Input widgets are a powerful feature in CRM Analytics (CRMA) that allow users to interact with dashboards and input data in real-time. The release of this feature has expanded the range of possibilities for scenario planning and data analysis within CRMA. One use-case that I have explored is building a mortgage repayment simulator using input ...
Have you heard the saying “All great JSON must come to an end”? Well, maybe not…Or Have you had “go with the dataflow” as a mantra then it’s time to hop on the new trend and start to live by the new mantra “follow the recipe”. Dataflows are slowly being deprecated and while it’s fun ...
Note: In Summer 24 CRM Analytics included Territory Management as part of the default row level security. Check out the blog on how it works and how to set it up here. Data security has always been critical. And sometimes it becomes difficult to align business processes and the data security model. To be honest, ...
If you have been following Dreamforce 2022, you probably have seen a bunny hopping around and heard the buzz around Genie. Genie has many components to it, however, it’s all about bringing all your data together real-time with the aim of getting a complete picture of your customer in such a way that you can ...
Training a machine learning model in Einstein Discovery relies upon data in CRM Analytics (CRMA) datasets. The tight coupling with CRMA datasets provides many benefits to customers in terms of data availability, feature transformations/calculations, a rich ETL layer, connections to dozens of common data sources, and so on. Once deployed to Salesforce, Einstein Discovery models ...
Welcome to part two of the BYOM deep dive. In this post, we will take you through the process of deploying the model we generated in part one of this blog. Similar to part one, the overall structure of this walk-through is contained within two primary phases; some of which also have multiple steps: Deploying ...
Einstein Discovery machine learning helps you build powerful predictive models on your data using clicks, not code. With a simple, wizard-driven interface, you have the ability to rapidly create insights and predictive models. Einstein Discovery utilizes a number of industry-standard algorithms to facilitate building models, these include: GLM (linear and logistic regression) GBM (Gradient Boost ...
Are you a Salesforce admin or Salesforce owner and get requests that “those contacts are not clean”? There are probably duplicates, information that hasn’t been completed, or maybe you haven’t actually touched or worked with this contact in more than a year. If you use this data for your marketing campaigns then it becomes important ...
Testing scenarios has been the number one goal since day one of computing. One great example of this is Deep blue, the first computer to win a chess game vs the world champion while running all possible scenarios as fast as possible. Fast forward to today, and computers are still used to run scenarios of ...
In this awesome blog, written by Rikke, we learned about the union statement, and how can use it to create a multi-dataset query to display different data grouped by a common field (in this case, Account) in a stacked bar chart. The next step would be: what if we want to go further, and explore this feature ...