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Whether you work with a charity, a hospital or an educational institution, finding the right donors for your cause can be a massive challenge.
Development professionals often find themselves managing...
In a recent live webinar event, LexisNexis team members Margaret Hart and Hatim El Faiz teamed up to share what makes Nexis Data Lab such a powerful data research and analytics tool for academic researchers...
Sometimes, the threat of financial consequences is enough to spur organizations to action. For example, in 2020, the threat of restricted access to the U.S. market spurred a company to make changes to...
You know you and your organization need competitive intelligence, but where to begin? What tools should you use, and will they be responsive enough to keep you up to date? How do you sift through all the...
The latest tool in the marketing technology arsenal is competitive intelligence (CI) – but what is it?
Everyone has their own definition of CI, but essentially it refers to the action of gathering...
“Predictive analytics models are only as good as the data that goes into them,” notes Heather Lewis, Solutions Manager for Data as a Service at LexisNexis. In this mini-webinar now available on demand, Heather discusses the critical role data plays in predictive analytics—and reveals the most pressing questions you should ask any potential data vendor to ensure you’re getting the greater context needed to unlock actionable insights.
For example, is the data provider you’re considering an aggregator of data? If so, this means the provider pulls together content from a variety of unique sources. Accessing content from a data aggregator offers you greater breadth and depth of data than you would likely find from a single data provider.
The variety of information you get from an aggregator is a huge plus for your predictive analytics and business research efforts, but it also begs an important follow-up question: Where does the aggregator get its information? To help ensure compliance, you need to know that the data you’re feeding into your tools and platforms is credible
Other considerations to make when deciding which data provider to partner with include:
You can watch Heather’s entire 5-minute webinar now to learn more about the kinds of questions you should be asking potential data vendors.
Once you finish watching the webinar, take the time to learn more about Nexis Data as a Service (DaaS). Our DaaS platform provides the complimentary third-party data you need to enhance and enrich your big data analytics workloads.
We offer text-based, semi-structured datasets ready for immediate use in a wide variety of use cases—from machine learning (ML) model training and Natural Language Processing (NLP) to academic research and sentiment analyses for more effective marketing. Our data universe goes back more than 45 years and includes:
Every day, 4.5 million new documents are added to this already unmatched data universe from our 80 million sources of licensed and open content. Additionally, we offer a range of API and on-premises deployment options to give you maximum flexibility in how data is delivered to your applications and platforms.
Watch the webinar to learn more about which questions to ask and the factors to consider before you settle on a data provider. Then, discover the benefits of complementing your internal data with our third-party data with access to our developers portal.