Gartner Named Sinequa a Leader in Its Magic Quadrant for Insight Engines

As the CEO of Sinequa, I am proud that Sinequa was recognized as a leader in the recently released Magic Quadrant for Insight Engines 2017. Being a Gartner Leader, once again, underlines our continued progress that has led to this renewed leadership position in a Gartner Magic Quadrant. (We have previously been positioned as a leader in the Magic Quadrant for Enterprise Search.)  Gartner selects leaders for their “Completeness of Vision” and their “Ability to Execute” Good to see that others find our vision convincing and believe in our ability to realize it!

More reassuring still is the testimonial of our customers that led Gartner to state that “reference customers regarded Sinequa’s roadmap and future vision for its software to be particularly attractive. All indicated that those were significant reasons for choosing the software.”

As an established Cognitive Search platform, we’re continuing to evolve our vision and invest in enabling the largest organizations such as Airbus, AstraZeneca, Bristol Myers Squibb, Credit Agricole, and Siemens around the globe to get more value from their ever growing and diverse Enterprise data, as well as broadening the impact of search and analytics within the digital workplace of their employees.

According to Gartner:

“Insight engines apply relevancy methods to describe, discover, organize and analyze data. This allows existing or synthesized information to be delivered proactively or interactively, and in the context of digital workers, customers or constituents at timely business moments.”

Gartner-Magic-Quadrant-for-Insight-Engines-2017-Sinequa

Get your copy of the full report here and see why Sinequa is among the 3 leaders over the 13 vendors who participated in this Magic Quadrant.

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Sinequa’s Cognitive Search & Analytics Platform Receives an Award from BigData Insider

Last night, Sinequa participated in the Readers’ Choice BigData Insider Award Gala in Augsburg, Germany. From April 19 to August 31, 2016, the readers nominated their IT Vendor of the Year across six portals: BigData insider, cloud computing Insider, Datacenter Insider, IP Insider, Security insiders and Storage insiders. In total, more than 34,000 readers voted for their favorite solutions.

As a result of the vote, Sinequa’s Cognitive Search & Analytics platform won the Silver Award in the “Big Data Management & System Tools” category. In the same category, Talend and SAS received respectively the Platinum Award and the Gold Award.

Big Data Insider Award 2016

“We are honored to receive this distinction resulting from the vote of the readers of BigData Insider comprised of customers and partners. This is a great recognition for Sinequa’s growing momentum in the DACH region,” said Laurent Fanichet, Vice President, Marketing at Sinequa.

Sinequa @ BigData-Insider-Awards-2016

Bild: Dominik Sauer / VIT
From left to right: Matthias Hintenaus, Sinequa, Andreas Gödde, SAS and Harald Weimer Talend.

 

 

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Finance & Banking: Collecting High Value from Cognitive Search and Content Analytics

In today’s rapidly changing technology climate, financial services customers expect their banks, insurance companies and asset management providers to know them. It’s expected that providers know about recent transactions, account details, and even anticipate future needs. But this can be challenging with the numerous silos of content in which customer data resides. With a 360° view of the customer through cognitive search and analytics, financial services organizations can deliver the customer experience that provides more value, drives increased sales and meets rapidly evolving customer expectations.

As an example, Crédit Agricole, one of the largest banks in the world, has launched an ambitious project to deliver a new digital workplace, offering a 360° view of customers to its representatives as well as to the customers themselves. The bank’s more than 60,000 internal users will be able to know the exact situation of the customer in front of them, to find the most relevant offerings for the customer and the corresponding procedures. The customers connecting to the bank’s online service also find themselves in a similar “work place” that allows them to know the current status of all their business with the bank including accounts, contracts, records of transactions, share portfolio and share prices, banking charges, additional services, and more.

This comprehensive “work place” is created through inclusive enterprise search and analytics of all of the bank’s data sources. From CRM and account transaction applications to external sources such as stock exchange data, corporate websites, financial and trading news-feeds, the bank can provide a complete customer picture from which to deliver robust service, new offerings and build increased customer satisfaction.

Cognitive Search and Analytics platforms index all the structured and unstructured data sources and create a semantically enriched index, optimized for performance in dealing with user search queries.  In fact, some search and analytics solutions even offer as many as 150 smart connectors, ‘out of the box,’ that can seamlessly connect multiple sources of data.  These companies integrate your company’s and industry specific dictionaries allowing the information to be integrated and indexed, putting your specific knowledge ‘under the hood’ of one platform – making it an intelligent partner for workers looking for business insight at their digital workplace.

See here how Sinequa’s Cognitive & Analytics platform brings business value to Finance and Banking organizations.

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Join Sinequa at Bio-IT World Conference & Expo 2016 (Booth #421)

Sinequa will present and exhibit at Bio IT World Conference & Expo that will take place on April 5-7 at the Seaport World Trade Center in Boston, USA.

Sinequa For Life Sciences

We invite you to stop by the Sinequa booth #421 to discuss innovative use cases of our solution for the Pharma industry – Sinequa For Life Sciences - and see how our customers raised their competitiveness by implementing our Big Data Search and Analytics solution across the most diverse data silos.

  

Also, make sure to book your agenda and attend our presentation in the Bioinformatics Track #5:

Wednesday, April 6, at 2:55-3:10 PM

“Increasing the Competitiveness of Pharma Companies:
Real Time Search and Analytics Across Structured & Unstructured Data”

Speaker: Xavier Pornain, Vice President of WW Sales & Alliances

Book your agenda

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Finding the Information ‘Needle in a Haystack’

Below is a contributed article from our VP Marketing, Laurent Fanichet (@fanichet). The original version is available on Biosciencetechnology.com.

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Sinequa - Finding the Information ‘Needle in a Haystack’

Digging through volumes of pharmaceutical data in any form, be that of lab reports, experimental results, clinical trial reports, scientific publications, patent filings, to even emails is a gargantuan task.  The data may deal with diseases, genes, drugs, active agents and mechanisms of action and can be textual, structured data like molecule structures, formulae, SAS data sets from clinical trials, curves, diagrams, and more.  When put together, all of this information can be retained in hundreds of millions of documents and billions of database records.

Compounding this volume of information are the billions of database records from internal and external trade sources that may be related to a life sciences project.  World-renowned pharmaceutical and chemical companies, such as AstraZeneca and Biogen, rely on search and analytic technology to solve real world problems by providing a single point of access to information extracted from all these data sources.  Search and Analytics solutions specialize in finding that data ‘needle in a haystack.’

To find that ‘needle,’ advanced organizations turn to the power of Search Based Applications (SBA).  Imagine that your company has an idea, but the data required to obtain meaningful results is spread across multiple business units or even enterprises in different formats.  What if you could quickly develop an application that could bring all the data together and allow you to create search queries to find the data that you require? And more importantly, what if the application could be built in a month’s time using highly advanced natural language processing that allows you to make sense of the complex information in scientific publications or clinical trial reports using artificial intelligence and machine learning from Spark; statistical analysis of structured data; and above all, combined statistical and linguistic/semantic analysis?

Advanced search and analytics platforms index all the structured and unstructured data sources and create a semantically enriched index, optimized for performance in dealing with user search queries.  In fact, some search and analytics solutions even offer as many as 140 smart connectors, ‘out of the box,’ that can seamlessly connect multiple sources of data.These companies integrate your company’s and industry specific dictionaries and ontologies allowing the information to be integrated and indexed, putting your specific knowledge ‘under the hood’ of one platform – making it an intelligent partner for anyone searching for relevant information for his/her subject.

The Pharma industry is starting to efficiently leverage SBAs in multiple ways. A major benefit of SBAs is that it allows companies to find subject experts. A company can quickly get a dynamically calculated list of people with their respective domains of expertise related to your question/subject. The results correspond to an ‘Expert Graph’ calculated from the ‘footprint’ experts leave in texts and data.

To make the most of your volumes of data, look for search and analytics solutions that will also allow you to build on your network of experts outside of your own internal resources.  For example, you can extend your search for experts on a particular subject by ploughing through massive amounts of data, in particular scientific publications, publicly available trial reports, patent filings, and reports from previous collaboration projects, in order to identify the best available experts – “Key Opinion Leaders” – and the organizations they belong to.

It’s also valuable to use a search and analytics solution to access the latest scientific information in your field with automatic alerts.  This is extremely valuable because it allows you to discover research trends in your field and potentially monitor the competition.  Such SBAs may easily cover as many as 110 million documents: all accessible external data sources including publications, Embase, Medline, Scopus, clinical trial reports and your company’s internal data sources via SharePoint, Documentum, etc.

Clinical trials going over many years generate millions of SAS datasets and billions of rows per drugs and studies.  Over time, Biostatisticians face tremendous challenges performing their analysis with the right datasets.  It is difficult to get a comprehensive list of patients having certain diseases within trials on a drug; ensuring completeness of results is nearly impossible with traditional tools and processes.

With powerful search and analytics indexing technology, scientists are able to search complex content with very precise criteria.  They can retrieve subjects that have shown certain diseases by specifying exact or fuzzy values on the AELLT variable for instance.  The scientists can then filter based on additional criteria like age and can combine about 900 CDISC variables and add any specific variables you may have.  They can search datasets based on the structure and metadata. Possibly even more important, the scientists can even search across many drugs and studies, merging current data silos.  In total, pharmaceutical company scientists are transforming their growing clinical trials data to a valuable asset that can be searched in real time.

Taken all together, an advanced search and analytics platform is able to leverage data indexing and analytics technology and enable organizations to create their own Search Based Applications.  In doing so, companies are able to:

  1. Accelerate research and time-to-market of drugs
  2. Quickly find experts on a particular subject
  3. Find key opinion leaders and R&D cooperation partners
  4. Push latest news on a subject to partners
  5. Monitor publications on particular subjects

The result? That ‘Needle in the Haystack’ just became much easier to find!

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