Data was once tangible and tactile. Managing physical files, paper documents, and standard records was relatively straightforward. Today, however, those sources have grown increasingly complex, ...
As having proximity and location data becomes less of a nice-to-have and more of a necessity, it’s important for brands to know not only the benefits that using such data will bring but also the ...
Alternative data refers to data collected from nontraditional sources, like social media and satellite imagery. This type of ...
Burgeoning volumes of work and workforce data present organizations with growing opportunities to develop data-driven insights that can significantly shape organizational strategy and success.
When we talk about artificial intelligence (AI) in business and society today, what we really mean is machine learning (ML). This refers to applications that use algorithms (a set of instructions) to ...
Economic stories are often built on data. This information can shape how the public understands financial conditions, government policy and business performance. But in our data-saturated information ...
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey ...
Data ingestion is the process of obtaining and importing data for immediate use or storage in a database. To ingest something is to take something in or absorb something. Data can be streamed in real ...
The AHEAD Institute warehouses large, research-ready databases to meet your project's needs. Many databases are de-identified and using them has been deemed non-human subjects research by the Saint ...
An employment diagnostic commonly relies on data from a national labour force survey (LFS) as a basis for analysing labour market indicators along with economic and other indicators from other sources ...
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