Business Analytics: Page

Why the rush to replace dashboards with AI is a mistake

AI-generated answers are getting better fast, but dashboards still do something AI can't, even as the line between them blurs more every day.

By Sireesha Pulipati • June 9, 2026

How dashboard sprawl challenges upend enterprise analytics

The proliferation of dashboards, coupled with conflicting data definitions, exposes governance issues in organizations and reduces the ROI of analytics investments.

By Mary Pratt • May 22, 2026

Tableau in transition as AI forces BI vendors to evolve

With its new context layer for AI, the vendor is attempting a needed evolution as agents and other cutting-edge tools reduce enterprise reliance on traditional analytics.

By Eric Avidon • May 6, 2026

New Tableau leader talks vendor’s evolution in era of AI

With longtime data and analytics providers pivoting to find their role within AI workflows, Mark Recher takes over during a time of transition for the vendor.

By Eric Avidon • May 5, 2026

Tableau repositions for AI, unveils new knowledge layer

The Agentic Analytics Platform is designed to help users operationalize contextually relevant data for agents and demonstrates the vendor's ongoing evolution.

By Eric Avidon • May 5, 2026

Business intelligence challenges intensify as AI use grows

AI can produce analytics findings more quickly, but it's all for naught if data quality lags and organizations don't address that and other issues in BI systems.

By Tom Walat • May 1, 2026

Qlik’s Capone departs after eight years as CEO

With AI the dominant trend in data and analytics, the vendor's leader leaves after guiding it through its cloud transition and additions of data integration and AI capabilities.

By Eric Avidon • April 30, 2026

Latest SAS capabilities focus on fostering reliable AI

Features including an MCP server and a framework for developing agents aim to enable trustworthy AI-powered analysis while also helping the vendor catch up to its competition.

By Eric Avidon • April 28, 2026

GoodData joins agentic AI development mix with Agent Builder

Automatic connections to relevant data through a context layer and a no-code development interface aim to simplify building context-aware, cutting-edge applications.

By Eric Avidon • April 27, 2026

How business leaders can make a data-literate culture stick

Data literacy is an ongoing, interactive process. With executive support, a data-literate culture eases backlogs, improves AI outcomes and fosters better decision-making.

By John Moore • April 15, 2026

Latest Qlik tools target helping users achieve AI goals

New analytics, data engineering and governance capabilities are aimed at enabling customers to successfully build and deploy agents and other advanced applications.

By Eric Avidon • April 14, 2026

AI in business intelligence: How to manage it effectively

AI tools are becoming a key part of BI systems, both to streamline tasks and add new analytics capabilities. Here's how to successfully integrate AI into BI processes.

By Donald Farmer • April 13, 2026

Domo drives customer excitement with latest AI capabilities

New features including an MCP server keep the vendor current with industry trends and have users imagining what's possible with agentic AI.

By Eric Avidon • April 1, 2026

Top data preparation challenges and how to overcome them

Data preparation is a crucial but complex part of analytics and AI applications. Don't let these seven common challenges send your data prep processes off track.

By Rick Sherman • March 31, 2026

Build a data literacy program to fit company needs

Want better decisions? Invest in a role-based data literacy program that aligns training to workflows, builds trust in metrics and improves execution on business goals.

By Donald Farmer • March 27, 2026

As AI advances, Domo is evolving to meet customer needs

Once viewed as an analytics specialist, the vendor's product development plans are now focused on helping users build agents and other applications that can be trusted and deployed.

By Eric Avidon • March 27, 2026

Domo adds new governance tools to improve data access

With AI applications taking on more business workflows, new capabilities are aimed at enabling system administrators to ensure the appropriate use of data.

By Eric Avidon • March 26, 2026

Domo doubles down on AI with latest platform additions

New features such as an AI Library, a framework for building agents and an MCP server are all aimed at better enabling customers to operationalize their AI initiatives.

By Eric Avidon • March 25, 2026

ThoughtSpot domain-specific Spotter agents target AI success

With many enterprises struggling to successfully develop AI tools, the vendor's latest capabilities help AI applications access the context they need to be production-ready.

By Eric Avidon • March 19, 2026

8 benefits of using big data for businesses

Big data is a valuable resource for improving business processes and driving innovation. Here are eight ways big data applications benefit companies.

By Donald Farmer • March 12, 2026

GoodData’s Context Management aims to make AI trustworthy

The new context layer includes semantic modeling and governance to make data consistent and discoverable for AI and could help the vendor distinguish itself from some competitors.

By Eric Avidon • March 12, 2026

9 data analytics biases and how executives can address them

Analytics can exhibit biases that affect the bottom line or cause reputational damage through discrimination. It's important to address those biases before problems arise.

By George Lawton • March 9, 2026

10 predictive analytics platforms for enterprises in 2026

The leading products have evolved into autonomous ecosystems that use AI agents and natural language to accommodate users at every skill level and accelerate decision-making.

By George Lawton • March 5, 2026

Yellowfin boosts analytics suite with new NLQ capabilities

The vendor's latest update adds features that bring it more in line with competitors that have been faster to move beyond traditional BI to power their platforms with AI.

By Eric Avidon • Feb. 26, 2026

Build a business intelligence team to optimize data use

Leaders who want to protect data investments must build a strategic business intelligence team with five core roles: the expert, architect, designer, analyst and data steward.

By Donald Farmer • Feb. 25, 2026