An important part of our charter as a company is to help our customers get back to business, with a current focus on minimizing workforce risk and keeping teams healthy and productive. We are excited about the ideas being launched in the market by Salesforce around Work.com, and helping businesses start their journey toward recovery.
A single source of data will allow organizations to quickly build data models and analytical dashboards using data across business units and systems. A native connector from Einstein to Snowflake eliminates the need for potentially costly middleware and significantly simplifies the integration between these systems. But before we can dig into building a model with
Whether you’re using machine learning models built into your CRM platform, or you’re looking to have models you’ve already built to provide insights to your users, orchestrating a seamless user experience is critical to deriving the greatest value from your data science investments. Customer data has always been essential for driving revenue and growing your
Predictive & Prescriptive Capabilities to Improve Actionability
Intervals Enhance the Intelligent Experience Forecasting sales is a hard problem for businesses to solve, especially given that the focus on hitting an exact number is often top of mind for decision-makers. However, it is difficult to predict an exact number, even when organizations have access to high-quality data and sophisticated predictive models. Business processes
What is a recipe? A dataset recipe is simply a saved set of transformations, or steps, that you want to perform on a specific source dataset or connected data. You would use a recipe to perform transformations like combining data from multiple datasets or connected objects, bucketing the data, adding formula fields, and cleansing the
Machine learning, analytical data visualization tools, and advanced AI are changing the CRM space from one that had traditionally been focused solely on data storage and minimal engagement to something new: full-scale systems of intelligence. Organizations looking towards the future want to take advantage of their historical data to build precise, actionable forecasts. There’s no
Dreamforce 2019 was a whirlwind of activity and announcements and the analytics space was no exception. While more details will be shared in the coming weeks and months on new features and functions, I thought it would be helpful to share some first impressions. One theme we saw repeatedly at Dreamforce was Salesforce’s focus on
I recently came across a use case in Einstein Analytics which I’m sure many people have run into in the past. How do we handle yearly “to date” comparisons? Say we want to analyze our sales YTD. That is pretty easy, we just use the “Year to date” filter on our date field. But what