Big statement, right? Well, I stand by it 100%. And not just because Salesforce Data Pipelines (SDP) is a big part of what I work with. The past few months I’ve had conversations with some of my friends that work with Salesforce – not Tableau CRM – around data admin tasks. It made me think ...
Do you ever find yourself challenged by finding and working with ‘the most trending XYZ’, where ‘XYZ’ is the product, case reason, topic item, or technically spoken any other variable? This blog post will address and help you solve this challenge by using the descriptive capabilities of Tableau CRM (meaning it’s all point and click) ...
In Spring ‘22, Time Series Forecasting in Data Prep Recipes just got much more powerful with the introduction of Grouped Forecasts~~!! What is Time Series Forecasting in Data Prep? Data Prep Recipes run on our next-generation data platform, which includes machine-learning powered Smart Transformations out of the box: Detect Sentiment, Predict Missing Value, Clustering, and Time Series Forecasting. Time ...
In Spring ‘22, Detect Sentiment in Data Prep Recipes just got much more powerful with the introduction of Numerical Sentiments and Sentiment Scores! What is Sentiment Analysis in Data Prep? Data Prep Recipes run on our next-generation data platform, which includes machine-learning powered Smart Transformations out of the box: Detect Sentiment, Predict Missing Value, Clustering, ...
This blog is part of the Data Orchestration blog series. In this part of the series, we will discuss in detail how to work with dependent dataflows and recipes including a practical approach. Dependent Dataflows and Recipes Let’s quickly review the “tale of three dataflows” from part 6. We had three dataflows Astro, Codey, and ...
This blog is part of the Data Orchestration blog series. Data sync should be maintained as your requirement and environment evolved. In this part, we are highlighting the important elements of maintaining data sync. Next, we a taking a closer look at data prep tools (dataflow and recipe), their limits, and scheduling of data prep. ...
