Systems | Development | Analytics | API | Testing

%term

A Comprehensive Guide on CRM Analytics for Data Analysts

In today’s data-driven world, understanding and leveraging customer data is essential for any business. CRM Analytics (CRMA), or Tableau CRM, is Salesforce's advanced analytics platform, enabling businesses to gain insights from their CRM data. It is designed for data analysts to dig deeper into customer data, generate actionable insights, and help drive business decisions.

Shift Left: Headless Data Architecture, Part 2

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both operational and analytical use cases. Streams provide low-latency capabilities to enable timely reactions to events, while tables provide higher-latency but extremely batch-efficient querying capabilities. You simply choose the most relevant processing head for your requirements and plug it into the data.

How Carrier Management Services Boost Network Efficiency and Security

Network efficiency and security are now critical components for the success of any business As companies scale and embrace digital transformation, managing networks becomes increasingly complex, and protecting them from cyber threats is paramount. Carrier management services (CMS) provide businesses with a streamlined solution to optimize network performance and enhance security, allowing them to focus on innovation without worrying about their network infrastructure.

Top Traffic Replay Alternatives to Enhance Your Testing and Analysis

Traffic replay is a valuable technique for capturing and analyzing network interactions, providing essential insights into user behavior and website performance. Utilizing existing traffic enhances software testing accuracy, allowing for more realistic application testing and ensuring that various environmental factors do not lead to unnoticed errors.

Why Monitoring Matters to ML Data Intelligence in Databricks

Machine learning operations (MLOps) is a practice that focuses on the operationalization of machine learning models. It involves automating and streamlining the lifecycle of ML models, from development and training to deployment and monitoring. Much like data operations (DataOps), MLOps aims to improve the speed and accuracy of the data you’re accessing and analyzing.

Building Trust in AI: Why Ethics and Security Must Be at the Core of AI Innovation

Artificial Intelligence (AI) is transforming industries across the globe, driving innovation, improving efficiencies, and unlocking new possibilities. From autonomous vehicles to personalized healthcare, AI’s capabilities are vast. However, as AI systems become more integrated into our daily lives, the question of trust becomes critical. Can we trust AI to make decisions that align with our values? Can we be sure that AI systems are secure from manipulation or bias?

How Yellowfin Provides True Data Storytelling

Being able to create and share insightful data-led stories to support your dashboards and reports is a critical capability in today’s modern workplace. You want your data to be accessible for more people, and ensure everyone gets value from your investments. Data storytelling tools bring valuable context to the ‘why’ behind the results, while inspiring your audience to care about and act on insights.

CORS Issues in API Development: Simplifying Cross Origin Request

Nowadays, building robust and secure RESTful APIs is a fundamental task. However, developers often stumble upon a common challenge: Cross-Origin Resource Sharing (CORS) issues. These issues can hinder the integration of APIs from across different domains, leading to frustration and delays in development timelines. In this article, we’ll be discussing the intricacies of CORS, and figuring out why these security features are essential.