Analytics and Data Science News for the Week of September 26; Updates from Alteryx, Databricks, Qrvey & More

By Tim King , Executive Editor at Solutions Review
Business Intelligence News,

Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of September 26, 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 September 26, 2025

Cloudera Unifies Data for AI-Driven Analytics Success

Cloudera enhances its platform to unify and govern data for secure and high-performance AI workloads. Enterprises benefit from seamless management across cloud, edge, and on-prem systems—with faster delivery of actionable insights. The upgrade targets efficiency, compliance, and scalability for modern data leaders.

Databricks and OpenAI Make Enterprise AI Plug-and-Play

Databricks and OpenAI team up to bring powerful language models and codeless AI workflows to enterprise data teams. The partnership allows for seamless integration of advanced AI with business analytics, accelerating the path from data to insight.

dbt Labs Warns on Tool Overload and Burnout Among Data Analysts

A dbt Labs report highlights the growing problem of tool sprawl and shadow IT in enterprise analytics. The research signals risks of burnout as analysts juggle too many disconnected platforms.

Gurobi Shows Math Is Still Driving AI

Gurobi’s 2025 State of Mathematical Optimization report highlights optimization’s critical role in scaling machine learning, supply chain, and finance applications. The annual analysis shows how mathematical models underpin faster decisions and smarter AI outcomes for businesses facing today’s complexity.

MathCo Launches SystemicAI for End-to-End Enterprise Insights

MathCo unveils SystemicAI, a suite designed to unify decision-making across the supply chain, finance, and customer engagement. Companies can harness intelligence from siloed units for actionable, on-demand analysis. The technology is built to connect the dots between strategy and results in real time.

Power BI Brings Browser-Based Semantic Model Editing to Everyone

The Power BI Service now lets users create and edit semantic models directly in the browser, supporting over 100 connectors and rich data transformations. Mac users can finally access modeling tools, build reports, refine data relationships, and author DAX—all without desktop software.

ThoughtSpot Promotes ‘Agentic Semantic Layer’ Vision

ThoughtSpot advanced a new semantic framework built for the Open Semantic Interchange initiative. The company says it will make data models more agent-ready while simplifying AI adoption.

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.

September 26 Insight Jam Session: How to Deliver Data Products Using a Data Mesh Featuring Wayne Eckerson

The concept of a data product seems simple enough, but implementing data products at scale across a complex enterprise is a daunting endeavor. The data mesh was invented to give life to data products by providing a business and technical framework to foster the creation, governance, and distribution of data products throughout an organization. Building data products using a data mesh construct is now a top priority for many data teams.

Watch on Insight Jam

**On-Demand: Insight Jam’s Mini Jam Q3, 2025: The Soft Side of AI Featuring 12 Sessions & More Than 40 Experts**

Join us to uncover the tools, practices, and mindsets needed to keep AI grounded in human values, foster trust, and prepare individuals and organizations for the profound changes ahead. All-in, Mini Jam Q3, 2025 provides an unparalleled opportunity to gain insights, engage with experts, and stay at the forefront of the conversation on human-centered AI. Be sure to register for free at Insight Jam to watch all the sessions live or on demand.

Read on Solutions Review

SR Thought Leaders: Stop Automating Chaos – What the C-Suite Really Needs from Data by Samir Sharma

I believe data strategy is one of those terms that’s been stretched, distorted, and recycled until it’s almost meaningless. In my experience, this is what the C-suite actually cares about: Value, not vanity. A real data strategy doesn’t start with platforms or governance committees. It starts with the business outcomes you are driving for growth, efficiency, and resilience.

Read on Solutions Review

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

This article was written by Tim King on September 26, 2025

Tim King

Executive Editor

Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.