Digital transformation is more than a business buzzword; it’s a necessity in the modern business landscape. But while many organisations are taking aim at digital transformation, the data analysis and interpretation central to the process—an estimated 60 to 85 percent of big data projects fail to hit the mark. Why are organisations struggling to achieve results?
Whether your company wants to undertake brand data research, conduct financial trend analysis or develop machine learning algorithms, you need relevant, high-quality, normalised big data, enriched with metadata, and delivered via an easy-to-integrate API from an experienced content aggregator.
For more than 40 years, LexisNexis has built solid relationships with global news and data providers in support of relevant data aggregation spanning a multitude of sources and topics. Nexis DaaS APIs empower organisations with a curated content corpus of normalised big data. Unmatched for their variety and volume, the datasets link organisations to the information needed for qualitative and quantitative data analysis and ultimately, success-fueling insights.
More than 125 million searches annually
Over 1 million documents downloaded daily
Redundant architecture including a separate redundant system for disaster recovery that is tested multiple times a year
99.91% application reliability
99.97% application availability
Relying on internal data alone can keep even the best data projects on the ground. External sources provide additional dimensions for data projects, allowing you to launch AI or machine learning applications that reveal actionable information.
Need alternative data to complement your in-house data sets? Talk to one of our data integration specialists about the Optimal delivery APIs at the CORE of Nexis DaaS and ask about our developer’s portal.