Analytics and Data Science News for the Week of August 29; Updates from Domo, Power BI, Qrvey & More

Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of August 29, 2025.

Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Analytics and Data Science News for the Week of August 29, 2025

Domo Deepens AWS Partnership to Accelerate GenAI Adoption

Domo announced a strategic collaboration agreement with AWS to boost enterprise adoption of generative AI. The partnership will expand Domo’s suite of GenAI solutions and support seamless integration with AWS AI services, enabling customers to stay agile and innovative as AI capabilities accelerate.

Read more → https://www.domo.com/news/press/domo-strengthens-partnership-with-aws-through-strategic-collaboration-agreement-to-drive-rapid-adoption-of-generative-ai-solutions

Power BI Introduces Semantic Model Refresh Templates for Advanced Orchestration

Microsoft Power BI now offers Semantic Model Refresh Templates in preview, enabling users to orchestrate semantic model refreshes with Fabric Data Pipelines. The new feature brings a template gallery for common scenarios like event-driven refresh, refresh after dataflow runs, scheduled refreshes, and sequencing multiple semantic models.

Read more → https://powerbi.microsoft.com/en-us/blog/semantic-model-refresh-templates-in-power-bi-preview/

Qrvey Launches Embedded Analytics Evaluation Center for SaaS Leaders

Qrvey has unveiled its Embedded Analytics Evaluation Center, a comprehensive resource hub designed to help SaaS product and engineering teams make faster, more informed decisions when selecting embedded analytics solutions. Tailored for multi-tenant SaaS environments, the center offers expert-driven evaluation guides, interactive vendor scorecards, deep-dive articles, and a curated list of critical questions to ask vendors.

Read more → https://www.accessnewswire.com/newsroom/en/computers-technology-and-internet/qrvey-launches-embedded-analytics-evaluation-center-to-help-saas-1065273

Expert Insights

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

SR Thought Leaders: Juicy Fruit Gum, the First Barcode & Data Storytelling by Dr. Joe Perez

What makes a tale of gum and grocery lines so interesting? This is a story of perseverance and the joy of discovery; it includes the sort of surprising turn that makes data storytelling so effective. Much like that first beep at the Marsh Supermarket in 1974, the best stories go beyond simply informing the listener. They surprise us, shift our perspective, and reveal doors we didn’t know existed.

Read on Solutions Review

SR Thought Leaders: Dear C-Suite: You Don’t Always Need a Data Revolution by Samir Sharma

I’m probably doing myself out of a job here! Here’s a truth most consultants won’t tell you: Your business probably doesn’t need a multi-million-pound “data transformation” to survive. But that’s not the story you’re sold.

Read on Solutions Review

On-Demand Jam Session Featuring Wayne Eckerson: The Ins and Outs of Creating Data Contracts for Data Products

A data product implies a commitment to deliver a data asset with specific characteristics at a certain time through a specific channel with an agreed-upon level of quality and consistency, among other things. But how can a data provider guarantee its claims? How can a data producer check whether the producer has delivered the data asset as promised?

Watch on Insight Jam

For consideration in future analytics and data science news roundups, send your announcements to the editor: tking@solutionsreview.com.