Tableau

Salesforce Expands Headless 360 Platform

Salesforce announced a major expansion of its Headless 360 initiative, introducing new Model Context Protocol (MCP) servers, a Data 360 MCP Server exposing nearly 200 Data 360 APIs, Slack integrations, developer tools, over 100 reusable Agent Skills, and headless experiences across its major clouds. The changes aim to make Salesforce business capabilities discoverable and invocable by authorized AI agents while preserving existing identity, permissions, workflows, and governance. The company highlighted customer use cases (Engine’s EVA support agent) and partner integrations with Slack and more than 20 partner applications, positioning Headless 360 as the architectural foundation for an "agentic" enterprise that lets AI agents act securely across enterprise systems.

How to Build a Tableau Dashboard and Story

Step-by-step tutorial showing how to create a published Tableau dashboard and a three-point narrative story from a real dataset. The guide uses the Telco Customer Churn dataset (7,043 customers) and a public GitHub repo for data-shaping code. It stresses shaping data upstream (one row per entity, 1/0 outcome column, readable names, ordered buckets), creating a single calculated field for rates (Churn Rate = AVG([Churned])), building four focused worksheets (one point each), assembling them into a dashboard, and sequencing three story points (problem, mechanism, action). It explains Tableau Public publishing requirements (workbooks must use extracts) and gives practical UI steps and common error fixes. The guide also covers visual rules (one-accent color, bar chart accuracy) and advises documenting limitations when publishing.

StackAdapt rethinks DSPs for post-dashboard world

StackAdapt announced Ivy Studio, a new advertising hub built on its Ivy AI engine that uses AI agents to help marketers translate business objectives into measurable outcomes and execute work from a unified interface. The company intends to de-emphasize traditional dashboards and reactive workflows common in DSPs, instead enabling agent-driven interactions that analyze ad context, uncover opportunities, and recommend actions. The article positions Ivy Studio as part of a broader shift toward agentic marketing platforms, while noting marketers still operate across many systems (social platforms, programmatic tools, analytics, CRM/CDP). The piece was published on July 28, 2026, on MarTech and authored by Mike Pastore.