load your data and define your prediction. dotData builds everything you need from data prep to feature engineering and machine learning.

Empower Your BI Team with AI Automation
for Agile Predictive Analytics

Empower your BI team with the power of AI automation, enabling them to build predictive dashboards and become a self-sufficient organization. With dotData’s automation tools, you can maximize success by co-defining high-impact use cases alongside our expert data science team, eliminating the need for data scientists. Our platform removes the technical complexities of AI and ML development, allowing you to focus on solving business problems. By leveraging full-cycle automation, you can run AI pilots in days rather than months, accelerating feedback loops and driving an agile, automation-driven data science practice, and improving business operations.

How dotData Helps You Become Data-Driven

dotData helps you become data-driven by automating demand forecasting, churn prevention, and marketing optimization. It delivers AI-driven insights across functions, enabling faster, informed decisions and driving measurable results.

Demand Forecasting

Demand Forecasting

Accurately forecast SKU-level product demand to help retailers optimize the inventory level.

B2B Churn Prevention

B2B Churn Prevention

Identify customer behavioral patterns indicating churn risk and leverage them into customer retention strategies.

Upsell/Cross-Sell Analysis

Upsell/Cross-Sell Analysis

Drive customer demand for new products with focused targeting and personalized marketing campaigns.

Bad Debt Prevention

Bad Debt Prevention

Help finance teams identify “at-risk” A/R with early indicators to minimize bad debt and optimize collection workflows.

Marketing Campaign Optimization

Marketing Campaign Optimization

Gain a better understanding of customer behavior and segmentation in the post-cookie era. Leverage ID-POS data and optimize marketing campaigns for maximum ROAS.

Inventory Forecasting & Optimization

Inventory Forecasting & Optimization

Optimizing inventory levels with AI can reduce waste, lower the costs of carrying inventory, and provide a faster, more predictable customer experience.

Commodity Demand & Price Forecasting

Commodity Demand & Price Forecasting

Optimize procurement and production schedules to respond to rapid market changes by discovering key patterns for drivers of price fluctuations.

Predictive Maintenance Analysis

Predictive Maintenance Analysis

Identify signals for potential defects and implement early warning signals to schedule maintenance ahead of time and lower maintenance costs.

Product Quality Improvement

Product Quality Improvement

Improve product quality by discovering patterns and correlations between input conditions and interim or final quality.

Healthcare Receivables Forecasting

Healthcare Receivables Forecasting

Identify payment failure patterns and deliver targeted outreach to address payment problems and minimize cash shortfalls.

Direct Mail Targeting

Direct Mail Targeting

Optimize and tailor marketing campaign spend by discovering correlations between products and client demographics to maximize success.

Product Recommendation

Product Recommendation

Identify patterns and enable sales agents to offer the right product to the right client, providing intelligent product recommendations with targeted “talk scripts.”

Retail Fraud Prevention

Retail Fraud Prevention

Leverage in-store data to predict negative sales at the store and SKU level using predictive analytics to spot troublesome patterns early.

Sales Optimization

Sales Optimization

Build sophisticated sales targeting programs by using historical data to create highly-targeted customer outreach and sales efforts.

Automate the Entire Data Science Process

dotData empowers organizations by automating the entire data science lifecycle—from data integration, data engineering, and feature discovery to creating machine learning models and deploying them at scale—enabling faster, more accurate, and scalable predictive analytics without coding.

Automated Feature Discovery

Automated Feature Discovery

Discover signals in your data

Discover patterns in your enterprise data by searching millions of hypotheses across dozens of tables, thousands of columns, and billions of rows of data, while minimizing the need for manual human input in processes.

Go beyond simple intuition

Let the data speak for itself by discovering meaningful patterns free from the bias of human experience.

Leverage your data diversity

Take advantage of your broad data types with support for time-series, transactional, geo-location, and even text data to discover broad multimodal data patterns.

No-Code, End-to-End Automation

No-Code, End-to-End Automation

Measure ROI from ML in days, not months

Leverage true end-to-end data science automation and develop predictive models automatically to measure ROI in days – not months or years.

Automate the hardest part

Automate all your feature discovery – the hardest, most time-consuming, and most manual part of the ML development process – while ensuring that even diverse and siloed datasets are transformed into high quality data.

Make your analysts “predictive”

Give your analytics team the power of an end-to-end GUI-based no-code platform to turn your analytics team into a predictive analytics powerhouse.

True Insights From Your Data

True Insights From Your Data

Predictions with true transparency

Build truly transparent ML-based predictive models by getting a visual understanding of your ML features. Trace data lineage of how features were built with feature blueprints.

Measure feature importance

Not all features in your ML model are alike. Measure feature importance with statistical scores and visualizations to get true quantitative transparency.

Easy MLOps

Easy MLOps

Model production made simple

Deploy, schedule, and execute end-to-end data pipeline from data processing through feature generations, model selections and predictions quickly and easily.

Stay on top of model performance

Monitor feature prediction quality and detect drifts and performance degradation through automated alerts that tell you when to act.

Ultimate scalability

Scale production environments as needed by automatically provisioning clusters “on demand” and by executing predictions dynamically and elastically.

Use Case Co-Development

Use Case Co-Development

Start with your business

Co-define your most valuable AI use cases to provide measurable business impact with the help of our world-class data science team.

Go beyond just training

Our data science team will work with you as an extension of your team and help you gain hands-on experience solving your own business challenges with AI/ML.

Full AI/ML orchestration

Our data science team will help you operate AI/ML as part of your business workflows. We will help you design the ideal architecture and integrate AI/ML with downstream dashboards and applications.

What Our Customers Say

Exeter Finance

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.

Karthik Chandrasekhar, SVP of Decision Science
sticky.io

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.

Justin Shoolery, Director of Data Science & Analytics

Real-World Use Cases

Discover how dotData is transforming businesses across industries. From demand forecasting to predictive maintenance, our use cases showcase real-world success stories where companies have leveraged automation to drive efficiency and deliver measurable results.