Systems | Development | Analytics | API | Testing

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How to Align API Metrics to Business Objectives

Join Matt Tanner, Head of Developer Relations at Moesif, for a deep-dive webinar on aligning API metrics with your business objectives. In this session, you'll learn how to move beyond traditional infrastructure metrics like uptime and latency and instead focus on metrics that drive customer value and business growth, such as adoption, engagement, and retention. Matt shares actionable insights on: This webinar is perfect for product managers, developers, and business leaders looking to enhance their API strategies and drive significant business outcomes.

Proven Testing Strategies for Modern Payment Systems

Across industries, failed payments can have irreversible consequences. Ensuring a smooth and reliable payment process is not just about preventing revenue loss but also about maintaining customer trust and satisfaction. This underscores the critical importance of comprehensive payment testing to maintain transactional integrity and customer satisfaction in today’s digital economy. This article explores payment testing best practices to ensure excellence in digital transactions.

Astera's Guide to Marketing Data Integration and Governance

Customer data provides a treasure trove of insights into their behavior and preferences. Marketers must leverage this information to drive strategic decisions and optimize marketing campaigns. Analysts must consolidate fragmented data across various systems to use customer data effectively. With proper data integration and governance, marketers can effectively transform their data assets into insights that inform their decision-making.

2024 Smoke Testing Guide

As we move through 2024, early-stage quality assurance methods ensure you meet the changing software development landscape. As a preliminary test phase, smoke testing verifies that the application’s functionalities work as expected after updates or integrations. This article will explain why smoke testing is important, as well as practical applications, examples, and best practices for smoke testing in the early stages of development.

insightsoftware's Open Business Data Fabric

Imagine you're in finance, juggling with data scattered across countless applications. Combining information from various sources for tasks like budgeting, forecasting, and regulatory unnecessarily hard. The traditional data warehouse approach promises a solution, but it comes with a hefty price tag. It's slow, expensive to maintain and requires constant IT involvement. Data Fabric offers a more promising approach. It connects to various data sources in real time, eliminating outdated information and providing a unified view for applications and BI tools.

86% of IT leaders say data streaming is a priority for IT investment in 2024

Confluent survey: 90% of respondents say data streaming platforms can lead to more product and service innovation in AI and ML development. 86% of respondents cite data streaming as a strategic or important priority for IT investments in 2024. For 91% of respondents, data streaming platforms are critical or important for achieving data-related goals.

6 Critical Features of Enterprise Intelligence Solutions

Data is the lifeblood of businesses. But the vast amount of data businesses accumulate makes it difficult to turn that data into actionable insights. Enterprise intelligence solutions offer a system for collecting, managing, analyzing, and monitoring your process and business data. A good enterprise intelligence solution empowers organizations to make informed, data-driven decisions, enhance operational efficiency, and maintain a competitive advantage.

The Award Winning Formula: How Cloudera Empowered OCBC With Trusted Data To Unlock Business Value from AI

Recently, Cloudera, alongside OCBC, were named winners in the“Best Big Data and Analytics Infrastructure Implementation” category at The Asian Banker’s Financial Technology Innovation Awards 2024. This recognition underscores the importance of trusted data when building AI and generative AI (GenAI) models and serves as a testament to the impact that reliable data can have in real world use cases.