Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Analytics 52

Analytics Trends Data Big Data 52

Kentik

JANUARY 19, 2016

Network data is a source of truth for everything in the modern business. Network data not only provides insight into the health and performance of IT infrastructure; it can also provide business intelligence. Enterprises are crunching flow records with big data.

Network 40

Network Cloud Data Big Data 40

Altexsoft

SEPTEMBER 6, 2018

An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Our clients considered working with large datasets a big data problem. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data.

Tools 16

Tools Data Technical Advisors Technical Review 16

TIBCO - Connected Intelligence

NOVEMBER 22, 2019

A recent survey by NewVantage Partner shows a significant decline in companies succeeding on the journey to becoming data-driven, despite the well-known fact that organizations need to be more data-driven to compete and out-perform. gives you real-time streaming data access and analysis. can provide that path.

Analytics 26

Analytics Artificial Intelligence Artificial Inteligence Survey 26

Datavail

SEPTEMBER 8, 2022

According to Statista , in 2021 companies used an average of 110 software as a service (SaaS) applications in their IT environment, which is a sevenfold increase from just 16 applications in 2017. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

Data 40

Data Nonprofit Quality Assurance Education 40