Quantori is proud to be an Exhibitor at Lab of the Future Europe on October 4‑5
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Data Science and Engineering

Putting your data to work

Data science

for every source

One of the biggest challenges for life science and healthcare organizations is dealing with a vast array of heterogeneous sources, objects, clinical data, and real-world evidence.

Quantori has deep domain expertise that applies to widely used public and private data sources. Our data scientists are experienced in working with diverse types of data and in combining data from multiple sources to achieve optimal results.

Data science is only one part of the process — wrangling the right data points and engineering them for optimal results is what makes Quantori uniquely positioned to take on this kind of projects.

Data Engineering Services
We create the architecture, layout, workflows, and initial data systems to make sure the right data stays current and new data can easily be added or removed.
Data Strategy Consulting

• Design a data strategy that reflects business goals and scientific needs

• Develop a data architecture blueprint and executable roadmap

• Develop approaches to building-up cloud-based solutions for managing and storing large volumes of data

Data Migration to Cloud

• Migration from on-premises environment to Cloud, including RDBS replacement

• Complex data migration from legacy systems to a client’s new stack

Data Pipelines / ETL

• Data extraction from various sources

• Source data cleansing

• Real-time/streaming and batch data processing

• Data format conversions, transformation, and normalization

• Data standardization services, reducing data complexity

• Working with structured, semi-structured, & unstructured data

Data Warehouse & Data Lake

• Build complex architectures for future DWH

• Adjust existing solutions to increase scalability and performance

• Configure data pipelines to feed into Data Lakes

• Connect BI solutions

Database Development

• Develop database architectures

• Database performance tuning

• OLTP systems creation

• Best practices for building business logic around/inside a database layer

• NoSQL solutions

Data Governance

• Provide a proven methodology for establishing data governance within the organization

• Provide solutions for data high availability and consistency

• Provide robust data security solutions/data anonymization according to requirements of regulatory authorities

Gain meaningful insights from your data

Find your Solution
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Data Science & Analytics Services
Data Analysis

• Data quality assessment

• Deriving relevant business and scientific insights from the data

• Creation of data reports and data repositories

• Optimizing the entire data analysis process

• All possible types of data analysis: searching of the common patterns for data groups comparisons, exploring outlying data points, assessing missing variables, etc.

Business
Intelligence

• BI implementation and operation to help analyze data and provide intelligent insights that maximize operational efficiency and create a competitive advantage

• BI performance management

Data Visualization

• Develop interactive reporting solutions

• Develop dashboards, platforms, and UX/UI services for data representation and manipulation

• Improve existing visualization solutions for clients

• Prepare client data for visualization and analytics

• Provide client with valuable insights using data visualization tools

• Enhance analytical power by providing interactive visualizations

• Streaming and real-time data visualization

AI, Machine Learning & Deep Learning

• Engineer complex ML/DL pipelines that can accommodate multimodal data, including text and images

• Design and implement AI solutions

• Extract data insights using AI and ML

• Cloud-based AI/ML platform integration

• Computer vision, natural language processing, and optimization

Contact us
Our Technology Tool Stack
Databases

• Amazon Redshift

• Microsoft SQL Server

• BigQuery

• PostgreSQL

• Oracle

• Snowflake

Tools & Frameworks

• Databricks

• Apache Spark

• Apache NiFi

• Talend

• Apache Airflow

• Keras

• Tensorflow

• PyTorch

• MlFlow

Infrastructure

• AWS

• Microsoft Azure

• Google Cloud