Informatica vs Tableau

Adobe Announces Anil Chakravarthy to Become President and CEO and Shantanu Narayen to Become Executive Chair on December 1, 2026

Adobe has named Anil Chakravarthy as its next President and CEO, effective December 1, 2026, succeeding Shantanu Narayen, who will become Executive Chair after an 18-year tenure. The board unanimously selected Chakravarthy following a multi-month search. He joined Adobe in 2020 and currently leads Customer Experience Orchestration and worldwide field operations, previously serving as CEO of Informatica. His appointment signals a strategic focus on enterprise customer journey orchestration and agentic AI, with recent launches including CX Enterprise, GenStudio, and Brand Visibility. The transition occurs amid strong financial performance—recent quarterly revenue of $6.62 billion and triple-digit AI-first ARR growth—but also investor concerns about AI disruption, with stock down 18% in 2026 amid broader declines. David Wadhwani, president of creativity and productivity, is leaving. Additionally, Adobe launched Adobe for Slack, integrating 70+ Creative Cloud tools.

• Anil Chakravarthy becomes Adobe's President and CEO on December 1, 2026.
• Shantanu Narayen will become Executive Chair after 18 years as CEO, with the board's unanimous approval.
• Chakravarthy joined Adobe in 2020, previously served as CEO of Informatica, and leads Customer Experience Orchestration.

Salesforce's Acquisition Spree Targets Enterprise AI Layer

Salesforce is aggressively expanding beyond its CRM roots through a series of acquisitions to build an enterprise AI operating layer. Recent deals, including Informatica for $8B (2025), Fin for $3.6B (2026), and Contentful for over $3B (announced June 1, 2026), position the company to integrate data governance, workflow automation, content management, and autonomous customer service agents into its Agentforce platform. The strategy aims to create a unified infrastructure for AI agents, with competitors like Adobe, Microsoft, ServiceNow, and Oracle pursuing similar coordination layers. However, integration complexity remains a critical challenge, and industry experts question whether Salesforce can make its expanding ecosystem operationally cohesive. Governance, interoperability (e.g., MCP support), and the ability to reduce fragmentation will determine success in the enterprise AI era.

• Salesforce acquired Informatica for $8 billion in 2025, strengthening data integration and governance.
• Salesforce announced the $3.6 billion acquisition of Fin, a provider of autonomous customer service agents.
• Salesforce announced the acquisition of Contentful for over $3 billion on June 1, 2026, adding a composable CMS layer.

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.

• Worked example uses the Telco Customer Churn dataset on Kaggle with 7,043 customers (one row per customer).
• Author provides a public GitHub repository (telco-churn-analysis) containing the Python script that shapes the data for the example.
• Recommended calculated field for the rate: Churn Rate = AVG([Churned]) (1/0 column average).

The Tableau+ Bundle with Premium AI, Enterprise Capabilities, and Premier Success

The Tableau+ Bundle combines Tableau Cloud+ Edition and Tableau Next to bring agentic analytics everywhere work happens — with the AI capabilities, enterprise management, and expert support to scale across your entire organization.