dotData Enterprise automates data science workflows, streamlining the entire process of building predictive analytics models. No-Code Automated Feature Engineering and Automated Machine Learning help you automate the process of discovering insights from your data and building Predictive Analytics models in days instead of months.
dotData Enterprise No-Code Enterprise Data Science Platform
It is a machine learning platform that can automate the entire AI development process with no code, thanks to its unique feature engineering and machine learning automation (AutoML).
Automate Data Discovery & Predictive Analytics
Democratizing Predictive AI through No-Code Automation
dotData Enterprise is a machine learning platform that allows businesses to develop predictive models using AI without complex coding, simply through GUI-based clicks, even without data science knowledge. Powered by dotData’s game-changing automated feature engineering technology, it enables the discovery of features from raw business data and delivers a one-stop solution for building predictive models with automated machine learning (AutoML). dotData Enterprise stands out among data science platforms by accelerating data utilization and digital transformation (DX) in businesses.
Product Features
dotData Enterprise can be deployed to suit your individual business needs. Choose from private-cloud deployments on your AWS or Azure infrastructure, or get started quickly and easily by selecting our dotData Cloud environment, fully hosted and managed by dotData.
No Cumbersome Data Wrangling
Connect, cleanse, and manipulate your data, eliminating time-consuming and error-prone data wrangling.
Multi-Table Feature Engineering
Discover AI features to boost your model accuracy and deliver deeper insights from multi-modal datasets.
AutoML Built-in
Leverage state-of-the-art ML algorithms, hyper-parameter search, missing value imputation, outlier cleansing, and more.
Data & Feature Insights
Uncover valuable business insights that can directly improve business processes, without weeks or months of repetitive report iterations.
Explainable AI
Produce explainable features and models and make your AI models more actionable.
Time-Series Modeling
Build sophisticated predictive models based on time-based data without an army of data scientists.
Handle Billions of Rows
with Ease
Support enterprise-scale data with complex table relationships and billions of rows.
One-Click Model Deployment
Deploy predictive models with one click, then monitor them to uncover changes that impact model performance.
Steps to Use
Connect to your data lake or data warehouse and leverage the full power of your enterprise relational data:
- Load data from modern cloud data marts (including Amazon Redshift, Google Big Query, Snowflake, MS Azure Synapse), traditional data warehouses (Oracle, Teradata, and MS SQL Server), and flat data sources (CSV files, Tableau Hyper files, etc.)
- Extract or infer metadata information like data schema and entity relations directly from data sources. Normalize metadata from different sources.
- Visualize data with billions of records and hundreds of columns, assess data quality, perform exploratory data analysis, and apply customized data transformations.
Select your target variable and the source tables you will use to build features, then hit run, and dotData will do the heavy lifting in record time.
- Resolve data quality issues like illegal values, outliers, data canonicalization, missing values, target label mapping and more.
- Explore millions of feature hypotheses – including numeric, categorical, time-series, text, and even geospatial data.
- Minimize domain bias with automated recommendations on features with the most predictive power.
- Build state-of-the-art machine learning models with gradient boosting, neural networks, ensemble models, decision trees, logistic regressions, and more.
- Fine-tune ML model parameters and select the best-performing ones.
Discover and evaluate data insights and features with minimal effort.
- Understand each feature’s business value and construction via an easy-to-understand auto-generated explanation and feature blueprint diagram.
- Select your preferred features based on various feature metrics like correlation, feature-wise AUC, permutation importance, feature locality, popularity, and more.
- Perform feature segmentation analysis and discover the deep relationship between features or between the features and your target variable.
Take advantage of ML auto-pilot to identify the best ML model most suited to build predictive models for your business.
- Use charts and a model leaderboard to analyze trade-offs between ML models to find the right one.
- Leverage model recommendation to automatically compare model accuracy, robustness, complexity, and interpretability to help you get to the best model – easily.
- Visualize each model with different techniques like confusion matrix, ROC curve, lift chart, error histogram, etc.
Make deploying and monitoring your predictive models a snap with integrated MLOps capabilities.
- Schedule predictions with near zero effort by deploying a model from dotData Enterprise to dotData Ops with a single click.
- Use dotData’s API and JDBC connectors to consume outcomes in your BI dashboards and business platforms.
- Run predictions using the best models via GUI or APIs.
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
News
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 Enhancements Across Its Entire Product Suite
Press Release
dotData announces dotData Insight to ideate business hypotheses by combining AI-driven insight discovery and Generative AI
Press Release
dotData Releases dotData Enterprise Version 3.2
Press Release
dotData Releases dotData Enterprise Version 2.12
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.
