Press Release
April 22, 2022
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.
Discover patterns in your enterprise data by searching millions of hypotheses across dozens of tables, thousands of columns, and billions of rows of data.
Let the data speak for itself by discovering meaningful patterns free from the bias of human experience.
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.
Leverage true end-to-end data science automation and develop predictive models automatically to measure ROI in days – not months or years.
Automate all your feature discovery – the hardest, most time-consuming, and most manual part of the ML development process.
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.
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.
Not all features in your ML model are alike. Measure feature importance with statistical scores and visualizations to get true quantitative transparency.
Deploy, schedule, and execute end-to-end prediction pipelines from data processing through feature generations and predictions quickly and easily.
Monitor feature prediction quality and detect drifts and performance degradation through automated alerts that tell you when to act.
Scale production environments as needed by automatically provisioning clusters “on demand” and by executing predictions dynamically and elastically.
Co-define your most valuable AI use cases to provide measurable business impact with the help of our world-class data science team.
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.
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.
Leverage the power of AI Automation to enable your BI team and create a self-sufficient organization to build predictive dashboards.
Maximize the chance of success by co-defining your most valuable use cases at the start with the help of our world-class data science team.
Free yourself from the heavy lifting and technical complexities of AI and ML development and focus on solving business problems.
Leverage full-cycle AI automation to run AI pilots in days instead of months. Accelerate feedback loops from the business and enable an automation-driven agile data science practice.
Your investment in dotData comes with everything you need to succeed. Backed by our world-class team, you will have your first AI/ML solution in place in 90 days or less.
Transform all aspects of your business with AI-enabled business applications in sales, marketing, financial, supply chain, risk & compliance, or R&D.
For payment processor sticky.io, the process of identifying the right day and time to attempt a credit card transaction is critical. The manual “dunning” process as its known was causing them to lose tens of millions per month in declined transactions. See how they turned to dotData’s No Code AI platform and saved $98M per year – in 90 days.
Identify customer behavioral patterns indicating churn risk and leverage them into customer retention strategies.
Help finance teams identify “at-risk” A/R with early indicators to minimize bad debt and optimize collection workflows.
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.
Reduce waste, lower costs of carrying inventory and provide a faster, more predictable customer experience by optimizing inventory levels with AI.
Identify payment failure patterns and deliver targeted outreach to address payment problems and minimize cash shortfalls.
Optimize and tailor marketing campaign spend by discovering correlations between products and client demographics to maximize success.
Leverage in-store data to predict negative sales at the store and SKU level using predictive analytics to spot troublesome patterns early.
Build sophisticated sales targeting programs by using historical data to create highly-targeted customer outreach and sales efforts.