How Nexis^® Data as a Service (DaaS) Supports Data Analysis & Interpretation

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Big data aggregation & enrichment

The exponential growth of big data makes it even more challenging for companies to find crucial data to drive business insights. With Nexis Data as a Service (DaaS), you can access smarter data through an easy-to-integrate data API and unlock the power of predictive analytics, build quantitative financial models, and fuel your machine learning applications.

Through automated data aggregation from trusted global sources, Nexis Data as a Service (DaaS) delivers relevant data for your data analysis, data interpretation, and other big data projects. We help provide the broadest insights across brands and markets, and our comprehensive content coverage is complemented by an unmatched data fabrication, classification, and enrichment process.

The data enrichment features of Nexis Data as a Service (DaaS)

Our proprietary data categorization, along with third-party indexing and tagging, enables more efficient, targeted data calls that capture relevant data. Retrieved data maintains the legacy LexisNexis SmartIndexing tags, which can then be supplemented with your own enrichments. Other data enrichment features of Nexis Data as a Service (DaaS) include:

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Data normalization

This feature allows for standard and flexible integration of a semi-structured XML data feed into any database or application. Our data enrichments cover 125 descriptive metadata files including headline, topic, index time, publisher, country, language, editorial source rank, source topic, and news category.

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Algorithmic semantic analysis

Algorithmic semantic analysis enables discovery of relevant data across content produced in different languages including English, French, German, Spanish, Italian, Russian, Dutch, Brazilian-Portuguese, and Arabic.

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Named-entity extraction

Nexis Data as a Service (DaaS) uses named-entity extraction to examine text and identify relevant entities (companies, people, places), subjects, events, and geo-location.

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Automated Topical classification

Our award-winning SmartIndexing Technology™ uses natural language processing and machine learning techniques to analyze and apply metadata to more than 7,000 subjects and industries. This enables you to cut through the noise and quickly access the relevant data needed for your big data applications.

Other notable features of Nexis Data as a Service (DaaS) for robust data enrichment

Comprehensive

Tap into alternative data sources, unique for their volume and variety, to support data analysis and interpretation for a wide range of financial, corporate, risk, academic, and brand research.

Optimal

Access semi-structured datasets aligned to your specific data needs, via easy-to-integrate Bulk or RESTful APIs to energize big data projects including trend analysis, machine learning, predictive analytics and more.

Experienced

Move from data integration to actionable insights by choosing an experienced Data as a Service partner. As a trusted content aggregator for 45+ years, we’ve pioneered the use of machine learning and data visualization in our applications decades before their mainstream use.

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How Nexis® Data as a Service (DaaS) Supports Data Analysis & Interpretation