Analytics and Data Science News for the Week of June 5; Updates from OneStream, Qlik, ThoughtSpot & More

Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of June 5, 2026.

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 June 5, 2026

Coupa – Compose + Catalyst Aim To Turn Autonomous Spend Management Into A Digital Workforce Of Agents

At Inspire 2026, Coupa launched Coupa Compose, an environment for building and orchestrating agentic AI directly on its autonomous spend management platform, along with Coupa Catalyst, a services program built around forward‑deployed engineers and solution architects. Compose lets customers design, govern, and connect spend‑focused agents—grounded in Coupa’s proprietary dataset—without migrations or new code, while Catalyst pairs those capabilities with expert implementation so organizations actually see value from process and workforce redesign, not just new AI features.

Read on for more→ Coupa launches Compose and Catalyst for agentic AI

Dataiku – “Expert‑to‑Agent” Turns Analysts And Domain Pros Into Agent Designers

Dataiku’s Expert‑to‑Agent (E2A) is worth watching if you care about where analytics roles are headed: it lets business experts and analytics leads turn their know‑how into governed AI agents without handing everything to a separate MLE team. E2A provides a visual, inspectable interface to define goals, connect to real enterprise data and systems, and orchestrate agent behaviors, with governance, lineage, and approvals baked in so these agents can make real decisions—not just suggestions—under enterprise‑grade control.

Read on for more→ Dataiku Expert‑to‑Agent

Economist Impact – “Making AI Deliver” Is Basically A Strategy Deck For Analytics Leaders

Economist Impact’s “Making AI Deliver” benchmark cuts through the hype and lands squarely on the things analytics leaders actually control: operating model, ownership, and governance. Based on 1,200 executives and case studies like DHL, the report shows that top performers treat AI and analytics as a redesign of decision‑making loops—who asks, who explains, who acts—rather than a pile of dashboards and pilots bolted onto unchanged processes.

Read on for more→ Economist Impact: Making AI Deliver

emma Technologies – Puts AI Infra Telemetry In The Same Pane Of Glass As Everything Else

emma Technologies is extending its cloud ops platform so training and inference infrastructure stop being an opaque sidecar the analytics team has to reverse‑engineer. By pulling AI workloads, cross‑cloud networking, and observability into the same governed control plane used for other cloud services, emma is giving data and platform teams a shared operational truth—which is exactly what you need when queries, models, and agents all compete for the same GPU budget and governance scrutiny.

Read on for more→ emma Technologies closes the governance gap in AI infrastructure

Enterprise Vault – Reboots Archiving As AI‑Ready, Sovereign Analytics Infrastructure

The new Enterprise Vault (distinct from the legacy product line) is positioning itself less as “where emails go to die” and more as analytics‑ready, sovereign archiving. It focuses on fine‑grained retention, jurisdictional controls, and data sovereignty across communications and content, so analytics and AI teams can mine historical data without guessing what’s legally in‑bounds or rebuilding yet another shadow archive.

Read on for more→ Enterprise Vault launches modern archiving platform

Foxit – New DMS Tackles “Document Chaos” So Analytics Teams Finally Get A Single Corpus

Foxit’s integrated Foxit DMS looks like a content‑management launch, but the subtext is analytics: give teams one governed corpus to actually analyze. By unifying storage, search (with metadata and OCR), versioning, and retention—tightly integrated with Foxit PDF Editor and eSign—it turns scattered contracts, policies, and operational docs into a searchable, analyzable asset, rather than something analysts have to chase across inboxes and shared drives.

Read on for more→ Foxit launches integrated DMS

Glean – Benchmarks Its Context Layer Against Off‑The‑Shelf MCP And Comes Out 2.5x Ahead

Glean ran a head‑to‑head between its knowledge‑graph‑backed context layer and generic MCP servers inside Claude Cowork, and the numbers line up with what many data leaders already suspect. Glean’s approach was preferred about 2.5x more often for utility, correctness, completeness, and execution quality, while off‑the‑shelf MCP consumed roughly 30% more tokens on average (spiking to ~2x on harder tasks), underscoring how much a strong enterprise context layer matters to both answer quality and LLM costs.

Read on for more→ Glean vs. off‑the‑shelf MCP

HYCU – aiR Turns Backup Into A Live Analytics Surface For Risk, Not Just Cold Storage

HYCU’s new aiR (AI Resilience) feature is a quiet but important shift: running queries and agents over backup data, not just production systems. With aiR, security, compliance, and IT teams can use natural language and specialized agents to detect insider risk, sensitive data exposure, identity drift, and AI activity across dozens of SaaS and cloud apps—using a copy of the truth attackers can’t easily tamper with.

Read on for more→ HYCU aiR launch

Lenovo – AI Library Promises “One‑Week” Deployment Of Production‑Ready Analytics Agents

Lenovo’s AI Library, part of its Hybrid AI Advantage program, is basically a catalog of pre‑built analytics and decision agents aimed at getting customers into production in a week, not a quarter. It includes agentic solutions for predictive maintenance, quality inspection, customer engagement, and operations across manufacturing, retail, and healthcare, with independently validated results showing ~30% productivity gains and up to 120 hours saved per employee per year.

Read on for more→ Lenovo AI Library for agentic AI solutions

OneStream – Doubling Down On “Finance‑Led AI” Rather Than AI‑Led Finance

OneStream’s latest moves are more about culture and operating model than features, which is exactly why they matter for analytics. With Splash 2026 and a World Tour across London, Paris, Amsterdam, and Madrid, OneStream is pushing a “finance‑led AI” message: SensibleAI agents embedded in planning and reporting, natively accessible in Excel and Teams, and used by real finance teams to shorten close cycles and strengthen insight—without breaking governance.

Read on for more→ OneStream announces Splash 2026 and World Tour

Portal26 – Free AI Governance For Claude Gives Analytics Leaders A Way To Say “Yes” Safely

Portal26 is rolling out a free tier of AI governance and security focused on enterprise Claude deployments, which is exactly where a lot of analytics and knowledge workflows are headed. The platform gives teams visibility into prompts, data flows, and usage patterns, plus policy‑based controls for sensitive data, so analytics leaders can green‑light more GenAI experimentation without losing the plot on governance.

Read on for more→ Portal26 AI governance for Claude

Randstad Digital – Quantifies The Analytics Skill Gap Driving The “Productivity Paradox”

Randstad Digital’s “AI Capability Gap” report puts hard numbers behind the feeling many analytics leaders already have: the tools are racing ahead of the talent model. Seventy‑four percent of tech workers say they need to upskill to stay relevant; 52% pursue training on their own; and 27% think their organizations still underinvest—helping explain why AI and analytics rollouts can boost activity metrics without translating into consistent business outcomes.

Read on for more→ AI is boosting productivity, but businesses are missing the payoff

Sigma – Snowflake Names It BI Product Partner Of The Year, And Sigma Leans Into “Runtime For Agents”

At Snowflake Summit 2026, Sigma was named 2026 Business Intelligence Snowflake Product Partner of the Year and 2026 EMEA Product Growth Partner of the Year, cementing its position as a first‑class analytics front‑end on the AI Data Cloud. Sigma is also talking about itself as “the runtime layer for analytics, apps, and agents on live data,” signaling a push beyond classic BI toward agent‑driven workflows that execute directly on warehouse data rather than pulling extracts into separate tools.

Read on for more→ Sigma named 2026 Snowflake BI Product Partner of the Year

Snowflake + Crunchbase – $113B To “AI‑Ready Data Infrastructure” Confirms Where The Real Analytics Bottleneck Is

Snowflake and Crunchbase’s joint report finds that more than $113 billion in VC money has gone to “AI‑ready data infrastructure” startups since 2020, spread across over 1,300 companies in the Snowflake ecosystem. Nearly half of that funding targets machine learning and data science tools, with the rest flowing into governance, observability, integration, and analytics layers—essentially the unglamorous plumbing that determines whether BI and AI projects ever get out of pilot.

Read on for more→ $113B to AI‑ready data infrastructure in the Snowflake ecosystem

Spendflo – Flo AI Uses Three Agents To Turn SaaS Procurement Into A Connected Analytics Workflow

Spendflo’s Flo AI is a three‑agent system for mid‑market SaaS procurement that looks a lot like analytics and data science wrapped in a business workflow. Flo Procure, Flo Contracts, and Flo AP carry structured and unstructured context from intake to contract review to invoice matching, so what you approve at the front door is exactly what gets paid—without relying on disconnected tools or heroic spreadsheet checks.

Read on for more→ Introducing Flo AI

Tableau – Agentic Analytics Platform Turns Dashboards Into Just One Delivery Channel

Tableau’s new Agentic Analytics Platform is a deliberate repositioning: from “place you build dashboards” to “knowledge and decision engine” for the agentic enterprise. Built on a knowledge layer that combines data, semantic models, and metadata, Tableau’s platform adds conversational analytics, a graph‑powered knowledge engine, and a headless analytics layer via MCP so insights can show up in Slack, Teams, Google Workspace, Claude, and other tools where decisions actually happen—while the Agentic Analytics Command Center (coming later this year) will provide centralized oversight of agents and workflows.

Read on for more→ Tableau on Agentic Analytics

ThoughtSpot – Deepens Snowflake Cortex And Semantic Views Integration For Governed Agentic Analytics

ThoughtSpot is using Snowflake Summit to tighten the loop between its Spotter agents and Snowflake’s AI Data Cloud, particularly Cortex AI and Semantic Views. Spotter can now reason directly over Snowflake’s semantic layer and run heavy lifting on Cortex, so users get conversational analytics grounded in governed metrics and definitions, with actions pushed back into operational tools—without the usual semantic drift that happens when BI and AI live on separate stacks.

Read on for more→ ThoughtSpot expands governed enterprise AI with Snowflake

Vena – Adds Excel‑Native Financial Consolidation And An Agentic Suite For “Orchestrated Planning”

At Excelerate Finance Fest 2026, Vena introduced an AI‑enabled Financial Consolidation product that brings audit‑ready consolidation and close into the same Microsoft‑native environment finance teams already use for planning. Vena also highlighted the GA of Vena Planning Agent, Vena MCP Server, and a unified data layer with Acterys, framing itself as an “Orchestrated Planning, Decisioning and Close” platform where people, data, processes, and agents work together across planning, analytics, and financial close.

Read on for more→ Vena announces financial consolidation and AI‑amplified innovations

Veeam – DataAI Command Platform Makes Backup Data A First‑Class Trust Layer For Analytics And Agents

Veeam’s DataAI Command Platform is nominally about cyber resilience, but it effectively creates a unified trust fabric across production and backup data that analytics and AI teams can lean on. With a 300+ connector DataAI Command Graph, DataAI Security (combining DSPM with identity intelligence), and DataAI Governance enforcing policies at the data source, it gives organizations a single place to reason about what data exists, who can touch it, and which agents are allowed to act on it.

Read on for more→ Veeam launches DataAI Command Platform

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.

Insight Jam and Donald Farmer Launch Waitlist for New Mesh Expert Group on the Last Mile: Analytics Leadership in the Age of AI

Over twelve monthly sessions, a cohort of just eight senior analytics and BI leaders works through the practical and strategic dimensions of leading in an AI-augmented environment.

The sessions build progressively: early months establish a framework for where human judgment remains indispensable; middle months address the operational pressures, data quality, governance, the proliferation of shadow AI tools, and conversational interfaces that complicate deployment in real organizations; later months turn toward team development, role evolution, and a planning horizon of two years.

Join the waitlist on Insight Jam

The Editors Lens: The Universal Semantic Layer is Becoming the Control Pane for Enterprise AI by Tim King

Enterprise AI adoption is accelerating quickly, but it’s clear organizations continue to struggle with what some leaders now describe as the “AI trust gap.” As AI become more deeply embedded into operational workflows, enterprises are discovering that access to data alone is not enough to ensure reliable outcomes, especially as AI requires consistent interpretation, governed access, and trusted context across increasingly distributed environments.

Read on Solutions Review

Information Gain Series: Why Data is Like Fire: The AI Accountability Crisis No One Talks About

During a recent episode of Insight Jam, Solutions Review President Doug Atkinson sat down with Sujay Dutta to discuss one of the least understood realities of the AI era: most organizations are attempting to scale artificial intelligence on top of data foundations that were never designed for real-time AI execution.

Read on Solutions Review

–

Solutions Review Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI

Solutions Review has officially surpassed 250,000 subscribers on YouTube, a milestone that’s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy centered on authoritative video, human-led insight, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.

Read on Solutions Review

Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI

Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.

Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.

Sign Up Free

How One Solutions Review Article Reshaped AI Answers Across an Entire Software Category

Something just happened in the AI search landscape that most companies will miss. But the ones who understand it will have a multi-year advantage. In January, Solutions Review recorded a 324 percent increase in media domain citations across AI answer engines in less than 30 days.

Read on Solutions Review

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