Professional Services
Address complex data challenges to accelerate new discoveries
We solve data integration and applied analytics challenges across life sciences and engineering industries
Elsevier Professional Services is an agile team of practice consultants that specialize in bespoke data integration and applied analytics. With career backgrounds in data science, informatics, chemistry, pre-clinical research, clinical development, and information management, their experience in industry-standard taxonomies and custom data curation enables them to addresses complex data challenges across industries and scientific domains.
How we help our customers
Elsevier's Professional Services team integrates, harmonizes and analyzes data with predictive analytics and machine learning to accelerate discoveries, reduce risk, provide market intelligence, identify potential drug and patient safety signals, and much more. Check out these four key areas where our team can support your complex data challenges.
Drug design
optimization
- Target-related custom reports
- Disease pathway analysis
- Scientific opportunity analysis
Capabilities & core services
Semantic technologies
The use of award-winning semantic analytics software to help customers model, semantically annotate, and enrich their internal data, as well as third party data, transforming it into rich, machine-readable clean and contextualized data free from ambiguity.
Data integration & harmonization
The integration and harmonization of internal and external datasets, in both structured and unstructured formats, based on proprietary and industry-standard ontologies and taxonomies.
Workflow solutions
The extraction and querying of data to develop custom repositories or dashboards that serve existing workflows and/or make data available to researchers through a new, integrated point of access.
Custom reporting
The development of custom reports and analytics based on large, integrated sets of Elsevier data solutions, customer data, and/or externally published information.
Predictive analytics & machine learning
The development of custom algorithms and/or the application of industry-leading algorithms and machine learning techniques to harmonized datasets to accelerate data-driven research.
Market insights & reports
Pancreatic cancer report
As an indication of the difficulty in catching pancreatic cancer at an early stage, over half of cases are identified after it has metastasized. New and innovative therapies are needed to address this unmet medical need. In this free report, we analyze emerging trends using Elsevier text & data mining.
Case studies
Customized data sets for improved discovery
See how a pharmaceutical company was able to rely on a customized database created by the Professional Services team to help find reported mutations in cancer cells.
Learn more (PDF, 714.5 KB)
SciBite
Explore award-winning semantic analytics software that combines machine learning with an ontology-led approach. SciBite's core technologies help customers maximise the value from their data by helping them model, semantically annotate and enrich the data, transforming it into rich, machine-readable clean and contextualised data free from ambiguities.
Pharma R&D Today blog
Get a wide range of the latest insights and opinions on pharma-related topics with the Elsevier Pharma R&D blog.