Focus less on data wrangling—and more on analysis and interpretation
Data scientists can spend up to 80% of their time finding, cleaning, and organizing data to get the relevant and reliable datasets their analytics models and AI projects need. Through flexible, easy-to-integrate data APIs, Nexis Data as a Service (DaaS) provides quick access to a vast collection of structurally consistent and normalized big data.
So, data scientists can complement their internal data sources with a targeted backfill and prospective data feed to uncover correlations and intelligence that increase decision-making accuracy.
With Nexis Data as a Service (DaaS), data scientists can:
- Leverage large volumes of global historical news content
- Access one of the largest patent data sets spanning 100+ authorities
- Use metadata and content enrichments to easily refine data results
- Integrate consistent, semi-structured data into data analysis tools
Data science applications for Nexis Data as a Service (DaaS) include:
Supporting strategic planning
Analyze the competitive landscape with data gathered from traditional and web news sources, company and industry information, and patents data.
Improving critical business processes
Integrate big data into machine learning applications to increase the efficiency and effectiveness of critical business processes.
Responding proactively to market opportunities or disruptions
Quickly identify local and global movements and event triggers.
Enriching your Natural Language Processing
Take advantage of social commentary and semantic analytics to strengthen your NLP pipe.
Making better investment decisions
Conduct quant modeling to inform investment strategies by mutual fund, hedge fund and institutional investors.