How organizations can evolve from data-driven to information-driven

This article was originally published on Information Management.

Over the last several years, data analytics has become a driving force for organizations wanting to make informed decisions about their businesses and their customers.
With further advancements in open source analytic tools, faster storage and database performance and the advent of sensors and IoT, IDC predicts the big data analytics market is on track to become a $200 billion industry by the end of this decade.
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Sinequa’s Big Splash at Bio IT World 2017

Sinequa has taken part for the 4th consecutive year in Bio IT World Conference & Expo on May 23-25 in Boston. We’ve been delighted to meet with our Biopharma and Life Science customers and partners at the show and share innovative use cases of our solution for the Pharma industry via live demos.
Bio IT Demo


Bio ITBio IT World conference is always for us a great venue to showcase our platform and present how leading biopharma organizations leverage our Cognitive Search & Analytics platform. This year, the attendees were very interested to see how Sinequa combines advanced Search, NLP and Machine Learning capabilities to extract relevant insight from vast structured and unstructured data silos.


Alexion-Martin-Leach-Bio-IT-2017-SinequaIn our joint talk, our customer Alexion shared a testimonial on the implementation of Sinequa for their content analysis project. The presentation highlighted the technology and approaches they used with advanced data visualizations that help explain information sources. ICYMI – please feel free to get your copy here.


Once again, we were very pleased to see the strong interest of many biopharma professionals toward Sinequa insight platform. Our team gave more than a hundred presentations and live demos in the Sinequa Theater Area where they explained a large panel of use cases including R&D Enterprise Search, Clinical Trial Data Discovery & Exploration, Key Opinion Leaders & Subject Matter Experts… .) BioIT17-Demo-TheaterWe hope you enjoyed the conference as much as we did and you could understand how our Cognitive Search & Analytics platform enable leading pharmaceutical organizations drive innovation, accelerate research and shorten drug Time-to-Market. We are already getting excited for next year’s edition! See you all in spring 2018!

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6 Ways Pharma Companies Efficiently Leverage Search-Based Applications (SBA)

Sinequa for Life Sciences

Leading pharma companies are facing big challenges every day. In an ever-more competitive industry, it becomes crucial for these organizations to achieve the following objectives:

  • Speed up submission of New Drug Applications to reduce costs for new drugs development
  • Make educated decisions to continue or stop drug trials based on all clinical trial data available
  • Provide researchers with a unified access across the entire organization to all structured and unstructured data from both internal and external wide variety of sources
  • Drive innovation, accelerate research and shorten Drug Time-to-Market
  • Foster cooperation in R&D while respecting information governance and security
  • Optimize clinical trials and catalyze drug repositioning

Below, we will highlight 6 ways a pharma company can use real-time Big Data Search and Analytics to leverage Search Based Applications (SBA) and raise its competitiveness:

1. Quickly Establish a Network of Experts

You can find a network of experts, e.g. for a drug repositioning project, you will be looking for experts on the related drug, molecules and their Mechanism of Action, medical experts, geneticists, biochemists, etc. For example, you can get an “Expert Graph” calculated from the “footprint” experts leave in texts and data. You can also “link” people by their joint appearance in a document, even to the point of requiring that they be mentioned in the same sentence.

2. Find Scientific Partners/CROs

Similar to the network of experts within your own company, you can extend your search for experts on R&D topics to external research organizations in order to identify the most promising collaboration partners in a given field.

3. R&D Intelligence

Another important point is to discover knowledge in a particular field and detect correlations by sentence-level co-occurrence of topics across all your documents.

4. R&D News Alerts

The access to the latest scientific information of your field with automatic alerts may be of great interest. Via this information, you can discover research trends in your field. This Search Based Application must cover millions of documents: all accessible external data sources, e.g. publications, Embase, Medline, Scopus, clinical trial reports, etc. Internal sources, e.g. SharePoint, Documentum, etc.

5. R&D Search by Chemical Structures

Another way to leverage your SBAs is being able to simply “throw” a drawing of a molecular structure in the search platform, by a drag-and-drop of a .mol description file and automatically detect the drugs using this molecule, their scientific and brand names, the diseases treated with these drugs, etc.

6. Optimize Clinical Trials

You can transform your growing clinical trials data to a valuable asset by building an app that lets you search content with very precise criteria and retrieve subjects that have shown certain diseases by specifying exact or fuzzy values on the right variable for instance. You can also search datasets based on the structure and metadata and search across many drugs and studies, merging current data silos.

Curious to get some concrete use cases at leading pharma companies among our customers? Please download our Life Sciences whitepaper or contact our team for more details!

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