Webinar: DISQOVER for Chemistry Search
Register and learn how public data sources are integrated and can be linked to internal or third-party chemical data with DISQOVER.
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Transform Data Into Knowledge.
DISQOVER delivers actionable insights by creating data literacy and search accuracy.
The DISQOVER self-service knowledge discovery platform enables smarter data-driven decisions and accelerates time to value by unlocking insights from siloed data.
Why choose DISQOVER?
More about DISQOVER
A complete and single view of trusted data
Aggregate, transform, and orchestrate data from multiple data silos, to deliver trusted data across organizations enabling accurate and timely decisions.
Self-service knowledge discovery for business users
One consistent and easy-to-use interface democratizes access to data through self-service knowledge discovery which enables business users to blend, wrangle and mash-up datasets.
Securely share with peers, partners and customers
A unified data-layer blends enterprise applications and datasets which allows to securely share insights with peers, partners, and customers, regardless of the data location or format.
Minimize big data platform complexity
Automating and integrating workflows to simplify deployments without the burden of dealing with heterogeneous and stand-alone platforms, dozens of disconnected servers or applications.
Links for Lives
The data tsunami is happening right now as new technologies pour out data at hyper speed. Over the next 5 years, 500 million new apps will be developed and yet, 73% of all generated data will remain unanalyzed because it is siloed and disconnected. By democratizing access to all your data in a secure way, ONTOFORCE empowers data-driven decisions and speeds up go-to-market. We connect your siloed data into a linked data ecosystem so everyone can securely integrate, analyze, and extract data faster, bringing simplicity to complexity. We have proven unimaginable insights can be retrieved with the goal to move drugs faster to market and ultimately help patients.
Explore DISQOVER
Stories and cases
DISQOVER for new target identification
DISQOVER for new target identification. Identifying potential new targets for disease treatment is a top priority in life sciences: not only does it provide valuable insights, it’s also key to getting an early-mover advantage over competitors. By integrating information from internal, public and third-party sources in a highly efficient manner, DISQOVER greatly speeds up this process.
Read onDISQOVER for biomarker identification
The vast number of potential biological signals to assay makes biomarker identification a challenging task. DISQOVER empowers users to plow through numerous sources in an efficient way, speeding up the process and providing important competitive advantages.
Read on
ONTOFORCE recognized in Gartner’s Hype Cycle for Life Science Research and Development, 2020
Every year, the world’s leading research and advisory company, Gartner publishes its Hype Cycle for Life Science Research and Development. This report aims to help C-Level understand about innovative technologies, prioritize their investments and drive organizational change.
Read onSemantic Search 2.0: The new era of life sciences data research
The term ‘big data’ seems old school now that ‘machine learning’, ‘deep learning’ and emerging concepts such as ‘edge AI’ are the hypes of the day. However, despite our general familiarity with the concept of big data, challenges related to data-driven decision making still remain. Several key learnings have emerged over the last decade. How do we use our expensive data processing and analytics tools to generate actionable insights?
"Just imagine using DISQOVER as a global tool! We could bring disease communities together in an efficient way and enable all to find each other much faster."
"Our eagle-i integration with the DISQOVER platform allows us to visualize data, along with 60 public data sources and about 29 different data types."
"DISQOVER allows us to retrieve a lot more information than we could ever get from the original data source or any other technology"
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