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TC25 Recap: Salesforce Just Made Data Cloud Smarter with the Semantic Layer
The Ateko (formerly CloudKettle) team was at Tableau Conference 2025 in San Diego this past April. The energy was palpable, the data visualizations were stunning, and the community spirit was at an all time high. While there were countless innovations and insights shared, one thing stood out when looking at everything through the lens of…
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The Beginner’s Guide to Joins in CRM Analytics
In the world of Business Intelligence, the ability to combine data from different sources is essential. Salesforce CRM Analytics (formerly Tableau CRM) offers a powerful feature called “joins” in its Recipe tool. You can think of creating joins as playing the role of a matchmaker for your data. They allow you to bring together data…
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Beyond the Hype: How the Salesforce-Google Partnership May Transform Your Business
The world of enterprise AI is evolving at an unprecedented pace. Just this week, Salesforce and Google Cloud announced a major expansion of their strategic partnership—and although all the details are not yet known, it looks very promising. This collaboration brings together two industry giants, giving businesses unparalleled choice, flexibility, and power in how they…
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CRM Analytics Development Lifecycle: Production vs. Sandbox
When CRM Analytics is selected as a Business Intelligence application for data visualization, a common question always arises: Should we develop in Production or in a Sandbox? In this post, we will cover advantages and disadvantages of using Production and Sandbox for any CRM Analytics development projects, and also cover the Admin responsibilities when it…
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Getting Started with CRM Analytics (Formerly Einstein Analytics)
Many enterprises leverage Salesforce for its native reports and dashboards to understand their data and performance. However, over the last few years, with “the volume of customer data has been growing exponentially every day, exploring data manually has become a bigger challenge” (click here to read more). CRM Analytics (formerly Tableau CRM, formerly Einstein Analytics)…
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Maturity Levels in Business Intelligence
Where do we stand? And how do we improve? The world of Business Intelligence (BI) can be complicated to navigate. With many moving pieces, multiple technologies, and many different people and departments being impacted, it can be challenging to know what steps need to be taken for your organization to level up and reach the…
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Creating Effective User Stories for Salesforce
When managing any Salesforce project, one of the keys to success is the creation of properly written User Stories. These will provide your team with the building blocks they need to complete the project successfully. What Is a User Story? A User Story is essentially a task – a piece of work that needs to…
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How CRM Analytics Benefits the C-Suite
CRM Analytics can be a significant asset to any organization with large volumes of data, especially if much of that data exists in Salesforce. By combining powerful analytics, data transformation tools and custom reporting with a seamless Salesforce integration, the benefits are clear to any Business Intelligence (BI) professional. But before any investment in BI…
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Preparing Data Using CRM Analytics: A Sample Recipe
Einstein Discovery (ED) is an AI-driven analytics platform that allows Users to get deeper insights and predictions out of their data, based on historical data without having to build complicated machine learning/AI models by themselves. Einstein Discovery is known for creating sophisticated models, but the data provided must be good quality (remember: garbage in, garbage…
