Analytics-Ready Data

Accelerate Scientific Discovery and Drive Innovation.

Taking scattered, complex, and varied R&D data and giving it new life as a value-generating engine.

Why Enthought

Scientific innovation starts with data, and research labs are sitting on an untapped goldmine. That's because R&D data is different— often a scattered collection of images, videos, tables of values, scientific measurements and more— that makes unlocking its value difficult. Data needs to be in the hands of scientists to allow for rapid iteration and discovery, but scientists are spending too much time wrangling their data instead of using it. Enthought empowers scientists by putting analytics-ready data at their fingertips to discover never-before-seen value and drive innovation.

Enthought brings together scientific understanding with computational excellence. We understand the unique challenges with R&D data and know-how to harness its value for faster discovery and smarter innovation.

AnalyticsReadyData1
Materials2
icon-1

Have a question? Check out our Knowledge Base for FAQs, announcements and more resources.

icon-2

The Enthought Tool Suite is a collection of open-source components developed by Enthought, our partners and the scientific Python community, which we use every day to construct custom scientific applications.

Unlocking the Value of R&D Data

While the value of R&D data is clear, finding a way to sort through it can be daunting given the special handling required to extract its value. In fact, 75 percent of surveyed R&D executives believe advanced analytics techniques would play a pivotal role in their future R&D activities, but only 25 percent state that their R&D organizations were actually using these analytics.

General-purpose data management solutions are ill-equipped to confront the challenges of R&D data, leaving researchers to manage time-intensive and/or manual processes that may or may not yield results. That’s where Enthought Edge steps in.

WEBINAR: Materials Informatics for Product Development: Deliver Big with Small Data

May 17, 2023 Overview For many industry labs, scientific data has historically been generated to answer specific, immediate research questions and then archived to protect…

Read More

Sneak Peek: Deep Learning for Scientists & Engineers

Looking to understand the principles of deep learning? Enthought Academy provides the perfect starting point. Check out a sneak peek video from our Deep Learning course…

Read More

Unlocking the Value of High Throughput Screening Pipelines in Small Molecule Drug Discovery

Transforming High Throughput Screening Data into Actionable Insights with Data Modeling and Visualization A mid-size small molecule cancer therapeutics biotechnology company using a custom high…

Read More

Why Top Materials Company Idemitsu Partnered with Enthought to Accelerate Product Innovation using Materials Informatics

Idemitsu’s Path to R&D Digital Transformation Idemitsu has a rich 100 year history of developing products alongside leading OEMs from project onset, and today is…

Read More

[eBook] Digital Transformation in the Life Sciences Industry

The Lab of the Future: Barriers to Digital Transformation in the Life Sciences Industry Experts predict over the next two years, life sciences companies will…

Read More

[eBook] Digital Transformation in the Materials Science Industry

Building the Materials and Chemicals Lab of the Future Materials and chemical companies know that building a digital “lab of the future” to accelerate discovery…

Read More

5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab

5 Tips to Kickstart Your Journey to the Future-Proofed R&D Lab   Despite an increase in digital transformation efforts across all industries, 70% fall short…

Read More

[White Paper] Optimized Workflows in the Life Sciences

Optimized Workflows: Towards Reproducible, Extensible and Scalable Bioinformatics Pipelines A bioinformatics pipeline is an analysis workflow that takes input data files in unprocessed raw form…

Read More

New Application Transforms Chip Communication Subsystem Testing

Freescale Semiconductor needed to transform their testing processes. Freescale’s High Speed Signal Integrity (HSSI) group is responsible for testing the electrical characteristics of the communications…

Read More

Active Learning Improves Polymer Formulation Scale-Up Efficiency

A Specialty Chemical Company Wanted to Remove the Bottleneck from their Polymer Scale-Up Process Many of the high tech products we interact with on a…

Read More

Alexandre Chabot-Leclerc

Vice President, Digital Transformation Solutions

Mark Dickinson

Director, Software Architecture

Sogo Shiozawa

Scientific Software Developer

Kuya Takami

Senior DTX Services Consultant and Instructor

Logan Thomas

Senior DTX Services Consultant and Instructor