Browsing: Analytics

Burnaby, British Columbia–(Newsfile Corp. – May 12, 2026) – Tantalus Systems (TSX: GRID) (OTCQX: TGMPF) (“Tantalus” or the “Company”), a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data, announced a series of data analytics solutions at its 2026 Tantalus Users Conference (TUC) in Las Vegas, NV, designed…

Students in SVC’s Data Science and Analytics Club achieve success at DataFest | Latrobe, PA | Saint Vincent College EventsAlex G. McKenna School of Business, Economics and GovernmentHerbert W. Boyer School of Natural Sciences, Mathematics and Computing

The nine best Polar Analytics alternatives in 2026 are Luca AI, Triple Whale, Northbeam, Lifetimely, Daasity, Peel Insights, TrueProfit, Glew.io, and Littledata. Luca AI leads because it is an AI reasoning layer over your unified store data that answers plain-English questions, finds root causes, simulates scenarios, and pushes scheduled reports to Slack. The other eight…

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space.

Data scientists sit at the intersection of analytics, machine learning (ML) and AI, translating messy, real-world data into decisions that drive business outcomes. As the volume and complexity of enterprise data has grown, so has the strategic importance of the role: today, data scientists are among the most sought-after practitioners in the modern organization.

From SLM (Service Life-Cycle Management) to SCM (Supply Chain Management) and ERP (Enterprise Resource Planning) to CRM (Customer Relationship Management), the volume of data that these cloud applications generate today is overwhelming and accelerating at a phenomenal rate. To help organizations extract actionable insights from the data they generate, recognized technology companies and startups worldwide…

Data scientists, who utilize predictive analytics, earn an average annual salary of $112,590 [1].

Predictive analytics is one of the four key types of data analytics, and typically forecasts what will happen in the future, such as how sales will shift during different seasons or how consumers will respond to a change in price. Businesses often use predictive analytics to make data-driven decisions and optimise outcomes.

In 2025, research and advisory firm Gartner released a forecast for how the business landscape is expected to change in the coming years based on analyzing current trends. They predicted significant changes related to the use of artificial intelligence (AI), including that 50% of business decisions will be augmented or automated by AI agents by…