BBI and Cloudera: Partnering for Data and AI Success

Hussein Ragy, CEO of BBI, discusses their strong, four-year partnership with Cloudera. He highlights how Cloudera's leading data, AI, and platform capabilities, including for sovereign data and agentic AI, help BBI provide the best solutions for customers' cloud and hybrid architecture needs, emphasizing a unified approach to service delivery.

Secure On-Prem SQL Server to Salesforce ETL

Modern teams need to move sensitive data from on-prem SQL Server into Salesforce safely and predictably. This guide explains how to design, implement, and operate a secure ETL that balances performance with controls. It is written for data engineers, platform owners, and security leads who support regulated workflows. You will learn core components, common pitfalls, architecture patterns, and a phased implementation plan with code examples.

Leveraging ThoughtSpot for Managing Complex Joins

Stop manually wrangling data and start automating your governance. In this technical deep-dive, we explore how to leverage ThoughtSpot Modeling Language (TML) to manage complex joins and enforce strict business rules at the architectural level. Traditional UI joins are great, but sometimes you need to ensure end-users only interact with a specific subset of data—like active subscribers—without giving them the ability to toggle filters. By moving your logic into TML, you create a "Join with Filters" that hardcodes business rules directly into your data model.

From "What Happened?" to "Why?" - AI Analytics Built for Marketers | Spotter

Are your marketing dashboards telling you what happened—but never why? Campaigns are underperforming, budgets are under scrutiny, and every answer seems to require a ticket to the data team. ThoughtSpot CMO, Micheline Nijmeh, just went hands-on with Spotter—the AI analyst built for marketers who need answers now, not next sprint. Spotter doesn’t just chat. It investigates your toughest marketing questions so you can move from guesswork to confidence: Why did pipeline drop this week?

Activation is broken: why most SaaS teams get it wrong and how to fix it

If activation feels fuzzy in your company, you’re not alone. In fact, Rodrigo Fernandez has seen the same pattern across hundreds of SaaS businesses: growth teams get handed “increase activation,” but no one actually owns what activation means, how it’s defined, or how it’s measured. And when activation isn’t owned, it becomes a committee decision. It turns into noise. And your product data stops being useful.

Tableau MCP vs. Databox MCP: Enterprise Control vs. AI-Native Speed

The Model Context Protocol (MCP) is reshaping business intelligence. It provides the technical standard for a new class of generative BI tools that let you talk to your data. The engine behind this revolution is the MCP server—the essential component that connects AI models (like Claude or Cursor) to a company’s data. This article examines Tableau’s official MCP server vs. Databox MCP to help you decide between a traditional BI add-on and an AI-native headless platform.

Move From Integration Challenges to Unified Data Connectivity

Your first data integration took two weeks. The second took three weeks, because you had to refactor some code. Your third one is now in week five, and you’re realizing the architecture you built for two sources doesn’t scale to three. If this sounds familiar, you’re not alone. This isn’t because your team isn’t capable. It’s because data integration complexity doesn’t scale linearly. It compounds. It doesn’t have to be this way.