TIBCO - Connected Intelligence

DECEMBER 22, 2020

Everything from temperature sensor tracking and machinery wear-and-tear to social media metrics and targeted online searches to fraud and forecast trends can be critical information to a successful modern business. . The messages carry real-time inputs, such as which players are on the field, the score, and even the weather.

Analytics 47

Analytics Artificial Inteligence Sport eBook 47

CIO

DECEMBER 18, 2023

Partnering with a company of this type allows access to cutting-edge technologies and ideas used in the context of football and sports management.” TSG partnered with SAP to steadily steer its business toward its goal of becoming an intelligent and socially sustainable company,” says Mayer.

Sport 130

Sport Training Artificial Inteligence Artificial Intelligence 130

Sunflower Lab

MARCH 20, 2024

Learn Your Customers with Business Intelligence In the world of ongoing customer interactions, understanding your customer’s behavior patterns is crucial for a successful business strategy. Power BI is a powerful business intelligence tool that helps you clearly visualize customer behavior patterns.

Analysis 52

Analysis Data Analytics Media 52

Altexsoft

MAY 26, 2021

It’s vital to understand what information can be useful and give a better understanding of business processes — not only to measure success, but also aid in making decisions. In other words, a certain number of metrics and KPIs has to be set up, monitored, and analyzed to be turned into valuable insights. Occupancy rate.

Hotels 64

Hotels Metrics Performance KPI 64

TechCrunch

JANUARY 16, 2021

Any area that is exposed to mass physical engagement (pockets in travel, food, sports, etc.) The army plays an important role in the socialization, education, skills development, social network and fabric of Israeli society. What are the opportunities startups may be able to tap into during these unprecedented times?

Technical Review 354

Technical Review Software Review Trends Systems Review 354

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Ground level of analytics. Data warehouse architecture.

Analytics 102

Analytics Technical Review Technology Applications 102