Systems | Development | Analytics | API | Testing

Salesforce is the world’s leading CRM (customer relationship management) platform: More than 100,000 organizations use it worldwide. Thanks to its vast array of powerful features, it’s no surprise that Salesforce has become the most popular software as a service (SaaS) CRM, with an estimated 18 percent market share. Despite this functionality, Salesforce can’t do everything alone.

Raw data—like unrefined gold buried deep in a mine—is a precious resource for modern businesses. However, before you can benefit from raw data, the process of data transformation is a necessity. Data transformation is the process where you extract data, sift through data, understand the data, and then transform it into something you can analyze. That’s where ETL (extract, transform, load) pipelines come into play.

Data is the lifeblood that runs through your organization. It powers automated workflows, gives customer service reps the full story every time the phone rings, drives every upgrade planned for a product, informs decision-making leaders on what to focus next, and an endless list of etceteras. Wouldn’t it be amazing to have all your data in one place? Yes. Can you? Well…. It’s complicated.

A performance report delivers a plateful of benefits. Here are 9 examples of how these reports helped SaaS experts improve their product.

Analysts and data scientists use SQL queries to pull data from the data storage underbelly of an enterprise. They mold the data, reshape it, and analyze it, so it can offer revenue-generating business insights to the company. But analytics is only as good as the material it works with. That is, if the underlying data is missing, compromised, incomplete, or wrong, so will the data analysis and inferences derived from it.

As Halloween night quickly approaches, there is only one question on every kid’s mind: how can I maximize my candy haul this year with the best possible candy? This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources.

When it comes to app development, low-code is the future. Many companies and organizations are already turning to low-code or no-code solutions for their business-related software needs. While low-code is changing the game when it comes to app development, is low-code really the way to go? And if low-code tools really are the right choice for your organization, how do you go about finding the right platform for your business goals? And what should you even be looking for in a low-code platform?

There is no one-size-fits-all agency business model. 20 agency owners share the pros and cons of their pricing models.