METAPHACTORY HELPS YOU UNLOCK THE VALUE OF YOUR DATA
BY ACCELERATING INNOVATION THROUGH CONSUMABLE KNOWLEDGE
metaphactory supports customers in Pharma & Life Sciences in their digital transformation journey by allowing them to quickly build a cross-data source and cross-departmental data fabric for business users. By tapping the full potential of existing internal and external data sources and making knowledge available and accessible company-wide, you can drive research and innovation and the delivery of new products, boost productivity and support mission-critical business decisions.
Fast-track drug discovery & reduce research costs
Company-wide access to research data and knowledge as well as a data-driven application building platform accelerate time-to-market for new drugs and therapies.
Speed up drug safety review processes & optimize risk control
Existing reasearch findings can be leveraged as supporting metadata in review processes mandated by regulatory agencies, thus speeding up the approval processes.
Reuse existing data and knowledge
Reusability of data and knowledge and the automation of data collection and integration help eliminate error-prone manual processes and allow users to focus on value-adding tasks.
Generate continuous knowledge
Data is transformed into company-wide available knowledge and can drive forecasts and prediction, and support research initiatives and business decisions.
Streamline processes from R&D to clinical trials to manufacturing
Research and lab data become available to manufacturing plants, helping streamline knowledge transfer and the planning of clinical trials, manufacturing and distribution processes.
Align strategic efforts & capitalize on promising opportunities
Surfacing existing knowledge and making data accessible and reusable across the entire organization helps you focus on promising opportunities and increase project success rate.
DO THESE CHALLENGES SOUND FAMILIAR?
Integration of data available in heterogeneous formats and across multiple business units is cumbersome.
Valuable insights from publicly available data sources cannot be integrated into internal analyses.
Low data literacy is slowing down data-driven transformation across the enterprise.
End users struggle to extract meaningful insights from data and often require the help of IT departments.
Analyses are not reusable when business use cases and user needs change.
The process of developing new therapies is time-consuming and error-prone.
DELIVER SOLUTIONS THAT EMPOWER END USERS
With metaphactory you build a cross-data source and cross-departmental data fabric for business users.
metaphactory helps you enhance internal knowlegde and allows end users to leverage data from external studies for their research.
metaphactory's out-of-the-box search and discovery capabilities allow end users to immediately extract knowledge from data.
metaphactory streamlines IT processes and allows end users to consume data on-demand, intuitively and in context.
With metaphactory, data becomes reusable so you can easily cater to new business needs, new use cases or new business users.
With metaphactory, end users extract actionable and trustworthy insights for their daily tasks.
Infectious Disease Experts
Clinical Trial Scoping
Search for clinical trials for a particular disease
Clinical Trial Scoping
Explore studies in detail using knowledge panels
Clinical Trial Scoping
Filter result sets using semantic facets
Search for medication based on disease sympotms and explore result set in context
Explore interactions, diseases and drugs related to a chemical compound
Explore proteins using the integrated protein viewer
Explore proteins using Proteoforms
Chemical Structure Search
Search for a particular chemical formula by drawing it on the board
HOW DOES IT WORK?
Knowledge Graph Creation for Business Users
metaphactory commoditizes Knowledge Graphs, making the technology and its benefits accessible not only to knowledge graph experts but also to business users and domain experts. It supports the process of making data FAIR and enables a cross-departmental Knowledge Graph creation process where all relevant stakeholders can:
Model core domain concepts (such as genes, proteins, drugs, diseases, symptoms, adverse effects, etc.) and relations based on specific business needs in a machine- and human-interpretable format
Map existing internal and publicly available data to the domain model
Describe data sources and document provenance and lineage to build data reliability
Rapid Knowledge Graph Application Building
Through its low-code approach built on a model-driven template mechanism and a rich set of ready-made Web components, metaphactory allows customers to quickly build an intuitive user experience on top of their Knowledge Graph to:
Search, filter and drill down
Discover, visualize and explore relations
Build insightful dashboards
Share results with colleagues
Add and edit data
As things change, metaphactory allows you to add new datasets, new business-oriented data definitions and new concepts to support new data domains, new user groups and new projects.
metaphactory has allowed a variety of customers in the Pharma & Life Sciences sector to deliver flexible and intuitive applications for drug discovery, drug repurposing, clinical trial scoping, and more.
Knowledge Hub for Science & Clinical Analytics at an American Multinational Pharmaceutical Corporation
By leveraging Knowledge Graph technology to make R&D data FAIR, the customer is aiming at digitizing the drug discovery and development process and closing the gap between the research domain and the clinical domain.
Built on top of metaphactory, their knowledge hub for science and clinical analytics brings proprietary data (e.g., studies, experiments & other R&D entities) and public data (e.g., ChEMBL) together and provides researchers, scientists and clinicians with a single entry point into the available data. The knowledge on-demand platform surfaces actionable and meaningful insights and makes knowledge accessible to and consumable by domain users. It helps accelerate R&D data discovery and understanding, and ultimately supports the team in bringing medicine to the market faster.
Omics Data Management at a Large German Pharmaceutical Company
The Knowledge Graph stores gene sequencing data and metadata and makes gene expression data efficiently available across various units. It supports data stewards in making data FAIR and bridging the gap between business and IT. Bioinformaticians and other end users can quickly and easily search for, navigate to, and explore sequencing data for specific diseases and time frames.
Drug Development and Drug Repurposing at a Swiss Multinational Healthcare Company
Implicit information derived from proprietary and public data sources is integrated, connected, and transformed into explicit knowledge for target discovery with the Knowledge Graph. The application built on top empowers end users, such as data scientists, immunologists or systems biologists, to explore data and gain meaningful and actionable insights for drug development and drug repurposing, for example through the exploration of pathways and protein interaction partners.
GET STARTED TODAY
GO FROM IDEA TO PRODUCTION IN A MATTER OF WEEKS
metaphactory delivers maximum flexibility, agility and speed in defining customer-centric user applications by building on W3C open standards and a low-code development approach. It abstracts from the underlying technology complexity and follows an agile approach for designing, testing and deploying Knowledge Graph applications, where continuous iterations are the norm. In this agile cycle, data is the anchor and follows its own innovation cycle.
Get started with metaphactory for free using our 14-day trial and test our platform and all its features without limitations: on-premise or in the cloud!
To find out more about our solution contact us using the form below.
TRY OUR ONLINE DEMO
metaphactory Public Demo System
Experience metaphactory first-hand with the free and open Wikidata dataset! The metaphactory demo instance runs the latest metaphactory version. It showcases key features for search and visualization, as well as federation with additional datasets (such as Uniprot, Ensembl, NCI, MeSH, ChEBI, DrugBank, ChEMBL, etc.), machine learning algorithms and similarity search functionalities (e.g., on chemical structure similarity). Here you can find some Life Sciences examples to get you started!
Request our joint use case description to learn how metaphactory and GraphDB can help you experience data in context, deliver meaningful and actionable insights, empower end users, adapt as you go and drive digital transformation!
Register for our joint webinar "Accelerated R&D with a FAIR Data Fabric in Life Sciences" to learn about our modular approach to R&D data discovery and knowledge consumption in Life Sciences & Pharma using metaphactory and GraphDB.