All predictive analytics tools can analyze data in generic formats such as CSV, but many tools get along better with those from the same vendor. IBM’s SPSS, for instance, can work directly with ...

Graph analytics is a set of analytic techniques that shows how entities such as people, places and things are related to each other. Unlike traditional data analytics, which is slow and unable to ...

The Gist. Market growth. By 2029, the big data analytics market is predicted to reach over $655 billion, yet only 27% of businesses feel they've become data-driven.

Graph and big data analytics technologies make a powerful combination. Such technology can provide support for data science queries, graph analytics, window functions, percentile calculations, and ...

Depending on the underlying data model used – such as relational, XML, JSON, key-value, geospatial, or graph — a DMSA can take on many different flavors, including traditional SQL analytics, machine ...

As explained in this Edraw article, every data visual has one of the five key objectives—distribution, composition, relationship, trend and comparison. • Distribution: The visuals show how ...

Neptune Analytics automatically allocates compute resources according to the graph’s size and quickly loads all the data in memory to run your queries in seconds,” the company wrote in a blog ...

NEWARK, N.J., July 07, 2025 (GLOBE NEWSWIRE) -- NRSInsights, a provider of sales data and analytics drawn from retail transactions processed through the National Retail Solutions (NRS) point-of-sale ...

CompStak Rolls Out CRE Data Analytic Suite The firm is combining its database of lease comps, sale comps, property information, loan data, and analytics. By Erik Sherman | October 10, 2023 at 08:06 AM ...

Mind the graph. Graph analysis is a whole new area for GIS, according to Esri Founder and President Jack Dangermond, with the potential to promote various new kinds of data discovery, as graph ...