定位“BI PaaS”，构建各行业均适用的通用型、标准化产品。 36氪获悉，商业智能BI平台「衡石科技」已完成A+轮数千万元融资，由老股东常春藤资本独投。本轮资金将用于进一步的产品研发和市场拓展。 衡石科技成立于2016年，是36氪持续关注的一家企业。衡石科技将公司定位为“BI PaaS”，主要以Data Analytics Infra. 的形式，面向SaaS 厂商、ISV和垂直行业解决方案型厂商 ...

ORLANDO, Fla.--(BUSINESS WIRE)--Datalogz, the pioneer in ending BI Sprawl for data-mature entities, announced its exhibition at the Gartner® Data & Analytics Summit 2025, and the release of the State ...

Discover why most Power BI dashboards underperform and what separates high-impact dashboards through better data modeling, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Business analytics is an increasingly powerful tool for organisations, but one that is associated with steep learning curves and significant investments in infrastructure. The idea of using data to ...

Business intelligence is an increasingly well-funded category in the software-as-a-service market. By handling large amounts of data to analyze and benchmark lines of business, BI promises to help ...

BOSTON--(BUSINESS WIRE)--AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced expanded integrations with Power BI and ...

A new Gartner report on the analytics/business intelligence market places Microsoft in the lead position of the field. The Redmond cloud giant stands apart and alone atop the axes for both the ability ...

Microsoft has rolled out deeper Copilot integration across Power BI, from DAX Query View to Smart Narrative and prompt-based report generation, enabling faster analytics and AI-driven insights without ...

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, ...

Overview Marketing analytics certifications improve skills in campaign tracking, customer insights, attribution modeling, and ...

Walk into most large enterprises today and you'll find a familiar paradox: more real-time data than ever before, and yet decisions still being made on instinct, experience, and at most, last month's ...