dotData

Feature Discovery & Engineering From Relational Data

Process transactional, temporal geo-locational, or text data directly from multi-table structured data Explore millions of feature patterns by auto-joining multiple tables automatically

Feature Quality & Selection: Find Features that Matter

Evaluate features with patented supervised learning techniques to avoid temporal leakage, collinearity, overfitting, and more Auto-cleanse data with value canonicalization, outlier detection, and missing value imputation

Quantitative & Qualitative Feature Transparency

Understand features through metrics From basic statistical measures to advanced feature importance scores Generate feature explanations, blueprints, and queries for full transparency of feature pipeline and lineage

Production-Ready Feature Pipelines & Query

Generate ready-to-deploy feature pipelines and minimize the headache between data science and data engineering teams when productionalizing feature queries

“The AI-Policy recommendation of MS1 Brain has enabled our agencies to propose the right policy to the right customer at the right timing… With dotData, we can produce as many outcomes as the efforts of 100 data scientists put together ” “With dotData Feature Factory we reduced the time required to predict three months’ worth of audience behavior by 30% to 40% dotData allowed us to take into account monthly trends and characteristics combined with factors like time of weekday and more ” Kenichi Fujimori  project manager, ADK “Our data is vast and highly diverse It is necessary to find the changes in the market and customers’ IT needs and deliver them quickly to the sales staff Using dotData, we can analyze data with a sense of speed “ Takahiro Jinushi Senior Managing Officer  General Manager of Marketing Automation Center Otsuka Corporation “dotData makes it incredibly simple for our data scientists to explore a multitude of use-cases quickly and without the headaches typically associated with data science ” Sumitomo Mitsui Banking Corporation “I was spending 95% of my time wrangling data I just didn’t see value in automating the last 5% of my process … Now I can offload most of that work and just focus on uncovering patterns and finding viable models ” Justin Shoolery Director of Data Science & Analytics “With dotData, we can combine customer data, branch data, employee data and sales data at high speed to create tables for incredibly rich ML models dotData is like a mathematician in a box ” Philip Barnes, Director of Business Intelligence

Your ML Feature Factory

Build a production line of features for your ML projects and accelerate time to value by Focusing Data Science efforts on ML, not data prep

End to End Data Science Automation

Automate 100% of the data science process to build ML models without complex data manipulation Co-develop your first model in 90 days

VentureBeat I NEC and dotData Use AI to Accelerate Data Science for SMBC

Feature Engineering for Temporal Data – Part 1

Cracking Multidimensional Time Series Forecasting with Automation

How a TV advertising company improved TV audience predictions with AI

Predictive Analytics Use Cases by Industry