dotData Enterprise

Automate Data Discovery & Predictive Analytics

dotData Enterprise is an enterprise-grade platform designed to automate the entire workflow of advanced analytics. 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..

Deployed to Suit Your Needs

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.

“Feature engineering is powerful and scalable, even across tens of tables with billions of rows.”

Step 1

Load your enterprise data

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.

Step 2

Provide Your Target & Source

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 ML 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.

Step 3

Discover Transparent & Explainable Features & Insights

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.

Step 4

Select The Right Predictive Model

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.

Step 5

Deploy Your Models & Operationalize Predictions

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.

You, AWS & Azure

Deploy dotData Enterprise behind your firewall or on your private cloud instance – whether on AWS or MS Azure, the choice is up to you.

Hosted by dotData

Get started quickly by leveraging dotData’s cloud-based instance of dotData Enterprise fully hosted and managed by dotData on AWS.

Product Features

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 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.

Payment processor sticky.io used dotData to recover $96M per year by implementing an ML-powered smart dunning process. Read how they did it.

Justin Shoolery

Director of Data Science & Analytics, sticky.io

Ready for Predictive Analytics?

Book a 37-minute meeting with our solution specialists to see if predictive analytics – and dotData Enterprise – are right for your organization.

Book a 1:1 Consultation Today

Want to Learn More?

Book a 1:1 session

Book a 27-minute session with a specialist to see if dotData Enterprise is the right solution for your business.

Connect with a Specialist

Are You Ready?

Ready to scale? See if dotData Feature Factory is right for your business. Take our free self-assessment today.

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Try it on a Small Scale

Take dotData for a spin. Contact us to see how to get started on a trial of dotData Enterprise today.