Data-Driven Approach: Extracting Value from Enterprise Data.
In today's data intensive organizations, 80% to 90% of enterprise data is "unstructured" either hosted on premise, in the Cloud or in mixed infrastructures. Unstructured data is often composed of texts in different languages: documents, publications, reports, emails along with more and more rich-media content like videos, images and audio.
Sinequa provides a Cognitive Search & Analytics platform to deal with large volumes of structured and, more importantly, unstructured data. This platform combines a unique blend of technologies: a powerful multilingual search engine, deep content analytics including Natural Language Processing and machine learning algorithms, high performance and out-of-the-box connectivity to more than 200 data sources, including the most common enterprise applications. It helps data-driven organizations across many different verticals such as Aerospace, Banking, Government, Life Sciences, Manufacturing, Utilities, Retail and more, get business-relevant information and insight out of vast amounts of most heterogeneous data.
Data Intensive Organizations Select Sinequa to:
- Gain insight from Big Data and user behavior
- Obtain access to relevant business information
- Cope with information complexity and diversity
- Benefit from powerful content analytics with NLP and Machine Learning
Download the Cognitive Search & Analytics for Data-intensive Organizations brochure.
The active investment management industry exists to generate above-market returns, called investment alpha. With passive index managers plundering assets from active managers, this approach isn't sustainable. Active investment managers need to surface the value of data inside their firms.