In 2026, data analysis roles still depend heavily on two practical tools: Excel for cleaning, checking, and working through business data, and Tableau for turning that data into dashboards people can ...

Discover how Tableau Data Visualization, BI dashboards, and Tableau Prep work together as a powerful data visualization tool for interactive charts, cleaner data, and clearer data storytelling.

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Startups rarely suffer from a lack of data. What they lack is clarity. Dashboards multiply. Metrics pile up. Traffic numbers spike and dip. Yet many founders still struggle to answer the only question ...

NEW YORK/LONDON, Feb 3 (Reuters) - A significant selloff among U.S. and European data analytics, professional services and software companies deepened on Tuesday, with some investors pointing to a ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Jan 5, 2026 at 2:28 ...

Learn to analyze data to solve complex problems with a business analytics degree from Southern Miss. Prepare for high-demand careers in data analytics, business intelligence, and data science with ...

Salesforce delivered an earnings beat but fell just short of consensus on revenue. The company issued a revenue forecast for the current quarter that topped estimates. Revenue from Agentforce AI ...

For students enrolled Spring 2026 and beyond. The Big Data and Applied AI option reflects the growing role of artificial intelligence in business decision-making. It provides students with rigorous ...

A cybersecurity incident at analytics provider Mixpanel announced just hours before the U.S. Thanksgiving holiday weekend could set a new standard for how not to announce a data breach. To recap: In a ...

How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...