Salesforce is the most popular CRM (customer relationship management) platform in the world. As last count, the Salesforce CRM enjoyed a 20 percent market share, with more than 150,000 companies among its customers. One of Salesforce’s best features is its ability to run business intelligence (BI) and analytics workloads to identify hidden trends and insights and make smarter decisions for your sales, marketing, and customer support teams.

Nurturing your customer prospects is a crucial task to increase your conversion rates—so how can you make sure that valuable leads don’t fall through the cracks? That’s exactly where software like Marketo comes in. Marketo is a marketing automation tool to help standardize and automate your marketing funnel, helping push your prospects along the buyer’s journey from awareness to acquisition.

Successful analytics depends on choosing the right approach to storing your enterprise data.

For decades, ETL (extract, transform, load) has been a mainstay of organizations’ data integration workflows, moving information from various sources to a centralized data warehouse. More recently, however, businesses have been shaking things up with reverse ETL, which flips the sources and targets by sending data from your warehouse to third-party systems like Zendesk.

Apache Hive and Apache HBase are incredible tools for Big Data. While there is some overlap in their functions, both Apache Hive and Apache HBase have unique qualities that make them better suited to specific tasks. Some key differences include: Ultimately, comparing Apache Hive to Apache HBase is like comparing apples to oranges or Google to Facebook. While the two entities are similar, they don't provide users with the same functionality.

Data warehouses have made it easier for customers to store massive amounts of data. That information is useless, however, unless it is actionable. Making data actionable means employees can use the data for decision-making and improving the user experience. In this article, we’ll discuss reverse ETL, pushing data to Zendesk from your warehouse, and the value of this process.

In today’s 24/7 digital world, real-time data is a necessity to stay relevant for today’s businesses. Companies who wish to remain competitive must be able to quickly respond to customer demand and adjust to market changes. Supplying business leaders with real-time information for informed decision-making can be a challenge with information spread among disparate systems.

NetSuite is an enterprise resource planning (ERP) business management platform part of the Oracle enterprise software ecosystem. Although it's primarily intended for small and medium-sized businesses, organizations of all sizes and industries have successfully used NetSuite to balance their checkbooks, manage inventory, bill and invoice customers, and more.

Intercom bills itself as a “conversational relationship platform,” helping businesses connect with their audiences primarily through live chat, as well as email and chatbots. The Intercom platform offers functionality including engagement and onboarding for new customers, support for existing customers, and marketing for potential customers on the fence.

The world of big data is getting bigger every day. As the volume of data increases exponentially, businesses of all sizes try to capture raw data, process it, and extract insights for competitive decision-making. The end-to-end operation of extracting value from data is called the ETL process. It stands for: A crucial component of the ETL process is the data storage aspect. The two main contentious architectures for storage solutions are databases and data warehouses. But how do they differ?