Salesforce is an excellent CRM tool with many features to help you manage your business' workflows. Heroku is a cloud platform that enables developers to build, run and operate great apps. Whether you’re running a small business or managing 1,000 employees, either of these tools can be beneficial for your organization. Here are some ways to get started with Salesforce and Heroku.

Sometimes the lifestyles of the rich and famous aren’t as glamorous as they seem at first glance. We all know that professional athletes can make incredible amounts of money. But by the age of 35, most pro athletes are already at the end of their prime earning years. Historically, a lot of them haven’t managed their money well — and they may even go bankrupt in retirement.

Google Analytics Enhanced Ecommerce Reporting is one of the best tools you can use to gain customer engagement data and create better CRO strategies. Go through this guide to learn how to use this tool to your advantage.

Learn why data transformation is essential to data modeling and bringing your organization to the forefront of data literacy.

Is your model ready for production? It depends on how it’s measured. And measuring it with the right metric can unlock even better performance. Evaluating model performance is a vital step in building effective machine learning models. As you get started on Continual and start building models, understanding evaluation metrics helps to productionize the best performing model for your use case.

We often hear different terms used to describe forward-looking versions of a company’s financial statements. People frequently use these terms interchangeably, with some having a deeper understanding of the nuances in terminology than others. Forward-looking financial documents may include budgets, projections, forecasts, and pro forma financials.

When dealing with large data sets, it is not feasible to manage data transfers without tools that can efficiently scale. Heroku provides effective data management resources for managing data sets in your cloud data warehouse, but you still need tools that can make the ETL process simpler and as automated as possible. Here are the top five ETL tools for Heroku.

Last time in this blog series, we provided an overview of how to leverage the Iguazio Feature Store with Azure ML in part 1. We built out a training workflow that leveraged Iguazio and Azure, trained several models via Azure's AutoML using the data from Iguazio's feature store in part 2. Finally, we downloaded the best models back to Iguazio and logged them using the experiment tracking hooks in part 3. In this final blog, we will.