We have heard of terms such as mobile-first, and now we are embarking on Search First Analytics. 2022 is here, and business people will be pivoting from reading dashboards to quickly searching for insights. Why? Because dashboards can’t keep up with the explosion of data and the natural language search models (even at the enterprise ...
Have you wondered how much data you need to create a good story in Einstein Discovery? Well, you are not the first one with that questions. Check out this short video to understand what it takes to make a good story. Note: Find this video as well as other tips and tricks videos on Einstein ...
Insights, immediate value, and more insights! In Summer ’21 we introduced the all-new reimagined Einstein Discovery for Reports. This product allows you to enhance and augment your experience with Salesforce Reports. With Einstein Discovery for Report [EDR], you can very easily unravel data insights with a couple of clicks within moments. But you might have ...
Let’s assume that your Business Science team has created a great Einstein Discovery model and has deployed it for consumption. As an admin, you are responsible for utilizing this model in your Salesforce instance. In this blog, we are going to go over a specific use case discussing embedding Machine Learning generated predictions inside validation ...
A key pillar in the CRM landscape is pipeline management, where sales representatives track sales opportunities that progress through various stages until closure. This process results in either winning the specific sales opportunity or closing the opportunity without winning the business. The latter may be because the opportunity was lost to a competitor, because the ...
What if there was a system that could use all the accumulated knowledge of your company’s data and language, and in turn use that to learn how you ask questions, to give you the right answers? With Ask Data for Salesforce in Tableau CRM, we democratize analytics by empowering CRM users to easily discover data insights via ...
Einstein Discovery empowers businesses to explore patterns, trends, and correlations in their historical data with the help of auto-generated machine learning models. While understanding the past is helpful, Einstein Discovery machine learning models can be deployed and operationalized to predict future outcomes – all without ever writing a single line of code. Starting with the ...
Einstein Discovery drives business value for companies by eliminating friction in using machine learning, and maximizing its time-to-value. It is designed to facilitate every step of the journey towards operationalizing Machine Learning in the workspace, in a safe, ethical and most of all practical and easy way. This applies training the model and interpreting the Story, but it ...
The Revenue Operations Analytics template helps you uncover key insights for your Sales Leaders and Sales Reps for a more accurate forecast and better visibility into your pipeline and activity trends. Build up your team with the help of key metrics such as quota attainment, a projected forecast, and account reach to boost your team ...
🇯🇵 Read in Japanese Einstein Discovery allows the business scientist to explore patterns, trends and correlations in business data using Stories. The Story answers various questions, depending on the data it was trained on. Examples include Opportunity win-rate analysis, proprensity-to-buy (PTB) and Case average handling-time (AHT) or satisfaction (CSAT) in customer service. One particularly useful component that results automatically from ...
