Companies move as fast as their slowest insight. In the era of big data, information is often produced faster than it can be consolidated and analyzed throughout the Enterprise. Analysts battle for the limited engineering resources, so they can construct data sets for their analytics endeavors to ultimately provide insights to fast-growing enterprises.

The Top 5 Takeaways: Maybe your primary focus is online retail. Maybe you just have a small digital store selling merchandise relating to your main business concerns. Whatever the size of your e-commerce venture, integrating your systems and data is vital. You’re probably already dealing with a number of different platforms and SaaS providers, integrating with their APIs and their services to help run your business more smoothly.

How to improve ROI on social media ads as regulations and technology change.

Data warehouse reporting allows you to transform large amounts of data into valuable business insights from multiple sources. Here’s how.

Tell us if this analytics scenario sounds familiar: your organization employs an analyst team that uses old technology, desktop data visualization tools, or homegrown reporting systems to manually build out static dashboards and multiple weekly or monthly reports. As a result, the data analysts have to manually generate and update business reports regularly, and teams cannot keep up. In turn, the rest of the organization is unable to make timely business decisions.

Learn methods for ensuring that data replication remains robust even as schemas change.

Feature engineering is a crucial part of any ML workflow. At Continual, we believe that it is actually the most impactful part of the ML process and the one that should have the most human intervention applied to it. However, in ML literature, the term is often overloaded among several different topics, and we wanted to provide a bit of guidance for users of Continual in navigating this concept.

Our valued partner, Deltek is a leading provider of software and information solutions for project-based businesses. Headquartered in Herndon, Virginia, the company leverages its expertise to maximize efficiency and revenue for clients through project intelligence, management, and collaboration.

ChaosSearch addresses critical pain points and overcomes core operational challenges for FinTech companies, allowing them to accelerate application development and streamline their operations in the cloud. The ChaosSearch data lake platform delivers search and relational analytics at scale directly in Amazon S3, with no data movement, no ETL process, and zero administrative overhead.

According to Statista, global e-commerce sales were worth $4.9 trillion in 2021. With that figure set to increase by 50% over the next 4 years, ensuring customer loyalty is critical. A high repeat purchase rate is key to the success of any e-commerce business. Fortunately, it’s also one of the easiest metrics to track and improve upon.