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Data is not just a buzzword; it’s a strategic asset. From sales figures to customer engagement metrics, data plays an important role in helping your business grow. But here’s the catch: without the right visualization, uncovering actionable insights can be a challenge. For example, let’s say you want to know which marketing channels are driving the highest amount of website traffic and conversions.

Every business that analyzes their operational (or transactional) data needs to build a custom data pipeline involving several batch or streaming jobs to extract transactional data from relational databases, transform it, and load it into the data warehouse. In this post, we show how you can leverage Amazon Aurora zero-ETL integration with Amazon Redshift and ThoughtSpot for GenAI driven near real-time operational analytics.

A patient interaction turned into clinician notes in seconds, increasing patient engagement and clinical efficiency. Novel compounds designed with desired properties, accelerating drug discovery. Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas.

We’ve all heard that data helps businesses make better decisions. The good news? This isn’t just speculation: research shows that companies who use data to drive decision making increase revenues by an average of more than 8%, are 23 times more likely to attract new customers, and are 19 times more likely to be profitable as a result.

Learn how to integrate Salesforce with a REST API in this step-by-step guide. Discover the advantages of Salesforce REST API integration, and explore the process of authentication, making API requests, and handling data sync. Find expert tips for successful integration, empowering you to optimize Salesforce for enhanced business operations.

The Apache Flink PMC is pleased to announce the release of Apache Flink 1.18.0. As usual, we are looking at a packed release with a wide variety of improvements and new features. Overall, 174 people contributed to this release completing 18 FLIPS and 700+ issues. Thank you! Let's dive into the highlights.

In the world of SaaS (Software as a Service) industry, customer-centricity is crucial since it has a direct impact on the success, growth, and sustainability of SaaS businesses. With the industry being highly competitive, retaining clients is equally important as acquiring new ones. At Databox, our mission is to offer a business analytics platform that makes it as easy as possible for everyone in a company to monitor, analyze, benchmark, and improve performance in one spot on any device.

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Together, predictive analytics and AI can help application teams by streamlining processes, generating personalized recommendations, and creating a more intuitive and efficient user experience.