Businesses collect thousands of data points each day, but those that effectively use the data they’re collecting see an average increase of 8 percent in their revenues and an average decrease of 10 ...

Part 1 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the big data business analytics space. Anything But Business As Usual Business analysis and data ...

Some RIA firms that assemble their RIA tech stack may also choose to add something relatively new – risk analytics software – as part of their practice. As it helps assess and manage industry-specific ...

Big data analytics tools have become indispensable, as they offer the insights necessary for organizations to make informed decisions, understand market trends and drive innovation. These platforms ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise analytics vendor Tibco is updating its software portfolio ...

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify research and statistical studies.Vi ...

Today's construction work is running up to the speed of technology development. Many people use Construction Data Analytics Software. It is considered as a powerful tool for the construction industry ...

Sartorius Stedim Biotech (SSB), a leading international partner of the biopharmaceutical industry today announced the new SIMCA ® 16 software for multivariate data analytics is available from its ...

Data analytics trends like the growth of AIOps and "small data" are influencing this emerging technology, enabling it to progress at a faster rate. Written by eWEEK content and product recommendations ...

Data analytics, business intelligence and data visualization software are critical components of the big data technology stack. They are the tools that everyone from everyday business users to ...